portfolio management_meenakshi parashar
TRANSCRIPT
-
8/6/2019 Portfolio Management_Meenakshi Parashar
1/79
1.1 DEFINITION - PORTFOLIO MANAGEMENT
A portfolio is a collection of assets. The assets may be physical or financial like
Shares, Bonds, Debentures, Preference Shares, etc. The individual investor or a
fund manager would not like to put all his money in the shares of one company,which would amount to great risk. He would therefore, follow the age-old
maxim that one should not put all the eggs into one basket. By doing so, he
can achieve objective to maximize portfolio return and at the same time
minimizing the portfolio risk by diversification.
Portfolio management is the management of various financial assets,
which comprise the portfolio.
Portfolio management is a decision support system that is designed
with a view to meet the multi-faced needs of investors.
According to Securities and Exchange Board of India Portfolio is defined
as portfolio means the total holdings of securities belonging to any person.
Portfolio manager is a person who is pursuant to a contract or
arrangement with a client, advises or directs or undertakes on behalf of the client
(whether as a discretionary portfolio manager or otherwise) the management or
administration of a portfolio of securities or the funds of the client. Discretionary portfolio manager means a portfolio manager who
exercises or may, under a contract relating to portfolio management exercises
any degree of discretion as to the investments or management of the portfolio of
securities or the funds of the client.
Portfolio management and investment decision as a concept came to be
familiar with the conclusion of second world war when things in the stock
market liberally ruined the fortune of individual, companies, even government, it
was then discovered that investing in various scrips instead of putting all the
money in a single security yielded greater return with low risk percentage, it
goes to the credit of HARRY MARKOWITZ, 1991 noble laurelled to have
pioneered the concept of combining high yielded securities with these slow but
steady yielding securities to achieve optimum correlation coefficient of shares.
Portfolio management refers to the management of portfolio for others
by professional investment managers it refers to the management of an
1
-
8/6/2019 Portfolio Management_Meenakshi Parashar
2/79
individual investors portfolio by professionally qualified person ranging from
merchant banker to specified portfolio company.
Definition by SEBIA portfolio is the total holdings of securities belonging to any person.
Portfolio is a combination of securities that have returns and risk characteristics
of their own; portfolio may not take on the aggregate characteristics of their
individual parts.
Thus a portfolio is a combination of various assets and /or instruments of
investments. Combination may have different features of risk and return separate
from those of the components. The portfolio is also built up of the wealth or
income of the investor over a period of time with a view to suit return or risk
preference to that of the port folio that he holds. The portfolio analysis is thus an
analysis of risk return characteristics of individual securities in the portfolio
and changes that may take place in combination with other securities due
interaction among them and impact of each on others.
Security analysis is only a tool for efficient portfolio management.
Portfolios are combination of assets held by the investors. These combinations
may be various assets classed like equity and debt or of different issues like
Govt. bonds and corporate debts or of various instruments like discount bonds,
debentures and blue chip equity scrips.
Portfolio analysis includes portfolio construction, selection of securities,
and revision of portfolio, evaluation and monitoring of the performance of the
portfolio. All these are part of the portfolio management.
The traditional portfolio theory aims at the selection of such securities
that would fit in well with the asset preferences, needs and choices of the
investors. Thus, retired executive invests in fixed income securities for a regular
and fixed return. A business executive or a young aggressive investor on the
other hand invests in growing companies and in risky ventures.
The modern portfolio theory postulates that maximization of returns and
minimization of risk will yield optional returns and the choice and attitudes of
investors are only a starting point for investment decisions and that vigorous risk
returns analysis is necessary for optimization of returns.
2
-
8/6/2019 Portfolio Management_Meenakshi Parashar
3/79
1.2 NEED & IMPORTANCE OF THE STUDY
Portfolio management has emerged as a separate academic discipline in
India. Portfolio theory that deals with the rational investment decision-making
process has now become an integral part of financial literature.
Investing in securities such as share, debentures & bonds is profitable as
well as exciting. It is indeed rewarding but involves a great deal of risk.
Investing in financial securities is now considered to be one of the most risky
avenues of investment. It is rare to find investors investing their entire savings in
a single security. Instead they tend to invest in a group of securities. Such group
of securities is called as PORTFOLIO. Creation of portfolio helps to reduce riskwithout sacrificing returns. Portfolio management deals with the analysis of
individual securities as well as with the theory and practice of optimally
combining securities into portfolios.
The modern theory is the view that by diversification risk can be
reduced. The investor can make diversification either by having a large number
of shares of companies in different regions, in different industries or those
producing different types of product lines. Modern theory believes in the
perspective of combination of securities under constraints of risk and returns.
3
-
8/6/2019 Portfolio Management_Meenakshi Parashar
4/79
1.3 SCOPE OF THE STUDY
The study covers the calculation of correlations between the different
securities in order to find out at what percentage funds should be invested among
the companies in the portfolio.
It includes the calculation of individual Standard Deviation of securities,
weights of individual securities involved in the portfolio.
These percentages help in allocating the funds available for investment
based on risky portfolios.
It also includes risk and return of portfolios and their performance
evaluation for a limited number of scrips.
4
-
8/6/2019 Portfolio Management_Meenakshi Parashar
5/79
1.4 OBJECTIVES OF THE STUDY
The major objectives of the study are as follows
1. To study the investment pattern and its related risk & returns.
2. To construct an effective portfolio that offers the maximum return for
minimum risk.
3. To help the investor choose wisely between alternative investments.
4. To understand, analyze and select the best portfolio.
5
-
8/6/2019 Portfolio Management_Meenakshi Parashar
6/79
1.5 RESEARCH METHODOLOGY
The time taken for the completion of the project is 45 days.
Sample Size: 6 COMPANIESSampling technique: Random sampling
SOURCES OF DATA COLLECTION: The data collection methods include
both the primary and secondary collection methods.
Primary collection methods: Study was done by personal investigation through
observation and personal discussion with the authorized clerks and members of
the exchange.
Secondary collection methods: The secondary collection methods include
Companies Annual Reports
Information from Internet
Publications
Information provided by India Infoline
COMPANIES SELECTED
Infosys Technologies Ltd
Reliance Industries Ltd
Tata steel Ltd
Ultratech Cements Ltd
ICICI Bank
ITC Ltd
6
-
8/6/2019 Portfolio Management_Meenakshi Parashar
7/79
1.6 LIMITATIONS OF THE STUDY
This study has been conducted purely
to understand Portfolio Management for investors while other parameters
were given little importance.
Data collection was strictly confined to secondary source. No primary
data is associated with the project.
There is stiff competition that makes it difficult for the investor to choose
a good manager. However, this can be sorted out by taking his previous history
and performance into account. Studying the history of the various companies is
time consuming
Construction of portfolio is restricted to two companies based on
Markowitz model.
There was a constraint with regard to time allocation for the research
study i.e. for a period of two months. Only 6 companies were selected for the
study, which limits the combination.
7
-
8/6/2019 Portfolio Management_Meenakshi Parashar
8/79
Harry Markowitz opened new vistas to modern portfolio selection by
publishing an article in the Journal of Finance in March 1952. His publication
indicated the importance of correlation among the different stocks returns in the
construction of a stock portfolio. Markowitz also showed that for a given level
of expected return in a group of securities, one security dominates the other. To
find out this, the knowledge of the correlation coefficients between all possible
securities combinations is required.
After the publication of his paper, numerous investment firms and
portfolio managers developed Markowitz algorithms to minimize portfolio
variance i.e. risk. Even today the term Markowitz diversification is used to refer
to the portfolio construction accomplished with the help of security covariance.
2.1 INVESTMENT
Investment is the commitment of funds for a return expected to be
realized in the future. Investment is the employment of funds on assets with the
aim of earning income or capital appreciation. Investment has two attributes
namely time and risk. Present consumption is sacrificed to get a return in the
future. Investment can be made in financial assets or physical assets. In either
case there is possibility that the actual return may vary from the expected return,
that possibility is risk involved in it.
Financial investment is the allocation of money to assets that are
expected to yield some gain over a period of time. Investment is an activity that
is undertaken by those who have savings. Savings can be defined as the excess
of income over expenditure.
The three important characteristics of any financial asset are:
Return- the potential return possible from an asset.
Risk- the variability in returns of the asset forms the chances of its value
going up/down.
Liquidity- the ease with which an asset can be converted into cash.
Investors tend to look at these three characteristics while deciding on
their individual preference pattern of investments. Each financial asset will have
a certain level of each of these characteristics.
8
-
8/6/2019 Portfolio Management_Meenakshi Parashar
9/79
Investment is generally distinguished from speculation in terms of 3
factors namely risk, capital gain and time period. Speculation means taking up
the business risk in the hope of getting short-term gain. Speculation essentially
involves buying and selling activities with the expectation of getting profit from
the price fluctuations. The investor constantly evaluates the worth of security
whereas the speculator evaluates the price movement. Gambling is the extreme
form of speculation. There is no risk and return trade off in gambling and
negative outcomes are expected.
INVESTMENT PROCESS
INVESTMENT AVENUES
There are a large number of investment avenues for savers in India. Some ofthem are marketable and liquid, while others are non-marketable. Some of them
are highly risky while some others are almost risk less. Investors may be
individual or institutions. Investment avenues can be broadly categorized as
follows.
9
-
8/6/2019 Portfolio Management_Meenakshi Parashar
10/79
CORPORATE SECURITES
PORTFOLIO:
A portfolio is a collection of investments held by an institution or an
individual. Holding a portfolio is a part of an investment and risk-limiting
strategy called diversification. By owning several assets, certain types of risk (in
particular specific risk) can be reduced. The assets in the portfolio could include
bank accounts, stocks, bonds, options, warrants, gold certificates, real estate,
futures contracts, production facilities, or any other item that is expected to
retain its value.
10
EquityShares
Preferenceshares
Bonds Warrants Derivatives
Investment
Deposits
Tax Shelters
Financial Derivatives
Equity Shares
Mutual Fund
Fixed Income
Securities
Life Insurance
Real Estate Precious Objects
-
8/6/2019 Portfolio Management_Meenakshi Parashar
11/79
-
8/6/2019 Portfolio Management_Meenakshi Parashar
12/79
OBJECTIVES OF PORTFOLIOMANAGEMENT:
The main objective of investment portfolio management is to
maximize the returns from the investment and to minimize the risk involved in
investment. Moreover, risk in price or inflation erodes the value of money andhence investment must provide a protection against inflation.
Secondary objectives:
The following are the other ancillary objectives:
Regular return.
Stable income.
Appreciation of capital.
More liquidity.
Safety of investment.
Tax benefits.
FUNCTIONS OF PORTFOLIO MANAGEMENT:
To frame the investment strategy and select an investment mix to
achieve the desired investment objectives.
To provide a balanced portfolio which not only can hedge against the
inflation but also optimise returns with the associated degree of risk
To maximise the after-tax return by investing in various tax saving
investment instruments.
NEED FOR PORTFOLIO MANAGEMENT:
It is a dynamic and flexible concept and
involves regular and systematic analysis, judgement and action. It involves
construction of a portfolio based upon the investors objectives, constraints,
preferences for risk and returns and tax liability.
The portfolio is reviewed and adjusted
from time to time in tune with the market conditions.
The evaluation of portfolio is to be done in
terms of targets set for risk and returns.
12
-
8/6/2019 Portfolio Management_Meenakshi Parashar
13/79
Portfolio construction refers to the allocation of surplus funds in hand
among a variety of financial assets open for investment. The modern theory is
the view that by diversification, risk can be reduced. The investor can make
diversification either by having a large number of shares of companies in
different regions, in different industries or those producing different types of
product lines.
2.3 PHASES IN PORTFOLIO MANAGEMENT
PORTFOLIO MANAGEMENT is a process encompassing many
activities aimed at optimizing investment of funds, each phase is an integral part
of the whole process and the success of portfolio management depends upon the
efficiency in carrying out each phase. Five phases can be identified: -
(1) Security analysis
(2) Portfolio analysis
(3) Portfolio selection
(4) Portfolio revision
(5) Portfolio evaluation
SECURITY ANALYSIS:
It refers to the analysis of trading securities from the point of view of
their prices, return, and risk. All investment is risky and the expected return is
related to risk. The securities available to an investor for investment are
numerous and of various types. The shares of over more than 7000 companies
are listed in stock exchanges of the country. Securities classified into ownership
securities such as equity shares and preference shares and debentures and bonds.
Recently, a number of new securities such as convertible debentures and deep
discount bonds, zero coupon bonds, Flexi bonds, Floating rate bonds Global
depository receipts, Euro currency bonds etc, are issued to raise funds for
their projects by companies from which investor has to choose those securities
the is worthwhile to be included in his investment portfolio. This calls for
detailed analysis of the available securities.
Security analysis is the initial phase of the portfolio management
process. It examines the risk return characteristics of individual securities. A
13
-
8/6/2019 Portfolio Management_Meenakshi Parashar
14/79
basic strategy in securities investment is to buy under priced securities and sell
over priced securities. But the problem is how to identify such securities in other
words mispriced securities. This is what security analysis is all about.
Prices of the securities in the stock market fluctuate daily on the account
of continuous buying and selling. Stock prices move in trends and cycles and are
never stable. An investor in the stock market is interested in buying securities at
low price and selling them at high price so as to get a good return on his
investment made. He therefore tries to analyse the movement of share prices in
the market.Two approaches are commonly used for this purpose.
Fundamental analysis wherein the analyst tries to determine the
intrinsic value of the share based on the current and future earning capacity of
the company.
Technical analysis is an alternative approach to the study of stock price
behaviour.
PORTFOLIO ANALYSIS:
Various groups of securities when held together behave in a different manner
and give interest payments and dividends also, which are different to the
analysis of individual securities. A combination of securities held together will
give a beneficial result if they are grouped in a manner to secure higher return
after taking into consideration the risk element.
There are two approaches in construction of the portfolio of securities.
They are
1. Traditional approach
2. Modern approach
PORTFOLIO SELECTION:
A portfolio that provides the highest returns at a given level of risk is generated.
A portfolio having this characteristic is known as an efficient portfolio. The
inputs from portfolio analysis can be used to identify the set of efficient
portfolios. From this set of efficient portfolios, the optimal portfolio has to be
selected for investment. Harry Markowitz portfolio theory provides both the
conceptual framework and analytical tools for determining the optimal portfolio
in a disciplined and objective way.
14
-
8/6/2019 Portfolio Management_Meenakshi Parashar
15/79
PORTFOLIO REVISION:
The portfolio that is once selected has to be continuously reviewed over
a period of time and then revised depending on the objectives of the investor.
The care taken in construction of portfolio should be extended to the review andrevision of the portfolio. Fluctuations that occur in the equity prices cause
substantial gain or loss to the investors.
The investor should have competence and skill in the revision of the
portfolio. The portfolio management process needs frequent changes in the
composition of stocks and bonds. In securities, the type of securities to be held
should be revised according to the portfolio policy.
PORTFOLIO EVALUATION:
The evaluation of the portfolio (done by portfolio manager) provides a feedback
about the performance to evolve better management strategy. Even though
evaluation of portfolio performance is considered to be the last stage of
investment process, it is a continuous process. There are number of situations in
which an evaluation becomes necessary and important.
RETURN:
The term Return from an investment refers to the benefits from that investment.
In the field of finance in general and security analysis in particular, the term
return is almost invariably associated with a percentage (say, return on
investment of 12%) and not a mere amount (like, profit of Rs. 150). In security
analysis we are primarily concerned with return forms a particular investment
say, a share or a debenture or other financial instrument.
Single period Returns:
It refers to a situation where an investor is concerned with return from a
single period (say, one day, one week, one month or one year).
Multi period Returns:
It refers to situation where more than single period returns are under
consideration. Investor is concern with computing the return per period, over a
longer period.
15
-
8/6/2019 Portfolio Management_Meenakshi Parashar
16/79
Ex-Post Returns:
The measurement of return from the historical data can be referred to Ex-
Post returns. This includes the both current income and capital gains (or losses)
brought about by gains price of the security. The income and capital gains arethen expressed as .a percentage of the initial investment.
Ex-Ante Returns:
The majority of investors tend to emphasize the return they expect from
a security while making investment decision and the expected return of a
security. This enables the investors to look into future prospects from an
investment and the measurement of returns from expectation of benefits is
known as ex-ante returns.
RISK
Risk is uncertainty of the income /capital appreciation or loss or both. All
investments are risky. Higher the risk taken, the higher is the return. But proper
management of risk involves the right choice of investments whose risks are
compensating.
TYPES OF RISKS
Risk consists of two components. They are1. Systematic Risk
2. Unsystematic Risk
1. Systematic Risk:
Systematic risk affects the entire market. It is caused by factors external
to the particular company and uncontrollable by the company. The systematic
risk affects the market as a whole. Factors affecting the systematic risk areEconomic conditions, Political conditions and Sociological changes.
The systematic risk is unavoidable. Systematic risk is further sub-divided into
three types. They are
a) Market Risk:
Jack Clark Francis has defined market risk as that portion of total
variability of return caused by the alternating forces of bull and bear markets.
The forces that affect the stock market can be earthquake, war, political
uncertainty, etc.
16
-
8/6/2019 Portfolio Management_Meenakshi Parashar
17/79
b) Interest Rate Risk:
Interest rate risk is the variation in the single period rates of return caused
by the fluctuations in the market interest rate. It is caused by changes in the
government monetary policy.
c) Purchasing Power Risk:
Variations in the returns are also caused by the loss of purchasing power of
currency. Purchasing power risk is also known as inflation risk.
2. Un-systematic Risk:
Un-systematic risk is unique and peculiar to a firm or an industry. All these
factors affect the un-systematic risk and contribute a portion in the total
variability of the return.
Managerial inefficiency
Technological change in the production process
Availability of raw materials
Changes in the consumer preference
Labour problems
The nature and magnitude of the above-mentioned factors differ from industry toindustry and company to company. They have to be analyzed separately for each
industry and firm. Un-systematic risk can be broadly classified into:
a) Business Risk
b) Financial Risk
Business Risk:
Business risk is that portion of the unsystematic risk caused by theoperating environment of the business. Business risk arises from the inability of
a firm to maintain its competitive edge and growth or stability of the earnings.
The volatility in stock prices due to factors intrinsic to the company itself is
known as Business risk. Business risk is concerned with the difference between
revenue and earnings before interest and tax.
17
-
8/6/2019 Portfolio Management_Meenakshi Parashar
18/79
Business risk can be divided into
i) Internal Business Risk
Internal business risk is associated with the operational efficiency of the
firm. The efficiency of operation is reflected on the companys achievement of
its pre-set goals and the fulfilment of the promises to its investors.
ii) External Business Risk
External business risk is the result of operating conditions imposed on
the firm by circumstances beyond its control. The external factors are social and
regulatory factors, monetary and fiscal policies of the government, business
cycle and the general economic environment within which a firm or an industry
operates.
Financial Risk:
It refers to the variability of the income to the equity capital due to the
debt capital. Financial risk in a company is associated with the capital structure
of the company.
RISK AND EXPECTED RETURN:
There is a positive relationship between the amount of risk and the
amount of expected return i.e., the greater the risk, the larger the expected return
and larger the chances of substantial loss. One of the most difficult problems for
an investor is to estimate the highest level of risk he is able to assume.
18
-
8/6/2019 Portfolio Management_Meenakshi Parashar
19/79
Risk is measured along the horizontal axis and increases from the left to
right.
Expected rate of return is measured on the vertical axis and rises from
bottom to top. The line from 0 to R (f) is called the rate of return or risk less
investments commonly associated with the yield on government securities.
The diagonal line form R (f) to E(r) illustrates the concept of expected
rate of return increasing as level of risk increases.
PORTFOLIO-AGE RELATIONSHIP
Age Portfolio
Below 30 80% in stocks or mutual funds
10% in cash
10% in fixed income
30 to 40 70% in stocks or mutual funds
10% in cash
20% in fixed income
40 to 50 60% in stocks or mutual funds
10% in cash
30% in fixed income
50 to 60 50% in stocks or mutual funds
10% in cash
40% in fixed income
Above 60 40% in stocks or mutual funds
10% in cash
50% in fixed income
These aren't hard and fast allocations, just guidelines to get you thinking about
how your portfolio should look. Your risk profile will give you more equities or
more fixed income depending on your aggressive or conservative bias.
However, it's important to always have some equities in your portfolio no matter
what your age.
2.4 PORTFOLIO THEORIES
19
-
8/6/2019 Portfolio Management_Meenakshi Parashar
20/79
1. MARKOWITZ MODEL:
Dr. Harry M. Markowitz is credited with developing the first modern
portfolio analysis in order to arrange for the optimum allocation of assets with in
portfolio. To reach this objective, Markowitz generated portfolios within areward risk context. It used statistical analysis for the measurement of risk and
mathematical programming for selection of assets in a portfolio in an efficient
manner. Markowitz approach determines for the investor the efficient set of
portfolio through three important variables i.e., Return, Standard deviation and
Co-efficient of correlation.
Markowitz model is also called as a Full Covariance Model. Through
this model, the investor can, with the use of computer, find out the efficient set
of portfolio by finding out the trade off between risk and return, between the
limits of zero and infinity. Most people agree that holding two stocks is less
risky than holding one stock. For example, holding stocks from textile, banking
and electronic companies is better than investing all the money on the textile
companys stock.
Markowitz had given up the single stock portfolio and introduced
diversification. The single stock portfolio would be preferable if the investor is
perfectly certain that his expectation of highest return would turn out to be real.
In the world of uncertainty, most of the risk adverse investors would like to join
Markowitz rather than keeping a single stock, because diversification reduces
the risk.
ASSUMPTIONS:
All investors are rational and risk-averse.
Investors base their investment decisions on the expected return and
standard deviation of returns from a possible investment.
The investor assumes that greater or larger the return that he achieves on
his investments, the higher the risk factor surrounds him. On the contrary when
risks are low the return can also be expected to be low.
All investors have access to the same information at the same time.
Investors have an accurate conception of possible returns, i.e., the
probability beliefs of investors match the true distribution of returns.
There are no taxes or transaction costs.
20
-
8/6/2019 Portfolio Management_Meenakshi Parashar
21/79
All investors are price takers, i.e., their actions do not influence prices.
Any investor can lend and borrow an unlimited amount at the risk free
rate of interest.
All securities can be divided into parcels of any size.
CONSTRUCTION OF THE PORTFOLIO
The purpose of the study is to find out at what percentage of investment should
be invested between two companies, on the basis of risk and return of each
security in comparison. These percentages help in allocating the funds available
for investment based on risky portfolios. In order to know the riskof the stock
or scrip, we use the formula
Standard Deviation = Variance
Variance = (1/n-1) (R-R) 2
Where,
(R-R) 2 = Square of difference between sample and mean.
n = Number of samples observed.
After that, we need to compare the stocks or scrips of two companies with each
other by using the correlation co-efficient as given below.
Covariance (COV ab) = 1/n (RA-RA) (RB-RB)
nab = Correlation Coefficient = COV ab / a * b
Where,
(RA-RA) (RB-RB) = Combined deviations of A&B
a * b = Product of standard deviation of A&B
COV ab = Covariance between A&B
n = Number of observations
The next step would be the construction of the optimal portfolio on the basis of
what percentage of investment should be invested when two securities and
21
-
8/6/2019 Portfolio Management_Meenakshi Parashar
22/79
stocks are combined i.e. calculation of two assets portfolio weight by using
minimum variance equation, which is given below.
Wa = b [b-(nab*a)]
a2 + b2 - 2nab*a*b
Wb = 1 Wa
Where,
Wa = Weight of security A
Wb = Weight of security B
a = standard deviation of A
b = standard deviation of B
nab= correlation co-efficient between A&B
The final step is to calculate the portfolio risk(combined risk)
RP = a2*Wa2 + b2*Wb2 + 2nab*a*b*Wa*Wb
Where,
Wa = Proportion of investment in security A
Wb = Proportion of investment in security B
a = Standard deviation of security A
b = Standard deviation of security B
nab = Correlation co-efficient between securities A & B
Rp = Portfolio risk
2. THE SHARPES INDEX MODEL/SINGLE INDEX
MODEL:
William Sharpe has suggested a simplified method of diversification of
portfolios. He has made the estimates of the expected return and variance ofindexes, which are related to economic activity. Sharpes Theory assumes
22
-
8/6/2019 Portfolio Management_Meenakshi Parashar
23/79
that securities returns are related to each other only through common
relationships with basic underlying factor i.e. market return index. Individual
securities return is determined solely by random factors and on its
relationship to this underlying factor with the following formula:
Ri = i+i Rm+ei
Where Ri = expected return on security i
i = intercept of the straight line or alpha co-efficient
i = slope of straight line or beta co-efficient
Rm = the rate of return on market index
ei = error term with a mean of zero & a std.dev., which is a
constant
3. CAPITAL ASSET PRICING MODEL (CAPM):
Markowitz, William Sharpe, John Lintner and Jan Mossin provided the
basic structure of CAPM. William F. Sharpe emphasised the risk factor in
portfolio theory is a combination of two risks i.e., systematic risk and
unsystematic risk. The systematic risk attached to each of the security is
same irrespective of any number of securities in the portfolio. The total risk
of portfolio is reduced, with increase in number of stocks, as a result of
decrease in the unsystematic risk distributed over number of stocks in the
portfolio. Therefore, the relationship between an assets return and its
systematic risk can be expressed by the CAPM, which is also called the
Security Market Line.
E (Ri) = Rf+ (Rm Rf)
Where,
E (Ri) = Expected return on any individual security (or portfolio)
Rf = Risk free rate of return
= Market sensitivity index of individual security (or portfolio)
Rm = Expected rate of return on the market portfolio
Rm- Rf= Market premium or risk premium
4. ARBITRAGE PRICING THEORY
23
-
8/6/2019 Portfolio Management_Meenakshi Parashar
24/79
According to this theory the returns of the securities are influenced
by a number of macroeconomic factors such as growth rate of industrial
production rate of inflation, spread between low-grade and high-grade
bonds.
The foundation for APT is the law of one price. The law of one price
states that two identical goods should sell at the same price. If they sold at
different prices anyone could engage in arbitrage by simultaneously buying
at low prices and selling at the high prices and make a risk less profit.
Arbitrage also applies to financial assets. If two financial assets have the
same risk, they should have the same expected return. If they do not have the
same expected return, a riskless profit could be earned by simultaneously
selling the low return asset and buying the high-return asset. The arbitrage
pricing line for one risk factor can be written as:
E (ri) = 0 + ii
Where,
E (ri) = The expected return on the security i
0 = The return on the zero beta portfolios
i = The factor risk premium
i = The sensitivity of the asset i to the risk factor
Two factor Arbitrage pricing model:
E (rp) = 0 + 11 +22
Where,
2 = The risk premium associated with risk factor2
2 = The factor beta coefficient for factor 2, and the factors 1 &2 are
uncorrelated
3.1 INDUSTRY PROFILE:
FINANCIAL SERVICES
24
-
8/6/2019 Portfolio Management_Meenakshi Parashar
25/79
Financial services refer to services provided by the finance industry. The
finance industry encompasses a broad range of organizations that deal with the
management of money. Among these organizations are banks, credit card
companies, insurance companies, consumer finance companies, stock
brokerages, investment funds and some government sponsored enterprises.
The financial services sector contributed 15 per cent to India's GDP in
FY09, and is the second-largest component after trade, hotels, transport and
communication all combined together, as per the Banking & Finance Journal,
released by an industry body in August 2010.
Stock markets: Market capitalization of India as a proportion of world
market cap has risen to a record high. According to data sourced from
Bloomberg, the country's market capitalization as a proportion of the world
market cap is currently 3.34 per cent. India's current market-cap is US$ 1.55
trillion as compared with world market-cap of US$ 46.5 trillion. This is higher
than 3.12 per cent share India enjoyed at the market peak of January 2008.
As analyzed by Venture Intelligence, private equity firms obtained exit
routes for their investments in a record 121 companies during 2010, including 24
via IPOs. (2009 had witnessed 66 liquidity events including 7 via IPOs).
Insurance: The Indian Life Insurance industry is one on the strongest
growing sectors in the country. Currently a US$ 41-billion industry, India is the
fifth largest life insurance market and growing at a rapid pace of 32-34 per cent
annually. Currently, there are 22 life insurance companies operating in India,
according to the Life Insurance Council (LIC).
Banking services: Significantly, on a year-on-year basis, bank credit
grew by 24.4 per cent in 2010 as against RBIs projections of 20 per cent for the
entire fiscal 2010-11.
Investment management: Investment management is the professional
management of various securities (shares, bonds and other securities) and assets
in order to meet specified investment goals for the benefit of the investors.
Investors may be institutions or private investors.
Government-sponsored enterprises (GSEs): The GSEs are group of
financial services corporations created by the United States Congress. Their
function is to enhance the flow of credit to targeted sectors of the economy and to
25
-
8/6/2019 Portfolio Management_Meenakshi Parashar
26/79
make those segments of the capital market more efficient and transparent. The
desired effect of the GSEs is to enhance the availability and reduce the cost of
credit to the targeted borrowing sectors: agriculture, home finance and education
Scope of financial services:
The scope of financial services in India has grown manifold in recent years, and
consumers have a much wider choice in terms of savings and investments. There is a
broad range of brokerage firms, investment services, financial consulting firms, foreign
and private banks, global insurance companies, taxation service providers, home loan
and car equity firms and other banking companies now expanding their operation in the
country. For young candidates there are bright career opportunities in the fields of
financial advisory services, insurance and banking services, investment management,
financial analysis, stock market consultants, brokering agents, financial planners and
economists.
History of financial service sector:
The major events that have shaped the modern finance service sector are:
The Great Depression (1929): The Great Depression originated in the US with
the Wall Street crash in October 1929. The effects of the depression spread
across the world, especially in the heavy industries. Capital requirements
regulation, financial service industry oversights and the insurance of deposit
accounts sprang out of this tumultuous period.
Black Monday (1987): On October 19, the stock markets across the world
witnessed a huge crash. This was the largest one day decline in the stock market
history. The crash started in Hong Kong, spreading to Europe and the US.
Analysts blamed computer trading systems for magnifying the losses.
Asian Financial Crisis (1990): The Asian Financial Crisis was triggered by the
collapse of Thai baht as the government of Thailand decided to float the national
currency. The nation had a huge foreign debt at that point, driving it to the verge
of bankruptcy. The crisis rippled across the whole of Southeast Asia and has led
to many emerging market countries to reduce debts and build up foreign
currency reserves.
26
-
8/6/2019 Portfolio Management_Meenakshi Parashar
27/79
Stock Market Downturn (2002): Stock exchanges around the world witnessed
a significant decline in March 2002. It was attributed to the bursting of the Dot-
com Bubble, which saw major Internet companies going bankrupt.
Sub-prime Crisis (2007): Credit markets faced major crunch due to large scale
default on loans. It led to the Financial Crisis of 2008 2009 and resulted in the
bankruptcy, fire-sale acquisition and government bailouts of finance service
industry giants such as Lehman Brothers, Bear Stearns, AIG, Fannie Mae,
Freddie Mac, Merrill Lynch, Wachovia, Northern Rock, Lloyds TSB, HBOS,
RBS and the entire banking system of Iceland. The world economy can expect
reduced growth rates and tighter regulations as a result of this crisis.
Growth of financial services sector:
In the post-economic reform and liberalization era, the banking and financial services
sector has witnessed rapid growth in India. As of 2007, the value of banking assets in
India was growing at a compounded annual growth rate of 24%. A large number of
mutual funds, venture capital funds and private equity funds have mushroomed in India
with substantial foreign investments in this sector. Almost all of the world class
financial services institutions and foreign banks have established their presence in India.
The growth of financial sector in India at present is nearly 8.5% per year. The rise in the
growth rate suggests the growth of the economy. The financial policies and the
monetary policies are able to sustain a stable growth rate. The reforms pertaining to the
monetary policies and the macroeconomic policies over the last few years have
influenced the Indian economy to the core. The development of the system pertaining to
the financial sector was the key to the growth of the same. With the opening of the
financial market variety of products and services were introduced to suit the need of the
customer. The Reserve Bank of India played a dynamic role in the growth of the
financial sector of India.
The financial services sector contributed 15% to Indias GDP in FY09, and is the
second-largest component after trade, hotels, transport and communication all combined
together, as per the Banking & Finance Journal, released by an industry body in August
2010.
3.2 COMPANY PROFILE:
27
-
8/6/2019 Portfolio Management_Meenakshi Parashar
28/79
INDIA INFOLINE LIMITED (IIFL)
India Infoline Ltd. was founded in 1995 by a group of professional with
impeccable educational qualifications and professional credentials. Its
institutional investors include Intel Capital (world's leading technologycompany), CDC (promoted by UK government), ICICI, TDA and Reeshanar.
India Infoline group offers the entire gamut of investment products
including stock broking, Commodities broking, Mutual Funds, Fixed Deposits,
GOI Relief bonds, Post office savings and life Insurance. India Infoline is the
leading corporate agent of ICICI Prudential Life Insurance Co. Ltd., which is
India' No. 1 Private sector life insurance company.
www.indiainfoline.com has been the only India Website to have been
listed by none other than Forbes in its 'Best of the Web' survey of global
website, not just once but three times in a row and counting... A must read for
investors in south Asia is how they choose to describe India Infoline. It has
been rated as No. l the category of Business News in Asia by Alexia rating.
Stock and Commodities broking is offered under the trade name 5paisa.
India Infoline Commodities Pvt. Ltd., a wholly owned subsidiary of India
Infoline Ltd., holds membership of MCX and NCDEX
Main Objects of the Company
Main objects as contained in its Memorandum of Association are:
1. To engage or undertake software and internet based services, data
processing IT enabled services, software development services, selling
advertisement space on the site, web consulting and related services including
web designing and web maintenance, software product development and
marketing, software supply services, computer consultancy services, E-
Commerce of all types including electronic financial intermediation business
and E-broking, market research, business and management consultancy.
2. To undertake, conduct, study, carry on, help, promote any kind of
research, probe, investigation, survey, developmental work on economy,
industries, corporate business houses, agricultural and mineral, financial
institutions, foreign financial institutions, capital market on matters related to
investment decisions primary equity market, secondary equity market,
28
-
8/6/2019 Portfolio Management_Meenakshi Parashar
29/79
debentures, bond, ventures, capital funding proposals, competitive analysis,
preparations of corporate / industry profile etc. and trade / invest in researched
securities.
VISION STATEMENT OF THE COMPANY
Our vision is to be the most respected company in the financial services
space in India.
MISSION
To become a full-fledged financial services company known for its quality of
advice personalised services and cutting edge technology.
Products: the India Infoline Pvt. Ltd. offers the following products
E-broking
Distribution
Insurance
PMS
Mortgages
a. E-BrokingIt refers to Electronic Broking of Equities, Derivatives and Commodities under
the brand name of 5paisa
1. Equities
2. Derivatives
3. Commodities
b. Distribution
1. Mutual funds
2. Govt. of India bonds.
3. Fixed deposits
c. Insurance
1. Life insurance policies
2. General Insurance
3. Health Insurance Policies.
THE CORPORATE STRUCTURE
29
-
8/6/2019 Portfolio Management_Meenakshi Parashar
30/79
The India Infoline group comprises the holding company, India Infoline
Ltd, which has 5 wholly-owned subsidiaries, engaged in distinct yet
complementary businesses which together offer a whole bouquet of products
and services to make your money grow.
The corporate structure has evolved to comply with oddities of the
regulatory framework but still beautifully help attain synergy and allow
flexibility to adapt to dynamics of different businesses.
The parent company, India Infoline Ltd owns and manages the web
properties www.Indiainfoline.com and www.5paisa.com. It also undertakes
research Customized and off-the-shelf. Indian Infoline Securities Pvt. Ltd. is a
member of BSE, NSE and DP with NSDL. Its business encompasses securities
broking Portfolio Management services.
India Infoline.com Distribution Co. Ltd., Mobilizes Mutual Funds and
other personal investment products such as bonds, fixed deposits, etc.
India Infoline Insurance Services Ltd. is the corporate agent of ICICI Prudential
Life Insurance, engaged in selling Life Insurance, General Insurance and Health
Insurance products.
India Infoline Commodities Pvt. Ltd. is a registered commodities broker
MCX and offers futures trading in commodities. India Infoline Investment
Services Pvt. Ltd. is proving margin funding and NBFC services to the
customers of India Infoline Ltd.
Management of India Infoline Ltd.:
India Infoline is a professionally managed Company. The promoters
who run the company/s day-to-day affairs as executive directors have
impeccable academic professional track records.
Nirmal Jain, chairman and Managing Director, is a Chartered
Accountant, (All India Rank 2); Cost Account, (All India Rank l) and has a post-
graduate management degree from IIM Ahmedabad. He had a successful career
with Hindustan Lever, where he inter alia handled Commodities trading and
export business. Later he was CEO of an equity research organization.
R. Venkataraman, Director, is armed with a post- graduate management
degree from IIM Bangalore, and an Electronics Engineering degree from IIT,
Kharagpur. He spent eight fruitful years in equity research sales and private
30
-
8/6/2019 Portfolio Management_Meenakshi Parashar
31/79
equity with the cream of financial houses such as ICICI group, Barclays de
Zoette and G.E. Capital
The non-executive directors on the board bring a wealth of experience
and expertise.
Satpal khattar - Reeshanar investments, Singapore. The key management team
comprises seasoned and qualified professionals.
SWOT ANALYSIS:
31
-
8/6/2019 Portfolio Management_Meenakshi Parashar
32/79
STRENGTHS:
1. India Infoline is a one-stop financial services shop, most respected for
quality of advice, personalised service and cutting-edge technology.
2. Multi-channel delivery model, making it among the select few to offer
online as well as offline trading facilities.
3. Strong distribution network of 177 branches across 19 states, which
provided it with an unmatched reach within its segment.
4. The company provides a prudent mix of proprietary and outsourced
technologies, which facilitate business growth without a corresponding
increase in costs.
5. The company provides funding facilities to clients.
WEAKNESS:
1. High targets for the financial advisors and sales department due to
increase in competition.
2. Many competitors in the market provide similar services with slightdifference in premium and offerings.
3. High brokerage charges for low category company shares.
4. Low customer retention rate.
OPPORTUNITIES:
32
-
8/6/2019 Portfolio Management_Meenakshi Parashar
33/79
1. Huge market is still untapped. The service sector is growing rapidly and
there are many opportunities for development.
2. Company has opportunities in research and development and other new
areas of financial services.
3. It can focus on analysis of prices, so that it can forecast price movements
and make the customers aware of it.
THREATS:
1. Entry of new players in the market due to huge market potential.
2. Entry of many other competitors with equally strong experience and financial
strength is making the competition difficult and saturating the urban markets.
3. The market is skewed primarily to the metros with Mumbai,
Ahmadabad, and New Delhi accounting for major bulk of the trading.
4. Brand related - challenge being to maintain high decibel and impactful
communication on a sustained basis.
CALCULATION OF AVERAGE RETURN OF COMPANIES:
33
-
8/6/2019 Portfolio Management_Meenakshi Parashar
34/79
Return(R) = Dividend + (Closing Price-Opening price) * 100
Opening Price
Average Return = R/N
1. INFOSYS TECHNOLOGIES LTD:
Year Dividend
(D) (Rs)
Opening
Price
(P0)
(Rs)
Closing
Price (P1)
(Rs)
(P1-P0) (D+(P1-
P0))/P0*100
2005-2006 7.5 2099 2996.75 897.75 43.13
2006-2007 11.5 3000 2240.5 -759.5 -24.93
2007-2008 13.3 2242 1768.4 -473.6 -20.53
2008-2009 23.5 1758 1117.85 -640.15 -35.08
2009-2010 25 1125 2605.25 1480.25 133.8
TOTAL RETURNS 96.39
Returns
2005-06 = (07.50+ (2996.75-2099)) /2099 * 100 = 43.13
2006-07 = (11.50+ (2240.50-3000)) /3000 * 100 = -24.93
2007-08 = (13.25+ (1768.40-2242)) /2242 * 100 = -20.53
2008-09 = (23.50+ (1117.85-1758)) /1758 * 100 = -35.08
2009-10 = (25.00+ (2605.25-1125)) /1125 * 100 = 133.80
Average Return = 96.39/5 = 19.28
2. RELIANCE INDUSTRIES LTD.
Year
34
-
8/6/2019 Portfolio Management_Meenakshi Parashar
35/79
Dividend
(D) (Rs)
Open
Price
(P0)
(Rs)
Closing
Price (P1)
(Rs)
(P1-P0) (D+(P1-
P0))/P0*100
2005-2006 10 520.05 889.65 369.6 72.99
2006-2007 11 893.45 1,270.35 376.9 43.41
2007-2008 13 1,252.5
5
2,881.05 1628.5 131.05
2008-2009 13 2,950.0
0
1,230.25 -1719.8 -57.86
2009-2010 7 1,240.0
5
1,089.40 -150.65 -11.58
TOTAL RETURNS 178.01
Returns
2005-06 = (10.00+ (889.65-520.05)) /520.05 * 100 = 72.99
2006-07 = (11.00+ (1270.35-893.45)) /893.45 * 100 = 43.41
2007-08 = (13.00+ (2881.05-1252.55)) /1252.55 * 100 = 131.05
2008-09 = (13.00+ (1230.25-2950.00)) /2950.00 * 100 = -57.86
2009-10 = (07.00+ (1089.40-1240.05)) /1240.05 * 100 = -11.58
Average Return = 178.01/5 = 35.602
3. TATA STEEL LTD:
35
-
8/6/2019 Portfolio Management_Meenakshi Parashar
36/79
Year Dividend
(D) (Rs)
Open
Price
(P0)(Rs)
Closing
Price (P1)
(Rs)
(P1-P0) (D+(P1-
P0))/P0*10
0
2005-2006 10 520.05 889.65 369.6 72.99
2006-2007 11 893.45 1,270.35 376.9 43.41
2007-2008 13 1,252.5
5
2,881.05 1628.5 131.05
2008-2009 13 2,950.0
0
1,230.25 -1719.8 -57.86
2009-2010 7 1,240.0
5
1,089.40 -150.65 -11.58
TOTAL RETURNS 178.01
Returns
2005-06 = (13.00+ (380.30-391.00)) /391.00 * 100 = 0.59
2006-07 = (15.50+ (482.30-382.00)) /382.00 * 100 = 32.89
2007-08 = (16.00+ (934.80-484.00)) /484.00 * 100 = 96.38
2008-09 = (16.00+ (216.85-938.00)) /938.00 * 100 = -75.18
2009-10 = (08.00+ (617.60-218.40)) /218.40 * 100 = 186.79
Average Return = 241.47/5 = 48.29
36
-
8/6/2019 Portfolio Management_Meenakshi Parashar
37/79
4. ULTRATECH CEMENT LTD:
Year
Dividend
(D) (Rs)
Opening
Price(P0)
(Rs)
ClosingPrice (P1)
(Rs) (P1-P0)
(D+(P1-
P0))/P0*10
0
2005-2006 1.75 342 427.15 85.15 25.41
2006-2007 4 434.5 1096.9 662.4 153.55
2007-2008 5 1108 1014.5 -93.5 -7.99
2008-2009 5 1040 383.1 -656.9 -62.68
2009-2010 6 389.25 915.1 525.85 136.63
TOTAL RETURNS 244.92
Returns
2005-06 = (1.75+ (427.15-342.00)) /342.00 * 100 = 25.41
2006-07 = (4.00+ (1096.90-434.50)) /434.50 * 100 = 153.55
2007-08 = (5.00+ (1014.50-1108.00)) /1108.00 * 100 = -7.99
2008-09 = (5.00+ (383.10-1040.00)) /1040.00 * 100 = -62.68
2009-10 = (6.00+ (915.10-389.25)) /389.25 * 100 = 136.63
Average Return = 244.92/5 = 48.98
5. ICICI BANK:
37
-
8/6/2019 Portfolio Management_Meenakshi Parashar
38/79
Year
Dividend
(D) (Rs)
Opening
Price
(P0)
(Rs)
Closing
Price (P1)
(Rs) (P1-P0)
(D+(P1-
P0))/P0*100
2005-2006 8.5 374.85 584.7 209.85 58.25
2006-2007 10 586.25 890.4 304.15 53.59
2007-2008 11 889 1232.4 343.4 39.86
2008-2009 11 1235 448.35 -786.65 -62.81
2009-2010 12 455 875.7 420.7 95.1
TOTAL RETURNS 183.99
Returns
2005-06 = (08.50+ (584.7-374.85)) /374.85 * 100 = 58.25
2006-07 = (10.00+ (890.4-586.25)) /586.25 * 100 = 53.59
2007-08 = (11.00+ (1232.4-889)) /889 * 100 = 39.86
2008-09 = (11.00+ (448.35-1235)) /1235 * 100 = -62.81
2009-10 = (12.00+ (875.7-455)) /455 * 100 = 95.10
Average Return = 183.99/5 = 36.8
6. ITC LTD:
Year (P1-P0)
38
-
8/6/2019 Portfolio Management_Meenakshi Parashar
39/79
Dividend
(D) (Rs)
Opening
Price
(P0)
(Rs)
Closing
Price (P1)
(Rs)
(D+(P1-
P0))/P0*10
0
2005-2006 2.65 1324.5 142 -1182.5 -89.08
2006-2007 3.1 142.5 175.95 33.45 25.65
2007-2008 3.5 177.9 210.3 32.4 20.18
2008-2009 3.7 212 171.45 -40.55 -17.38
2009-2010 10 172.5 250.85 78.35 51.22
TOTAL RETURNS -9.41
Returns
2005-06 = (02.65+ (142.00-1324.50)) /1324.50 * 100 = -89.08
2006-07 = (03.10+ (175.95-142.50)) /142.50 * 100 = 25.65
2007-08 = (03.50+ (210.30-177.90)) /177.90 * 100 = 20.18
2008-09 = (03.70+ (171.45-212.00)) /212.00 * 100 = -17.38
2009-10 = (10.00+ (250.85-172.50)) /172.50 * 100 = 51.22
Average Return = -9.41/5 = -1.88
39
-
8/6/2019 Portfolio Management_Meenakshi Parashar
40/79
AVERAGE RETURNS
COMPANY
AVERAGE
RETURNINFOSYS TECHNOLOGIES (IT) 19.28
RELIANCE INDUSTRIES (REFINARIES) 35.602
TATA STEEL (STEEL) 48.29
ULTRATECH (CEMENTS) 48.98
ICICI (BANKING) 36.8
ITC (Cigarettes, tobacco products) -1.88
INTERPRETATION:
From the above graph, we understand that by investing in diversified securities,
we can diversify the risk of losses. Tata Steel (48.29) and Ultratech cement
(48.98) are earning higher returns, and other securities are earning medium and
negative returns (ITC Ltd).
CALCULATION OF STANDARD DEVIATION:
40
-
8/6/2019 Portfolio Management_Meenakshi Parashar
41/79
Variance = 1/n-1 (R-R) 2
Standard Deviation = Variance
1. INFOSYS TECHNOLOGIES LTD:
Year Return (R)
Avg. Return
(R) (R-R) (R-R) 2
2005-2006 43.13 19.28 23.85 568.82
2006-2007 -24.93 19.28 -44.21 1954.52
2007-2008 -20.53 19.28 -39.81 1584.84
2008-2009 -35.08 19.28 -54.36 3955.01
2009-2010 133.80 19.28 114.52 13114.83
TOTAL = (R-R) 2 20178.02
Variance = 1/n-1 (R-R)2
= 1/4 (20178.02) = 5044.5
Standard Deviation = Variance = 5044.5 = 71.02
2. RELIANCE INDIA LTD:
Year
Retur
n (R)
Avg. Return
(R) (R-R) (R-R)2
41
-
8/6/2019 Portfolio Management_Meenakshi Parashar
42/79
2005-2006 72.99 35.6 37.39 1398.01
2006-2007 43.41 35.6 7.81 60.99
2007-2008 131.05 35.6 95.45 9110.70
2008-2009 -57.86 35.6 -93.46 8734.77
2009-2010 -11.58 35.6 -47.18 2225.95
TOTAL = (R-R)2 21530.42
Variance = 1/n-1 (R-R) 2 = 1/4 (21530.42) = 5382.61
Standard Deviation = Variance = 5382.61 = 73.37
3. TATA STEEL:
Year
Retur
n (R)
Avg. Return
(R) (R-R) (R-R) 2
2005-2006 0.59 48.29 -47.7 2275.29
2006-2007 32.89 48.29 -15.4 237.162007-2008 96.38 48.29 48.09 2312.65
42
-
8/6/2019 Portfolio Management_Meenakshi Parashar
43/79
2008-2009 -75.18 48.29 -123.47 15244.84
2009-2010186.79 48.29 138.5 19182.25
TOTAL = (R-R) 2 39252.19
Variance = 1/n-1 (R-R) 2 = 1/4 (39252.19) = 9813.05
Standard Deviation = Variance = 9813.05 = 99.06
4. ULTRATECH CEMENT:
Year Return (R)
Avg. Return
(R) (R-R) (R-R) 2
2005-2006 25.41 48.98 -23.57 555.55
2006-2007 153.55 48.98 104.57 10934.88
2007-2008 -7.99 48.98 -56.97 3245.58
43
-
8/6/2019 Portfolio Management_Meenakshi Parashar
44/79
2008-2009 -62.68 48.98 -111.66 12467.96
2009-2010 136.63 48.98 87.65 7682.52
TOTAL = (R-R) 2 34886.49
Variance = 1/n-1 (R-R) 2 = 1/4 (34886.49) = 8721.62
Standard Deviation = Variance = 8721.62= 93.39
5. ICICI BANK:
Year Return (R)
Avg. Return
(R) (R-R) (R-R)2
2005-2006 58.25 36.8 21.45 460.1
2006-2007 53.59 36.8 16.79 281.9
2007-2008 39.86 36.8 3.06 93.64
2008-2009 -62.81 36.8 -99.61 9922.15
2009-2010 95.1 36.8 58.3 3398.89
44
-
8/6/2019 Portfolio Management_Meenakshi Parashar
45/79
TOTAL = (R-R) 2 14156.68
Variance = 1/n-1 (R-R) 2 = 1/4 (14156.68) = 3539.17
Standard Deviation = Variance = 3539.17= 59.49
6. ITC LTD:
Year Return (R)
Avg. Return
(R) (R-R) (R-R) 2
2005-2006 -89.08 -1.88 -87.2 7603.84
2006-2007 25.65 -1.88 27.53 757.9
2007-2008 20.18 -1.88 22.06 486.64
2008-2009 -17.38 -1.88 -15.5 240.25
2009-2010 51.22 -1.88 53.1 2819.61
TOTAL = (R-R) 2 11908.24
45
-
8/6/2019 Portfolio Management_Meenakshi Parashar
46/79
Variance = 1/n-1 (R-R) 2 = 1/4 (11908.24) = 2977.06
Standard Deviation = Variance = 2977.06= 54.56
AVERAGE RISK
COMPANY RISK
INFOSYS TECHNOLOGIES 71.02
RELIANCE INDUSTRIES 73.37
TATA STEEL 99.06
ULTRATECH 93.39
ICICI BANK 59.49
ITC LTD 54.56
46
-
8/6/2019 Portfolio Management_Meenakshi Parashar
47/79
INTERPRETATION:
From the above graph, we can understand that Tata Steel & Ultratech Cement
has highest standard deviation and hence high risk; where as other securities
have average risk. By investing in diversified portfolio, we can diversify the
risk.
CALCULATION OF CORRELATION:
Covariance (COV ab) = 1/n (RA-RA) (RB-RB)
Correlation Coefficient = COV ab / a * b
1. INFOSYS AND OTHER COMPANIES:
(i) INFOSYS (RA) & RELIANCE INDUSTRIES (RB):
47
-
8/6/2019 Portfolio Management_Meenakshi Parashar
48/79
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 23.85 37.39 891.75
2006-2007 -44.21 7.81 -345.28
2007-2008 -39.81 95.45 -3799.862008-2009 -54.36 -93.46 5080.49
2009-2010 114.52 -47.18 -5403.05
TOTAL -3575.95
Covariance (COV ab) = 1/5 (-3575.95) = -715.19
a = 71.02 ; b = 73.37
Correlation Coefficient = COV ab / a * b
= -715.19/(71.02)(73.37) = -0.14
(ii) INFOSYS (RA) & TATA STEEL (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-
2006
23.85 -47.7 -1137.65
2006-
2007
-44.21 -15.4 680.83
2007-
2008
-39.81 48.09 -1914.46
2008-
2009
-54.36 -123.47 6711.83
2009-
2010
114.52 138.5 15861.02
TOTAL 20201.57
Covariance (COV ab) = 1/5 (20201.57) = 4040.31
48
-
8/6/2019 Portfolio Management_Meenakshi Parashar
49/79
a = 71.02 ; b = 99.06
Correlation Coefficient = COV ab / a * b = 4040.31/(71.02)(99.06) = 0.57
(iii) INFOSYS (RA) & ULTRATECH CEMENT (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-
2006
23.85 -23.57 -562.14
2006-
2007
-44.21 104.57 -4623.04
2007-
2008
-39.81 -56.97 2267.98
2008-
2009
-54.36 -111.66 6069.84
2009-
2010
114.52 87.65 10037.68
TOTAL 13190.32
Covariance (COV ab) = 1/5 (13190.32) = 2638.06
a = 71.02 ; b = 93.39
Correlation Coefficient = COV ab / a * b = 2638.06 / (71.02)(93.39) = 0.4
(iv) INFOSYS (RA) & ICICI BANK (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 23.85 21.45 511.58
2006-2007 -44.21 16.79 -742.29
2007-2008 -39.81 3.06 -121.82
2008-2009 -54.36 -99.61 5414.8
2009-2010 114.52 58.3 6676.52
TOTAL 11738.79
Covariance (COV ab) = 1/5 (11738.79) = 2347.76
49
-
8/6/2019 Portfolio Management_Meenakshi Parashar
50/79
a = 71.02; b = 59.49
Correlation Coefficient = COV ab / a * b = 2347.76/(71.02)(59.49) = 0.56
(v) INFOSYS (RA) & ITC LTD (RB_:
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 23.85 -87.2 -2079.72
2006-2007 -44.21 27.53 -1217.10
2007-2008 -39.81 22.06 -878.21
2008-2009 -54.36 -15.5 842.58
2009-2010 114.52 53.1 6081.01TOTAL 2748.56
Covariance (COV ab) = 1/5 (2748.56) = 549.71
a = 71.02; b = 54.56
Correlation Coefficient = COV ab / a * b = 549.71/(71.02)(54.56) = 0.14
2. RELIANCE INDUSTRIES AND OTHER COMPANIES :
(i) RELIANCE (RA) & TATA STEEL (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 37.39 -47.7 -1783.5
2006-2007 7.81 -15.4 -120.27
2007-2008 95.45 48.09 4590.19
2008-2009 -93.46 -123.47 11539.51
2009-2010 -47.18 138.5 -6534.43
TOTAL 7692.5
Covariance (COV ab) = 1/5 (7692.5) = 1538.5
a = 73.37 ; b = 99.06
Correlation Coefficient = COV ab / a * b = 1538.5/(73.37)(99.06)= 0.2
50
-
8/6/2019 Portfolio Management_Meenakshi Parashar
51/79
(ii) RIL (RA) & ULTRATECH CEMENT (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)2005-2006 37.39 -23.57 -881.28
2006-2007 7.81 104.57 816.69
2007-2008 95.45 -56.97 -5437.79
2008-2009 -93.46 -111.66 10435.74
2009-2010 -47.18 87.65 -4135.33
TOTAL 798.03
Covariance (COV ab) = 1/5 (798.03) = 159.61
a = 73.37 ; b = 93.39
Correlation Coefficient = COV ab / a * b = 159.61/(73.37)(93.39) = 0.02
(iii) RIL (RA) & ICICI BANK (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 37.39 21.45 802.022006-2007 7.81 16.79 131.13
2007-2008 95.45 3.06 292.08
2008-2009 -93.46 -99.61 9309.55
2009-2010 -47.18 58.3 -2750.59
TOTAL 13285.37
Covariance (COV ab) = 1/5(13285.37) = 2657.07
a = 73.37 ; b = 59.49
Correlation Coefficient = COV ab / a * b = 2657.07/(73.37)(59.49) = 0.61
(iv) RIL (RA) & ITC LTD (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 37.39 -87.2 -3260.412006-2007 7.81 27.53 215.01
51
-
8/6/2019 Portfolio Management_Meenakshi Parashar
52/79
2007-2008 95.45 22.06 2105.63
2008-2009 -93.46 -15.5 1448.63
2009-2010 -47.18 53.1 -2505.26
TOTAL -1996.4
Covariance (COV ab) = 1/5 (-1996.4) = -399.28
a = 73.37 ; b = 54.56
Correlation Coefficient = COV ab / a * b = -1996.4/(73.37)(54.56) = -0.1
3. TATA STEEL & OTHER COMPANIES:
(i) TATA STEEL (RA) & ULTRATECH (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 -47.7 -23.57 1124.3
2006-2007 -15.4 104.57 -1610.38
2007-2008 48.09 -56.97 -2739.69
2008-2009 -123.47 -111.66 13786.66
2009-2010 138.5 87.65 12139.53
TOTAL 22700.42
Covariance (COV ab) = 1/5 (22700.42) = 4540.08
a = 99.06 ; b = 93.39
Correlation Coefficient = COV ab / a * b = 4540.08/(99.06)(93.39) = 0.49
(ii) TATA STEEL (RA) & ICICI BANK (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 -47.7 21.45 -1023.2
2006-2007 -15.4 16.79 -258.57
2007-2008 48.09 3.06 147.16
2008-2009 -123.47 -99.61 12298.85
2009-2010 138.5 58.3 8074.55
TOTAL 19238.79
Covariance (COV ab) = 1/5 (19238.79) = 3847.46
52
-
8/6/2019 Portfolio Management_Meenakshi Parashar
53/79
a = 99.06; b = 59.49
Correlation Coefficient = COV ab / a * b = 3847.46/(99.06)(59.49) = 0.65
(iii) TATA STEEL (RA) & ITC LTD (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 -47.7 -87.2 4159.44
2006-2007 -15.4 27.53 -423.96
2007-2008 48.09 22.06 1060.862008-2009 -123.47 -15.5 1913.78
2009-2010 138.5 53.1 7354.35
TOTAL 14912.35
Covariance (COV ab) = 1/5 (14912.35) = 2982.48
a = 99.06; b = 54.56
Correlation Coefficient = COV ab / a * b = 2982.48/(99.06)(54.56) = 0.55
4. ULTRATECH CEMENT & OTHER COMPANIES:
(i) ULTRATECH (RA) & ICICI BANK (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 -23.57 21.45 -505.58
2006-2007 104.57 16.79 1755.73
2007-2008 -56.97 3.06 -174.33
2008-2009 -111.66 -99.61 11122.452009-2010 87.65 58.3 5109.99
TOTAL 17308.26
Covariance (COV ab) = 1/5 (17308.26) = 3461.65
a = 93.39 ; b = 59.49
Correlation Coefficient = COV ab / a * b = 3461.65/(93.39)(59.49) = 0.62
53
-
8/6/2019 Portfolio Management_Meenakshi Parashar
54/79
(ii) ULTRATECH (RA) & ITC LTD (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)2005-2006 -23.57 -87.2 2055.3
2006-2007 104.57 27.53 2878.8
2007-2008 -56.97 22.06 -1256.76
2008-2009 -111.66 -15.5 1730.73
2009-2010 87.65 53.1 4654.22
TOTAL 10062.29
Covariance (COV ab) = 1/5 (10062.29) = 2012.46
a = 93.39 ; b = 54.56
Correlation Coefficient = COV ab / a * b = 2012.46/(93.39)(54.56) = 0.4
5. ICICI BANK & OTHER COMPANIES:
(i) ICICI BANK (RA) & ITC LTD (RB):
YEAR (RA-RA) (RB-RB) (RA-RA) (RB-RB)
2005-2006 21.45 -87.2 -1870.442006-2007 16.79 27.53 462.23
2007-2008 3.06 22.06 67.50
2008-2009 -99.61 -15.5 1543.96
2009-2010 58.3 53.1 3095.73
TOTAL 3298.98
Covariance (COV ab) = 1/5 (3298.98) = 659.8
a = 59.49 ; b = 54.56
Correlation Coefficient = COV ab / a * b = 659.8/(59.49)(54.56) = 0.2
CALCULATION OF PORTFOLIO WEIGHTS:
54
-
8/6/2019 Portfolio Management_Meenakshi Parashar
55/79
Wa = b [b-(nab*a)]
a2 + b2 - 2nab*a*b
Wb = 1 Wa
1. CALCULATION OF WEIGHTS OF INFOSYS & OTHER COMPANIES:
(i) INFOSYS (a) & RIL (b)
a = 71.02
b = 73.37
nab = -0.14
Wa = 73.37[73.37-(-0.14*71.02)]
(71.02)2 + (73.37)2 2(-0.14*71.02*73.37)
Wa = 6112.66
11886
Wa = 0.5
Wb = 1 Wa
Wb = 1- 0.5 = 0.5
(ii) INFOSYS (a) & TATA STEEL (b)
55
-
8/6/2019 Portfolio Management_Meenakshi Parashar
56/79
-
8/6/2019 Portfolio Management_Meenakshi Parashar
57/79
a = 71.02
b = 59.49
nab = 0.56
Wa = 59.49 [59.49-(0.56*71.02)]
(71.02)2 + (59.49)2 2(0.56*71.02*59.49)
Wa = 1137.07
3850.92
Wa = 0.3
Wb = 1 Wa
Wb = 1- 0.3 = 0.7
(v) INFOSYS (a) & ITC LTD (b)
a = 71.02
b = 54.56
nab = 0.14
Wa = 54.56 [54.56-(0.14*71.02)]
(71.02)2 + (54.56)2 2(0.14*71.02*54.56)
Wa = 2434.3
6935.68
Wa = 0.35
Wb = 1 Wa
Wb = 1- 0.35 = 0.65
2. CALCULATION OF WEIGHTS OF RIL & OTHER COMPANIES:
57
-
8/6/2019 Portfolio Management_Meenakshi Parashar
58/79
(i) RIL (a) & TATA STEEL (b)
a = 73.37
b = 99.06
nab = 0.2
Wa = 99.06[99.06-(0.2*73.37)]
(73.37)2 + (99.06)2 2(0.2*73.37*99.06)
Wa = 8359.28
12288.83
Wa = 0.68
Wb = 1 Wa
Wb = 1- 0.68 = 0.32
(ii) RIL (a) & ULTRATECH (b)
a = 73.37
b = 93.39
nab = 0.02
Wa = 93.39 [93.39-(0.2*73.37)]
(73.37)2 + (93.39)2 2(0.2*73.37*93.39)
Wa = 8584.65
13830.77
Wa = 0.62
Wb = 1 Wa
Wb = 1- 0.62 = 0.38
(iii) RIL (a) & ICICI BANK (b)
58
-
8/6/2019 Portfolio Management_Meenakshi Parashar
59/79
a = 73.37
b = 59.49
nab = 0.61
Wa = 59.49 [59.49-(0.61*73.37)]
(73.37)2 + (59.49)2 2(0.61*73.37*59.49)
Wa = 876.54
3597.18
Wa = 0.24
Wb = 1 Wa
Wb = 1- 0.24 = 0.76
(iv)RIL (a) & ITC LTD (b)
a = 73.37
b = 54.56
nab = -0.1
Wa = 54.56 [54.56-(-0.1*73.37)]
(73.37)2 + (54.56)2 2(-0.1*73.37*54.56)
Wa = 3377
9160.56
Wa = 0.37
Wb = 1 Wa
Wb = 1- 0.37 = 0.63
3. CALCULATION OF WEIGHTS OF TATA STEEL & OTHER
COMPANIES:
59
-
8/6/2019 Portfolio Management_Meenakshi Parashar
60/79
(i) TATA STEEL (a) & ULTRATECH (b)
a = 99.06
b = 93.39
nab = 0.49
Wa = 93.39 [93.39-(0.49*99.06)]
(99.06)2 + (93.39)2 2(0.49*99.06*93.39)
Wa = 4188.6
9468.39
Wa = 0.44
Wb = 1 Wa
Wb = 1- 0.44 = 0.56
(ii) TATA STEEL (a) & ICICI BANK (b)
a = 99.06
b = 59.49
nab = 0.65
Wa = 59.49 [59.49-(0.65*99.06)]
(99.06)2 + (59.49)2 2(0.65*99.06*59.49)
Wa = -291.44
5690.94
Wa = -0.05
Wb = 1 Wa
Wb = 1+0.05 = 1.05
(iii) TATA STEEL (a) & ITC LTD (b)
60
-
8/6/2019 Portfolio Management_Meenakshi Parashar
61/79
a = 99.06
b = 54.56
nab = 0.55
Wa = 54.56 [54.56-(0.55*99.06)]
(99.06)2 + (54.56)2 2(0.55*99.06*54.56)
Wa = 4.2
6844.5
Wa = 0.0006
Wb = 1 Wa
Wb = 1-0.0006 = 0.9994
4. CALCULATION OF WEIGHTS OF ULTRATECH & OTHER
COMPANIES:
(i) ULTRATECH (a) & ICICI BANK (b)
a = 93.39
b = 59.49
nab = 0.62
Wa = 59.49 [59.49-(0.62*93.39)]
(93.39)2 + (59.49)2 2(0.62*93.39*59.49)
Wa = 94.48
5371.6
Wa = 0.02
Wb = 1 Wa
Wb = 1- 0.02 = 0.98
(ii) ULTRATECH (a) & ITC LTD (b)
61
-
8/6/2019 Portfolio Management_Meenakshi Parashar
62/79
a = 93.39
b = 54.56
nab = 0.4
Wa = 54.56 [54.56-(0.4*93.39)]
(93.39)2 + (54.56)2 2(0.4*93.39*54.56)
Wa = 938.65
7622.2
Wa = 0.12
Wb = 1 Wa
Wb = 1- 0.12 = 0.88
5. CALCULATION OF WEIGHTS OF ICICI BANK & OTHER
COMPANIES:
(i) ICICI BANK (a) & ITC LTD (b)
a = 59.49
b = 54.56
nab = 0.2
Wa = 54.56 [54.56-(0.2*59.49)]
(59.49)2 + (54.56)2 2(0.2*59.49*54.56)
Wa = 2327.64
5217.54
Wa = 0.45
Wb = 1 Wa
Wb = 1- 0.45 = 0.55
CALCULATION OF PORTFOLIO RISK:
62
-
8/6/2019 Portfolio Management_Meenakshi Parashar
63/79
-
8/6/2019 Portfolio Management_Meenakshi Parashar
64/79
b = 93.39
Wa = 0.72
Wb = 0.28
nab = 0.4
P = (71.02)2(0.72)2+(93.39)2(0.28)2+2(0.4)(71.02*93.39)(0.72*0.28)
= 4368.21 = 66.09
(iv) INFOSYS (a) & ICICI BANK (b)
a = 71.02
b = 59.49
Wa = 0.3
Wb = 0.7
nab = 0.56
P = (71.02)2(0.3)2+(59.49)2(0.7)2+2(0.56)(71.02*59.49)(0.3*0.7)
= 3181.8 = 56.41
(v) INFOSYS (a) & ITC LTD (b)
a = 71.02
64
-
8/6/2019 Portfolio Management_Meenakshi Parashar
65/79
-
8/6/2019 Portfolio Management_Meenakshi Parashar
66/79
b = 93.39
Wa = 0.62
Wb = 0.38
nab = 0.02
P = (73.37)2(0.62)2+(93.39)2(0.38)2+2(0.02)(73.37*93.39)(0.62*0.38)
= 3393.27 = 58.25
(iii) RIL (a) & ICICI BANK (b)
a = 73.37
b = 59.49
Wa = 0.24
Wb = 0.76
nab = 0.61
P = (73.37)2(0.24)2+(59.49)2(0.76)2+2(0.61)(73.37*59.49(0.24*0.76)
= 3325.52 = 57.67
(iv) RIL (a) & ITC LTD (b)
a = 73.37
66
-
8/6/2019 Portfolio Management_Meenakshi Parashar
67/79
b = 54.56
Wa = 0.37
Wb = 0.63
nab = -0.1
P = (73.37)2(0.37)2+(56.46)2(0.63)2+2(-0.1)(73.37*54.56)(0.37*0.63)
= 1731.82 = 41.61
3. CALCULATION OF PORTFOLIO RISK OF TATA STEEL &
OTHER COMPANIES:
(i) TATA STEEL (a) & ULTRATECH (b)
a = 99.06
b = 93.39
Wa = 0.44
Wb = 0.56
nab = 0.49
P = (99.06)2(0.44)2+(93.39)2(0.56)2+2(0.49)(99.06*93.39)(0.44*0.56)
= 6868.8 = 82.88
(ii) TATA STEEL (a) & ICICI BANK (b)
a = 99.06
67
-
8/6/2019 Portfolio Management_Meenakshi Parashar
68/79
b = 59.49
Wa = -0.05
Wb = 1.05
nab = 0.65
P = (99.06)2(-0.05)2+(59.49)2(1.05)2+2(0.65)(99.06*59.49)(-0.05*1.05)
= 3524.14 = 59.36
(iii) TATA STEEL (a) & ITC LTD (b)
a = 99.06
b = 54.56
Wa = 0.0006
Wb = 0.9994
nab = 0.55
P= (99.06)2(0.0006)2+(54.56)2(0.9994)2+2(0.65)(99.06*54.56)
(0.0006*0.9994)
= 2976.78 = 54.56
4. CALCULATION OF PORTFOLIO RISK OF ULTRATECH &
OTHER COMPANIES:
68
-
8/6/2019 Portfolio Management_Meenakshi Parashar
69/79
(i) ULTRATECH (a) & ICICI BANK (b)
a = 93.39
b = 59.49
Wa = 0.02
Wb = 0.98
nab = 0.62
P = (93.39)2(0.02)2+(59.49)2(0.98)2+2(0.62)(93.39*59.49)(0.02*0.98)
= 3537.43 = 59.48
(ii) ULTRATECH (a) & ITC LTD (b)
a = 93.39
b = 54.56
Wa = 0.12
Wb = 0.88
nab = 0.4
P = (93.39)2(0.12)2+(54.56)2(0.88)2+2(0.4)(93.39*54.56)(0.12*0.88)
= 2861.28 = 53.49
5. CALCULATION OF PORTFOLIO RISK OF ICICI BANK &
OTHER COMPANIES:
69
-
8/6/2019 Portfolio Management_Meenakshi Parashar
70/79
(i) ICICI BANK (a) & ITC LTD (b)
a = 59.49
b = 54.56
Wa = 0.45
Wb = 0.55
nab = 0.2
P = (54.59)2(0.45)2+(54.56)2(0.55)2+2(0.2)(59.49*54.56)(0.45*0.55)
= 1938.47 = 44.03
INTERPRETATION:
The above graph shows that the combination of TATA STEEL & ULTRATECH
is most risky and RIL & ITC involves least risk.
CALCULATION OF PORTFOLIO RETURNS
Rp = Ra*Wa + Rb*Wb
70
-
8/6/2019 Portfolio Management_Meenakshi Parashar
71/79
PORTFOLIO Ra Wa Rb Wb Rp
Infosys & RIL 19.28 0.5 35.6 0.5 27.44
Infosys & Tata
Steel 19.28 0.85 48.29 0.15 23.63
Infosys &
Ultratech 19.28 0.72 48.98 0.28 27.6
Infosys & ICICI
Bank 19.28 0.3 36.8 0.7 31.54
Infosys & ITC
Ltd 19.28 0.35 -1.88 0.65 5.53
RIL & Tata Steel 35.6 0.68 48.29 0.32 39.66RIL & Ultratech 35.6 0.62 48.98 0.38 40.68
RIL & ICICI
Bank 35.6 0.24 36.8 0.76 36.51
RIL & ITC Ltd 35.6 0.37 -1.88 0.63 11.99
Tata Steel &
Ultratech 48.29 0.44 48.98 0.56 48.68
Tata Steel &
ICICI Bank 48.29 -0.05 36.8 1.05 36.22
Tata Steel & ITCLtd 48.29 0.0006 -1.88 0.9994 -1.85
Ultratech &
ICICI Bank 48.98 0.02 36.8 0.98 37.04
Ultratech & ITC
Ltd 48.98 0.12 -1.88 0.88 4.22
ICICI Bank &
ITC Ltd -1.88 0.55 -1.88 0.45 15.53
PORTFOLIO WEIGHTS, RETURN & RISK:
PORTFOLIO
(A & B)
WEIGHT
OF A
WEIGHT
OF B
PORTFOLIO
RETURN
PORTFOLIO
RISK
INFOSYS & RIL 0.5 0.5 27.44 47.35
INFOSYS & TATA
STEEL 0.85 0.15 23.63 69.91
INFOSYS &
ULTRATECH
0.72 0.28 27.6 66.09
71
-
8/6/2019 Portfolio Management_Meenakshi Parashar
72/79
CEMENT
INFOSYS & ICICI
BANK 0.3 0.7 31.54 56.41
INFOSYS & ITC LTD 0.35 0.65 5.53 46.07
RIL & TATA STEEL 0.68 0.32 39.66 64.24RIL & ULTRATECH
CEMENT 0.62 0.38 40.68 58.25
RIL & ICICI BANK 0.24 0.76 36.51 57.67
RIL & ITC LTD 0.37 0.63 11.99 41.61
TATA STEEL &
ULTRATECH
CEMENT 0.44 0.56 48.68 82.88
TATA STEEL &
ICICI BANK -0.05 1.05 36.22 59.36
TATA STEEL & ITC
LTD
0.000
6
0.999
4 -1.85 54.56
ULTRATECH
CEMENT & ICICI
BANK 0.02 0.98 37.04 59.48
ULTRATECH
CEMENT & ITC LTD 0.12 0.88 4.22 53.49
ICICI BANK & ITC 0.45 0.55 15.53 44.03
5.1 FINDINGS:
INFOSYS & RIL:
In this combination, as per the calculations and the study, Infosys bears 50% of
investment and RIL bears remaining 50%. The standard deviation i.e. risk is
reduced to 47.35.
From the return point of view, RIL is giving more return compared to that of
Infosys. From risk point of view, there is not much difference between the
standard deviation of the two companies, Infosys (71.02) and RIL (73.37). It is
better to make more investment in RIL stock.
INFOSYS & TATA STEEL:
72
-
8/6/2019 Portfolio Management_Meenakshi Parashar
73/79
In this combination, the portfolio weights of the two companies are 0.85
(Infosys) and 0.15 (TATA Steel). The standard deviation of Infosys is 71.02 and
99.06 for TATA. The combination is highly risky; the standard deviation of the
portfolio is 69.91.
A risk taker can invest more in TATA, but he needs to be careful. However,
more investment in TATA is not suggested, due to high risk involved.
INFOSYS & ULTRATECH CEMENT:
Another combination for portfolio decision-making is Infosys & Ultratech. This
is a risky combination. The investment proportion is 0.72 & 0.28 respectively.
The standard deviation and returns are 71.02 & 93.39 and 19.28 & 48.98
respectively.
INFOSYS & ICICI BANK:
It is a good combination as it involves lower risk and higher return. The standard
deviation of ICICI is 59.49, which is less compared to the standard deviation of
Infosys i.e., 71.02. It means less risk is involved in ICICI compared to Infosys.
So if any investor wants to invest his funds in this portfolio, it is suggested that
he invests a large share of his funds in ICICI. The combined standard deviation
is 56.41, which is less than individual risk of Infosys and ICICI.
INFOSYS & ITC:
The combination of INFOSYS & ITC gives the proportion of 0.35 and 0.65. The
standard deviation of INFOSYS is 71.02 and ITC is 54.56. Hence the investor
should invest their funds more in ITC as the risk involved in ITC is less than
INFOSYS. The combined portfolio risk is 46.07, which is less than the
individual risk of ITC. Individual returns are 19.28 and -1.88 respectively. This
is a risky investment as it involves more risk and less return.
RIL & TATA STEEL:
The portfolio weights suggest that more investment should be made in RIL than
TATA STEEL. Portfolio weights for RIL & TATA STEEL are 0.68 & 0.32
respectively. This is a high risk high return portfolio. Standard deviation for RIL
is 73.37 and for TATA STEEL it is 99.06. Combined portfolio risk is 64.24.
73
-
8/6/2019 Portfolio Management_Meenakshi Parashar
74/79
Individual returns are 35.6 and 48.29 respectively for RIL and TATA STEEL. It
is suggested that an investor should invest more in RIL compared to TATA
STEEL as it provides better returns for lower risk than the returns provided by
TATA STEEL.
RIL & ULTRATECH:
This is one of the best combinations. The portfolio weights suggest that more
investment should be made in RIL than ULTRATECH. Portfolio weights for
RIL & ULTRATECH are 0.68 & 0.32 respectively. This is a high risk-high
return portfolio. Standard deviation for RIL is 73.37 and 93.39 for
ULTRATECH. Combined portfolio risk is 58.25, which is less compared to
individual risk of RIL. Individual returns are 35.6 and 48.29 respectively for RIL
and ULTRATECH.
It is suggested that an investor should invest more in RIL, as it provides better
returns (35.6) for lower risk (73.37) when compared to ULTRATECH that
provides a return of 48.98 at a risk of 93.39.
RIL & ICICI BANK:
The investor has another alternative bearing the investment proportion of 0.24 &
0.76 for RIL & ICICI. The standard deviation of RIL is 73.37 and for ICICI it is
59.49. Hence the investor should invest their funds more in ICICI, as the risk
involved is low. It gives higher return at lower risk when compared to RIL.
The combined portfolio risk is 57.67, which is less compared to individual risk
of ICICI.
RIL & ITC:
This combination has investment proportion of 0.37 & 0.63 for RIL & ITC
respectively. The standard deviation of RIL is 73.37 and ITCs standard
deviation is 54.56, it means ITC has less risk compared to RIL. It is suggested to
74
-
8/6/2019 Portfolio Management_Meenakshi Parashar
75/79
invest more in ITC though it has negative returns because investing in RIL could
be more risky.
TATA STEEL & ULTRATECH:
This is of the best combinations for a risk taker. It involves the highest risk and
gives the highest return. An investor should be careful while investing in this
portfolio.
The portfolio weights are 0.44 & 0.56 respectively. The standard deviation of
TATA STEEL & ULTRATECH is 99.06 & 93.39 respectively. And the returns
are 48.29 & 48.98.
The risk associated with these companies has been diversified and reduced to
82.88 and portfolio return is 48.68.
TATA STEEL & ICICI BANK:
The portfolio weights suggest that more investment should be made in ICICI
than TATA STEEL.
Portfolio weights for TATA STEEL & ICICI are -0.05 & 1.05 respectively. The
standard deviation is 99.06 & 59.49 respectively which has been reduced to
59.36. Optimum investment decision from the investors point of view is to
invest all in funds in ICICI, which will give him better returns with less risk.
TATA STEEL & ITC LTD:
The combination of TATA STEEL & ITC gives the proportion 0.0006 &
0.9994. The standard deviation of TATA STEEL is 99.06 and ITC is 54.56.
Hence the investor should invest their funds more in ITC as the risk involved in
ITC is less than that of TATA STEEL. Investing more in TATA STEEL is
highly risky.
The combined portfolio risk is 54.56 which is less than the individual risk of
TATA STEEL.
ULTRATECH & ICICI BANK:
75
-
8/6/2019 Portfolio Management_Meenakshi Parashar
76/79
According to this combination the portfolio weights are 0.02 (ULTRATECH) &
0.98 (ICICI). The standard deviation of ULTRATECH is more than that of
ICICI i.e., 93.39 > 59.49.
If the investor wants to take low risk then ICICI is a better option as it provides
better return with less risk.
ULTRATECH & ITC LTD:
The combination of ULTRATECH & ITC gives the proportion 0.12 & 0.88. The
standard deviation of ULTRATECH is 93.39 and ITC is 54.56. Hence the
investor should invest their funds more in ITC as the risk involved in ITC is less
than that of TATA STEEL. Investing more in TATA STEEL is highly risky.
The combined portfolio risk is 53.49 which is less than the individual risk of
ULTRATECH.
ICICI BANK & ITC LTD:
According to this combination the portfolio weights are 0.45 (ICICI) & 0.55
(ITC). The standard deviation of ICICI is more than that of ITC i.e., 59.49 >
54.56. The combined portfolio risk is 44.03 which is less than the individual risk
of ICICI & ITC.
5.2 SUGGESTIONS:
1. The combination of TATA STEEL & ULTRATECH gives highest returns
but is highly risky. It is the best portfolio for a risk seeker. It is suggested to
be careful while investing in this portfolio.
2. It is suggested to invest in RIL & ULTRATECH. This is the best
combination available to an investor among the selected portfolios, sinc