lecture 4
TRANSCRIPT
Risk Analysis
Lecture 4
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Sources and Types of Risk
Source Type or Nature
International Host government regulations and attitudesPolitical unrestExchange rate changes
Domestic RecessionInflation or deflationInterest rate changesPolitical changes
Industry TechnologyCompetitionRegulationAvailability of raw materialsLabor and other input price changesUnionization
Firm-Specific Management competenceStrategic directionLawsuits
Five types of risk Short-term liquidity risk
Ability to generate cash to service working capital requirements Long-term solvency risk
Ability to generate cash internally or externally to meet long-term capacity requirements
Credit risk Ability to service debt payments
Bankruptcy risk Continuing ability to meet all obligations (avoiding default on
loans, avoiding default on payments to suppliers and so forth) Market equity risk
How risky a company’s stock is relative to other securities in the market
A “combined” measure of risk from the equityholder’s perspective A common measure is beta – covariability of a firm’s returns with
the returns of all securities in the market
Framework for Financial Statement Analysis of Risk
Ability Ability to Generate Cash Need to Use Cash Financial Statement Analysis Performed
Operating Profitability of goods Working capital Short-term and services sold Requirement liquidity risk
Investing Sales of existing plant Plant capacity Long-term assets or investments Requirement solvency risk
Financing Borrowing capacity Debt service Long-term Requirement solvency risk
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Analyzing Short-Term Liquidity Risk Require an understanding of the operating cycle of a firm. Relates to the timing and relative magnitudes of cash
inflows and outflows in the short-run. We would expect a company to have net cash inflows over
time However, difficult to time inflows and outflows such that there
is always no cash crunch Unexpected bottlenecks Sudden spurts or lulls in demand Unexpected delays in cash collection Unexpected pressures from suppliers to pay up
Timing cashflows is more difficult in some industries relative to others
So need to maintain a greater cash buffer or reserve in some companies/industries relative to others
Firms with high levels of debt requiring high levels of interest payments also need to maintain more liquidity
Financial Ratios for assessing short-term liquidity risk Current Ratio Quick Ratio Operating Cash Flows to Current
Liabilities Ratio Working Capital Activity Ratios
Accounts receivable turnover Inventory turnover Accounts payable
Current Ratio
How current assets relate to current liabilities In excess of one? Depends on inventory management Depends on the ability to quickly raise short-
term credit when needed (such as unused line of credit)
High current ratio may actually signal unfavorable business conditions
No “optimal” levels; industry practice often the best benchmark
Can be managed!
Quick Ratio
Also called acid test ratio A measure of ability to discharge
current liabilities, quickly Take out from current assets items
that are less liquid such as inventories
Also subject to some of the same concerns as the current ratio
Operating Cash Flows to Current Liabilities Ratio
Ability to generate cash flows from operations to meet current obligations
Operating cash flows is what remains after funding working capital needs
Higher this ratio, the greater is the “cushion” that a firm has
Together with current and quick ratios, this ratio helps in assessing short-term liquidity risk better
Working Capital Activity Ratios Speed with which firm converts accounts receivable to
cash Speed with which firm turns over inventories Speed with which firm pays its suppliers Determine the amount of working capital necessary to
finance operations Days of working capital needed from external sources =
Days inventory held + days of accounts receivable outstanding – days of accounts payable outstanding
A smaller number of days indicates less need for external financing
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Analyzing Long-Term Solvency Risk
Recall thatROE = Op. ROA
+ (Op. ROA – Net Borrowing Rate) x Net Fin. Leverage
= Op. ROA + Spread x Net Fin. Leverage If Spread >0 (<0), the gain (loss) in ROE from financial
leverage increases with Net Fin. Leverage Financial leverage therefore enhances ROE when
operating ROA is greater than net borrowing rate As the proportion of debt increases, the risk that the
firm cannot pay interest and repay principal also increases
Unless the firm has the ability to generate sufficient earnings over a period of years
So, how do we assess long-term solvency risk?
Analyzing Long-Term Solvency Risk
Ability to generate sufficient earnings over the long-term
Profitability Debt ratios
Long-term debt ratio (typically less than 1) Debt-equity ratio Liabilities to assets ratio (typically less than 1)
Interest coverage ratio Earnings before interest and taxes/interest Can generalize to other fixed payment obligations as well
(fixed charges coverage ratio) Operating cash flows to total liabilities
Explicitly considers a company’s ability to generate cash Problem 5.3
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Analyzing credit risk
Circumstances Leading to Need for the Loan Why is the loan being sought?
To smooth over seasonal fluctuations? To “bridge” timing differences between
cash outflows and inflows? To pay off other debt? To fund new product development in
order to stay in business (National semiconductor example)
Analyzing credit risk Cash Flows
Cash flow generating ability. Look for weaknesses in cash flow statements:
Unusual/inexplicable increases in accounts receivable High levels of accounts payable Upward trend in other liabilities Negative cash flows from operations Capital expenditures in excess of cash flows Declining capital expenditures Liquidating current assets such as marketable securities Cutting dividends
Ratio Cash flows from operations to average current liabilities Cash flows from operations to average total liabilities
Projected cash flow statements Ability to service loans and repay loans in the future
Analyzing credit risk Collateral
Marketable securities, Accounts receivable, Inventories, Fixed assets
Capacity for Debt Existing level of debt (high debt ratios) Margin of safety available in interest coverage
Contingencies Commitments of the firms that could give rise to
claims on future cash flows Character of Management Conditions
Covenants or conditions placed by existing/senior lenders
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Analyzing bankruptcy risk
Firms enter bankruptcy when there is not enough cash to immediate claims of creditors
Insufficient liquidity To avoid costly labor renegotiations To avoid costly litigation
Bankruptcy prediction models based on select financial statement ratios
Investment factors (asset side) Relative liquidity of a firm’s assets Asset turnover rates
Financing factors (liability side) Leverage Proportion of short-term debt in capital structure
Operations Profitability Volatility
Trends in these ratios can signal impending bankruptcy So lenders, creditors and shareholders can make informed decisions in
supplying capital and credit facilities
How do bankruptcy prediction models work?
Take a sample of firms that went bankrupt Match these firms with non-bankrupt firms of the same size
and in the same industry
Year 0Year -2 Year -1
Align all firms on the bankruptcy year (Year 0) Compute relevant financial statement ratios a priori for
bankrupt and matching firms in years -2, -1 Use appropriate methodology to examine/select ratios that
discriminate between and non-bankrupt firms Methods used
Multi-discriminant analysis Logit (which provides an estimate of the probability that a firm will
go bankrupt)
Multi-discriminant Analysis A way to look at multiple ratios simultaneously Easy to apply Provides a model to assess bankruptcy Can make Type I or Type II errors
Type I error: Classifying a potential bankrupt firms incorrectly as non-bankrupt firm
Type II error: Classifying a potential non-bankrupt firn incorrectly as a bankrupt firm
Which error is costlier? The best known bankruptcy prediction model
is Altman’s z-score
Altman’s Z-ScoreZ-Score = 1.2 [ Net working Capital/ Total Assets]
+ 1.4 [ Retained Earnings/ Total Assets] + 3.3 [Earnings Before Interest and Taxes/ Total Assets] + 0.6 [ Market Value of Equity/ Book Value of Liabilities] + 1.0 [ Sales/ Total Assets]
How to use it? Calculate the ratios on the right hand side of the equation Plug these values in the equation and calculate the z-score Z-score > 3 indicates low probability of bankruptcy
Z-score between 1.8 and 3 is gray area Z-score less than 1.8 indicates high probability of bankruptcy
Note: For this class, we will not use Ohlson’s Logit Model. Let us just use Altman Z-score.
Issues with Bankruptcy Prediction Models
The model is only as good as the “match” firm Stability of models over time Need to update the coefficients and even the specific
ratios used. Problem 5.5
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Market Equity Beta Risk A broader measure of risk from an equity market
perspective Beta –
A measure of covariance of firm’s returns with returns of other securities traded in the market
A measure of how risky is a firm’s stock relative to the market
Beta = 1 implies the stock is of similar risk Beta > 1 implies the stock is of a higher risk (expected return is
higher) Beta < 1 implies the stock is of a lower risk (expected retrun is
lower) Often referred to as the “Systematic risk”
Determinants of Beta Operating leverage Degree of financial leverage Demand variability
Topics
Framework for Risk Analysis Analyzing Short-Term Liquidity Risk Analyzing Long-Term Solvency Risk Analyzing Credit Risk Analyzing Bankruptcy Risk Market Equity Beta Risk Financial Reporting Manipulation Risk
Motivations for Earnings Manipulation
Saving debt financing cost by showing more profitable or less risky.
Positively influence stock prices, or delay inevitable stock price declines.
Increase performance-based management compensation.
Avoid violation of debt covenants.
Beneish’s earnings manipulation model
Case 5.3 List of recent bankruptcies