measuring & managing earnings & value at risk - financial risk … · 2016-06-20 ·...
TRANSCRIPT
2/22/2013
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© 2013 FARIN & Associates Inc.
Measuring & Managing
Earnings & Value at Risk
Presented By:
David W. Koch
Chief Operating Officer
FARIN & Associates, Inc..
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© 2013 FARIN & Associates Inc.
Asset/Liability Management
Definition:
“asset/liability management” is the processes of
acquiring and deploying funds to maximize the
earnings, and value of the institution, while
controlling financial risks.
Key Issues:
• Set Direction to Meet Capital Plan Goals for
Earnings, Growth and Capital
• Measure All Financial Risks to Plan
• Measure Risk based on Return!
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Interest Rate Risk
• Definition:
– The risk that changes in market interest rates will affect
Income & Market Value of Assets & Liabilities.
– 2 part definition:
• Income (Earnings at Risk)
• Market Value (Value at Risk)
– EVE, NEV, MVPE
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MEASURING EARNINGS @ RISK
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Interest Rate Risk Redefined
• Income Portion of Definition
– Reinvestment risk is the risk that as one instrument matures and
is replaced with another, the funds being reinvested will carry a
different interest rate than the funds in the original instrument.
• Example - a customer‟s $10,000 90-day CD yielding 6% is about to
mature. Tomorrow we‟ll pay her $10,150 P&I. If we wish to continue
to fund the asset supported by the CD, we‟ll have to replace the
$10,000. In order to do so we‟ll have to pay prevailing market rates,
which might mean something other than 6%. At that point the
$10,000 reprices. Our cost of funds may rise or fall.
– Reinvestment risk is not a problem as long as it‟s occurring at
approximately the same speed on both assets and liabilities.
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© 2013 FARIN & Associates Inc.
ALCO‟s Primary Responsibilities
• Set Direction of Balance Sheet Growth and Pricing to Meet Capital Plan Goals for – Earnings
– Capitalization
– Growth
• Ensure Adequate Level of Net Interest Income/Net Income Under Current Plan and Economic Outlook
• Assess Risk to Capital, Earnings and/or Growth from
– Interest Rate Risk
– Liquidity Risk
– Credit Risk
• Unacceptable Risk in any of the above raises Regulatory Risk!
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© 2013 FARIN & Associates Inc.
ALCO‟s Primary Responsibilities
• Examine Balance Sheet Structure – Loan/Investment & Deposit/Borrowing Mix
– Growth rates
– Controlled through Loan & Deposit Pricing
– Investment Portfolio Management
• Earnings impact
• Liquidity Needs
– Wholesale Funding
– Capital Utilization
• Risk Measurement and Management • Interest Rate Risk
• Liquidity Risk
• Credit Risk
• Regulatory Risk
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© 2013 FARIN & Associates Inc.
What Causes Interest Rate Risk?
• Four Reasons Why or When Financial Instruments
Are Rate Sensitive
– Maturity
• Example: 90 day CD with P&I due at maturity
– Amortization
• Example: 30 year fixed rate mortgage reprices gradually as the
principal and interest payments are received.
– Prepayment
• Example: 11% fixed rate mortgage with market rates of 8%. It
reprices when owner refinances to obtain a better rate.
– Contractual repricing terms on arm or variable rate loan
• Example: 30 year ARM with annual resets.
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Interest Rate Risk is Caused by Changes in Actual vs. Expected Cash Flow
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© 2013 FARIN & Associates Inc.
ALCO Controls for IRR
• Loan and Deposit Pricing
– Most powerful ALM tool you have!
• Mix Optimization
• Wholesale Alternatives
– Borrowings/Investments
– Synthetics/Derivatives
• Determination of Required/Desired Capital Level
– Setting a Firm Target Creates a Single Priority to
assess other variables
• Growth vs. Earnings vs. Lower Capital (Higher Leverage)
• Higher Leverage means lower capital/assets but creates
higher shareholder return
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ALCO Measurement Systems
ALCO Must:
• Develop measurement systems that:
– Project the future earnings of the institution over a short horizon
(2-3 years)
– Test the performance of earnings in a variety of interest rate
scenarios
– Assess the long-term earnings risk profile (EVE/NEV) of the
balance sheet
– Develop strategies to minimize undesirable risks or manage risks
taken
• Develop Processes that
– Maximize financial performance under all foreseeable economic
conditions
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© 2013 FARIN & Associates Inc.
Income at Risk Measurement Tools
Picking the Right Tool to match the job…
What is the job again??? • Gap Analysis
– Measures dollar volume difference between rate sensitive (repricing) assets and liabilities
• Income Simulation – Projects reinvestment and repricing of cash flows in
different rate scenarios to estimate effect on net interest income and net income
– Measures impact of interest rate changes on earnings
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© 2013 FARIN & Associates Inc.
Gap Analysis
• Inventories Timing of Repricing of RSA & RSL
– Future divided into time bands (buckets)
– Balances slotted based on
• Cash flows (fixed)
• Scheduled repricing (variable)
– Total RSA & RSL totaled by time band
– Control ratios are
• Gap/Assets (+/-10%)
• RSA/RSL (0.8 - 1.2)
• Goal of GAP: Provide a Proxy on Earnings at Risk
• Advantages
– Easy data availability
– Can be done manually
– Inexpensive
• Disadvantages
– How soon but not how much
– Fails to consider option risk
– Not a good market value tool
– Difficult to explain to boards &
non-financial managers
– Measures risk but not return
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ALCO Decisions
• Describing the Basic Balance Sheet Positions…
– Asset Sensitive: More assets reprice than liabilities
• If rates increase Income should increase
• If rates decrease Income should decline
– Liability Sensitive: More liabilities reprice than assets
• If rates decrease Income should increase
• If rates increase Income should drop
– Is it possible to have a neutral position?
• Option risks make this nearly impossible for retail financial
institutions
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© 2013 FARIN & Associates Inc.
Examining IRR Measures
• Let‟s look at a sample institution
– $900 MM Commercial bank
• 85% Loan/Assets
• 10% NIB Funding
• 17% Checking & Savings
• 56% CDs
• 9% Capital
– Gap Analysis used as primary IRR tool
• As of date = June 2006
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Mr. Peabody‟s Wayback Machine
• June 2006 Questions
– Market rates were high
– Rate Predictions:
• Uncertain rate movements
• Generally hoping for lower short term rates
• 50/50 bet on next move
• Impact on ALCO
– What IRR profile do we want in this situation?
– How should we measure our risks?
• Questions in today‟s environment
– When are rates going to rise? Which rates?
– Are rates more likely to rise than fall?
– How will margin be impacted?
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© 2013 FARIN & Associates Inc.
Case Study – Gap
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Month 1 Month 2 Month 3 2nd Quarter 3rd Quarter 4th Quarter
Total RSA 371,634,902 22,487,784 14,125,103 41,131,542 33,236,705 41,011,583
Total RSL 52,728,663 96,652,568 7,002,470 151,943,964 135,255,369 108,188,666
Gap (RSA-RSL) 318,906,240 (74,164,784) 7,122,634 (110,812,421) (102,018,664) (67,177,083)
Cum RSA 371,634,902 394,122,686 408,247,789 449,379,332 482,616,037 523,627,620
Cum RSL 52,728,663 149,381,230 156,383,700 308,327,663 443,583,032 551,771,699
Cum Gap (RSA-RSL) 318,906,240 244,741,456 251,864,090 141,051,669 39,033,005 (28,144,078)
RSA/RSL 7.05 0.23 2.02 0.27 0.25 0.38
Cum RSA/RSL 7.05 2.64 2.61 1.46 1.09 0.95
Gap/Assets 37.76% -8.78% 0.84% -13.12% -12.08% -7.95%
Cum Gap/Assets 37.76% 28.98% 29.82% 16.70% 4.62% -3.33%
Positive Gap at 1 month indicates VR loans and extra Cash investments
Negative cumulative gap at 1 yr. says little chg. in earnings projected
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© 2013 FARIN & Associates Inc.
Actual Rate Movements Treasury Rate Comparisons
4.00
4.20
4.40
4.60
4.80
5.00
5.20
5.40
1 M
onth B
ill -
BEY
3 M
onth B
ill -
BEY
6 M
onth B
ill -
BEY
1 Yea
r T-B
ill R
ate
18 M
onth T
-Bill
Rat
e
2 Yea
r Note
Yie
ld
3 Yea
r Note
Yie
ld
5 Yea
r Note
Yie
ld
10 Y
ear Note
Yie
ld
30 Y
ear Ext
rapola
ted B
ond Yie
ld
2006M06 2006M12 2007M06
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Actual Change in NIM
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Actual NIM drops from June 06 by nearly 10%
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Components of NIM Change Changes in Net Int Margin Components
-0.40%
-0.30%
-0.20%
-0.10%
0.00%
0.10%
0.20%
0.30%
0.40%
Mar 2006-YTD Jun 2006-YTD Sep 2006-YTD Dec 2006-YTD
Ch
g in
NIM
-0.50
-0.40
-0.30
-0.20
-0.10
0.00
0.10
0.20
0.30
0.40
0.50
Ch
g in
Ma
rke
t R
ate
s
Chg in Int Inc/AA Chg in Int Exp/AA Chg in NIM/AA Chng in 6 Mo Treas Chg in 1 Yr Treas Chg in 10 Yr Treas
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Change in Interest Expense Killed Margin!
© 2013 FARIN & Associates Inc.
Issues in Trends
• Prior graph shows:
– Lines Graph – Changes in Qtrly. interest rates
– Int. Inc.. and Int. Exp. both rise in 2nd Qtr.
– Int. Exp. rises faster than Int. Inc..
– Result - NIM Declines 10%
• Institution raised deposit costs when rates
had actually decreased - PRICING
• It‟s not enough to measure WHEN something
reprices but HOW MUCH it will reprice
• Modeling risk requires realistic assumptions
on institution pricing actions
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© 2013 FARIN & Associates Inc.
MODELING INCOME @ RISK
Income Simulation
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Static Income Simulation
• Definition
– Projecting financial statements assumes a constant
balance sheet. No change in level or mix.
– Measure effect of rate changes on income by running
multiple rate environments.
– Income at risk = Projected changes in income in the
different rate environments
– Policy limits set to minimize rate change effect one key
metric used in measuring return
• Example – Drop in Net Interest Income should not be more
than 15% of base level if rates move against institution.
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© 2013 FARIN & Associates Inc.
Static Income Simulation
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Today
Current Balance Sheet and
Forecast Balance Sheet are the Same
Usually run against Gradual and/or
Immediate & Permanent
Rate movements
Typically 1-3 Years
Horizon
Income is a flow that occurs over
time. To test income at risk you
must run a forecast. In static
income at risk the balance sheet
composition is held constant
throughout the forecast.
© 2013 FARIN & Associates Inc.
Dynamic Income Simulation
• Definition
– Projection of institution‟s financial statements based on
a set of assumptions.
• Total Assets may change
• Loan/Investment & deposits/borrowings levels change
• Consistent with Budgeting and Liquidity management
– Measure effect of rate changes on income by
measuring multiple rate forecasts.
– Income at risk is measured by fluctuations in income
measurement under the different rate environments
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© 2013 FARIN & Associates Inc.
Measuring Earnings at Risk
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© 2013 FARIN & Associates Inc.
Measuring Earnings at Risk
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Dynamic Income Simulation
• Advantages
– Model used for dynamic
income at risk analysis can be
used for multiple purposes.
• Budgeting
• Strategic Planning
• Interest Rate Risk Analysis
• Liquidity Risk
– Measures most important
management issue:
• short and medium term
earnings –
• the effect of rate changes
performance
• ROA, ROE, EPS, etc.
• Disadvantages
– Cost of software
– People costs for skills to
manage
– Data and Time Intensive
• Ideally your plan should be
incorporated into model.
• As we see more regulatory
action on Enterprise Risk
Management, expect more
acceptance and expectation for
integrated plans and risk
management…
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© 2013 FARIN & Associates Inc.
Fallacies of Static IAR
• “By keeping the balance sheet Static we are
testing the IRR in the existing Balance Sheet”
– Not really, The fact that we are replacing cash flows means
we are forecasting a dynamic position that simply has no
change in mix from current levels.
• “Using forecasted data ‘clouds’ the output”
– How is a plan that does not represent what we are actually
implementing help me in making decisions?
• “Management can manipulate assumptions and
change the appearance of risk”
– If ALCO is run properly, then this is easily validated by
regular back tests to ensure actions are consistent with
plans.
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© 2013 FARIN & Associates Inc.
Static vs. Dynamic IAR
Balance Sheet Comparison
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Projected Growth
Static Bal Sheet
© 2013 FARIN & Associates Inc.
Static vs. Dynamic IAR
Income Stmt Comparison
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Growth
Static
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© 2013 FARIN & Associates Inc.
Implementing Dynamic ALCO
• Focus on Production, not Income.
• Focus on How Results are Generated not just the
results
• Must prove that you manage the forecasts :
– Be able to demonstrate accurate projections
– Document variances, causes and impacts on
performance
– Prove timely actions are taken and projections are
rerun showing new performance levels
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© 2013 FARIN & Associates Inc.
FFIEC IRR ADVISORY
The time has come to do more in ALCO
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Joint Agency Policy on IRR
• First Adopted in 1996 – Added the S component to CAMEL Rating
– Developed Qualitative Assessment process for Examination
• No Uniform Supervisory Measure
• Major Components – Board & Senior Management Oversight Roles
– Risk Management Processes • Controls & Limits
• Identification & Measurement
• Monitoring & Reporting
• Internal Audit & Review
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© 2013 FARIN & Associates Inc.
Joint Agency Policy Statement 5 Areas of Risk To Model
1. Repricing Risk: Impact of mismatch of repricing timing or amount on earnings/capital
2. Basis Risk: How different balance sheet components respond to market rate movements due to driver response – Example: Libor vs. Prime movements
3. Yield Curve Risk: Recognition that Yield Curves do not move the same amounts for all maturities (non-parallel movements)
4. Price Risk: Changes in market values of financial instruments and the impact on the market value of capital.
5. Option Risk: Changes to cash flows resulting from rate movements
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2010 FFIEC IRR Guidance
• 2010-1A IRR Regulatory Guidance
– Issued December 2009
• Restatement of 1996 Joint Agency Policy Statement on Interest Rate Risk – FIL-52-96 Joint Agency Policy Statement: Interest Rate Risk
– http://www.fdic.gov/news/news/financial/1996/fil9652.html
• 3 Major Issues:
– Effective Policies & Governance
– Effective Measurements
– Meaningful & Adequate Reporting
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© 2013 FARIN & Associates Inc.
2010 FFIEC IRR Guidance
• What to Measure – To obtain “Well Managed” rating, must measure both
earnings & economic value at risk
– Must extend simulation of Income at Risk to minimum
of 2 years.
– If you are using dynamic balance sheet modeling, you
must also run a static balance sheet.
• Why? Minimize Assumption Risk
• Must be able to prove your model is effective at measuring
real risks
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Extended Income Simulation
• Looking beyond a year…
– In Base & Flat rates, Interest Income Declines in
Yr. 2 from Yr. 1 levels
– As rates increase, why does the Expense rise
faster than Income as rates increase?
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© 2013 FARIN & Associates Inc.
KEYS TO BUILDING A VALID
MODEL
Managing Internal Assumptions
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Assumptions in Modeling
• Internal Assumptions: Those inputs that ALCO
can control
– Offering rates
– Growth & mix projections
• External Assumptions: Assumptions that
influence results that are outside of ALCO control
– Future interest rate levels
– Loan prepayment speeds
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© 2013 FARIN & Associates Inc.
ALCO Model Keys
• Models depend on accurate assumptions
• Most critical of all assumptions is the speed of cash flows
coming due and repricing - CONTROLLABLE
– More asset flows, faster the response to rate movements
• Recent years have seen regulatory pressure to Validate
models
– Model Validation is designed to ensure proper flows, management
assumptions, and market assumptions
• Ideally, ALCO and Budget processes would share
assumptions and monthly variances validate projected
flows vs. actual
– Can be used to directly impact earnings and production
expectations
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© 2013 FARIN & Associates Inc.
Production Based ALCO
• Interest Rate Risk Levels are linked directly to the
speed of flows
– More asset flows, faster the response to rate
movements
• Model Validation is a process designed to ensure
proper flow and management assumptions, but
• If ALCO and Budgets are to meet, then the
projected flows directly impact earnings and
production expectations
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© 2013 FARIN & Associates Inc.
Production Based ALCO
Example:
• Community Bank with 100 million loan portfolio
• Current Interest Rate Risk shows Asset Sensitive
– More assets reprice than liabilities
• Budget is to maintain loan levels
How much volume does the loan department have to
produce to stay even?
• New loans must equal the amount or renewing, maturing
and loan repayments
• Using the modeling as a production guide helps keep
ALCO accurate and loan department on plan
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Production Based ALCO
• ALM Model Projected Runoff by quarter
• Review of cash flows acts as a “validation” step for reasonableness each ALCO meeting – Normal run-off for this bank is $1.6 million/month
– 1st Qtr showing nearly $2 million/month – Data issues!
• Similar report showing planned originations, including renewals, helps set targets and drive discussion of – Products (Fixed/Variable, Balloon/Full Amortizing, etc)
– Rates (Need to integrate good pricing model)
– Strategy (Liquidity needs, deployment of excess funds)
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Q1 Q2 Q3 Q4
© 2013 FARIN & Associates Inc.
Balance Sheet Comparison
• 90 Day Look-Back
– Total Assets on Track with plan
– Loan Growth Short of plan
• Look for discussion
• Re-projection
– Change in Mix
• Investments for Liquidity
• Loans off due to Increase
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Actual Projected
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Income Statement Comparison
• 90 Day Look-Back
– Loan Income off projection – Loss of Volume
– Investments off - Mix
– Interest Expense On Target – Total
• Change in Mix shows swap in source of funds/costs
– Review minutes for discussion of strategy
• Meet plan or revise
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Actual Projected
© 2013 FARIN & Associates Inc.
Common Issues in ALCO Models
• Bad input data skews projected cash
flow/repricing information
– Begin monitoring cash flows behind Income at Risk
results
– Explain and document all discussions of variance and
production (minutes)
• Deposit repricing rates versus expected or past
performance don‟t match
• Little time spent assessing “What-if” or real world
plans
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© 2013 FARIN & Associates Inc.
Deposit Assumptions in IRR Model
• Major source of margin concern centers on
deposit rate movements in rising rates.
• Following analysis tracked actual rates to
historical through last rising rates
• Comparison of margin performance to projection
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© 2013 FARIN & Associates Inc.
Historical Rate Comparison
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Current concern is that rates will move as they did in „04-‟07
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© 2013 FARIN & Associates Inc.
Model Assumptions: Deposit Rates
Account Flat Rates Pricing Rule Rising 3%
Rates over 12
months
Shock +2%
Immediate
Savings 0.05% Move by 50% of rate
change
1.55% at end
of 1 yr
1.05% in 1
month
NOW 0.05% Move by 50% of rate
change
1.55% at end
of 1 yr
1.05% in 1
month
MMDA 0.25% Move by 75% of rate
change
2.5% at end of
1 yr
1.75% in 1
month
Rewards 1.13% Move by 50% of rate
change
2.98% at end
of 1 yr
2.48% in 1
month
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© 2013 FARIN & Associates Inc.
Sample Bank NMD Rates
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MMDA rates reached a “cap” in last rate rise
Checking rates mirrored MMDA and new
Rewards Account introduced as cost control
Measure
Savings rates are on life support…
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© 2013 FARIN & Associates Inc.
Rate Comparison Actual to Forecast
Actual Real Changes
‘04-’07
Actual %
change
Savings 0.00% 0%
NOW 2.5% 58%
MMDA 2.0% 48%
Rewards ??? ???
Projected Projected %
Change
Savings 50%
NOW 50%
MMDA 75%
Rewards 50%
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Need to rethink deposit rate changes in model then
rerun income @ risk to determine true sensitivity
Areas of pricing concern:
Savings – significantly different real response than projected
MMDA – Moderately overstated
NOW – reasonable but how does the addition of Rewards
account change response this time?
© 2013 FARIN & Associates Inc.
EXTERNAL RATE FORECASTS
What Rate Projections Do I Use?
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© 2013 FARIN & Associates Inc.
What Rate Projections Should I Use?
• Most ALCO‟s focus on
rate shocks
– Little Probability
– Misstate earnings levels
• Some use rate ramps
– No bearing to real rate
movements
– When rates change impacts
performance
• Often one “index” used to
control all offering rates
– “simplify” the model
– Ignores Basis Risk
• Budgets built on single
rate forecast
– off track when Fed moves
– Assuming 100% probability
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© 2013 FARIN & Associates Inc.
FFIEC IRR Guidance
• What Interest Rates To Measure? – Traditional measures have been shocks
• +/- 100, 200, & 300 basis points
• Not enough stress, implied a 400 bp test
– Rate movements must be both severe and
plausible
• Must recognize current cycle and possibility for scenario
• Should consider changes in slope, & twists in curve
• Who defines plausible?
• Are parallel shocks plausible?
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Historical Rate Comparison
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Global Insight – December 2012 Forecast
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Probability
Base: 60%
High: 20%
Low: 20%
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Rate Forecasts – Best Practices
• Policy must address actions when outside limits
in relative rate probability
– If rate forecast probability < 10%, no actions required
– If rate forecast probability > 10% but < 20%, ALCO
prepares list of possible strategies, timeline & impact
– If rate forecast probability > 20%, immediate actions
taken to return to compliance
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Value at Risk Concept
• Consider 401K or
Personal Investments
• Value of Bonds goes
UP when Rates go
DOWN…why?
– Bonds are fixed rates
that will earn More as
compared to new rates,
creating “Market Value”
greater than “Book
Value”
– Only real value if you
SELL the asset
• Aren‟t the financial
instruments on a balance
sheet the same as your
401K investments?
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Price Rates
© 2013 FARIN & Associates Inc.
Interest Rate Risk
• Market Value Portion of Definition
– Market value risk is the risk that a change in market
interest rates will raise or lower the market value of
instruments in an institution‟s portfolio.
• Example: you just purchased a new five year treasury yielding
5%. Immediately after purchase, 5 year treasury rates move
to 6%. Because A potential purchaser would expect to earn
6% and your treasury pays 5%, you would need to make up
the difference of 1%. That‟s 1% per year for 5 years or a
discount on sale of approximately 5%.
– Market value risk is not a problem as long as the
market value of both assets and liabilities is moving in
the same direction and at approximately the same
speed.
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Interest Rate Risk
• Market Value of Capital (Equity)
– Present value of expected cash flows from assets
– Less: present value of expected cash flows from
liabilities
– Plus: present value of expected cash flows from off-
balance sheet activities
• Sum divided by the present value of assets =
Present Value of Equity Ratio (capital/assets or
EVE/NEV Ratio)
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© 2013 FARIN & Associates Inc.
Measuring Value at Risk
• Duration Analysis
– A measure of an instrument‟s change in value for
every 1% change in market rates
• Discounted Cash Flow Analysis
– Valuing the estimated future cash flows based upon
time value of money
– Re-project cash flows for each interest rate scenario
and value
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Duration
• Measures An Instrument‟s
Price Sensitivity
– Weighted average of PV of
an instrument‟s cash flows
– Can be used in simple
valuation formula
(chg MV = - D x chg MR)
• Can Be Used To Measure
Price Sensitivity Of:
– An instrument
– A portfolio of similar
instruments
– A portfolio of dissimilar
instruments
• Advantages
– Single price sensitivity index
– Easily calculated
• Disadvantages
– Not good for evaluating
effect of rate shocks on
income
– Does not consider option
risk
– Difficult to explain to boards
and non-financial managers
– Measures risk but not return
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© 2013 FARIN & Associates Inc.
Duration - Teeter Totter Approach
1455
1240
1052
888745
621
0
200
400
600
800
1000
1200
1400
1600
Year
1
Year
2
Year
3
Year
4
Year
5
Year
6
NPV - Cash Flows
64
Year Cash
Flow
Pres
Value
1 1,600 1,455
2 1,500 1,240
3 1,400 1,052
4 1,300 888
5 1,200 745
6 1,100 621
Total 8,100 6,000
Analysis is for a
$6,000 loan paying 6
equal annual principal
payments plus
interest on remaining
balance at 10% rate.
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© 2013 FARIN & Associates Inc.
Duration
Period Payment NPV Wtd NPV
1 1,600 1,455 1,455
2 1,500 1,240 2,480
3 1,400 1,052 3,156
4 1,300 888 3,552
5 1,200 745 3,725
6 1,100 621 3,726
Total 8,100 6,000 18,092
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•Duration Calculation –Project Amount & Timing of
Cash Flows
–Calculate Net Present Value
of Cash Flows -
(PV = FV / (1+i)n)
• n - payment number
• i - discount rate
• PV - market value
• FV - future cash flow
–Weight NPVs by timing
(Period x NPV)
–Calculate Duration
(Wtd NPV/NPV)
Analysis is for a $6,000 loan paying 6
equal annual principal payments plus
interest on remaining balance at 10%
rate. Cash flows marked to market using
a 10% discount rate.
Duration = 18,092 / 6,000 = 3.015 Years
© 2013 FARIN & Associates Inc.
Duration To Price
66
Effect of Rate Changes on Price
$90
$95
$100
$105
$110
-3% -2% -1% 0% 1% 2% 3%
Rate Change (%)
Pri
ce
Value - SD
Chg MV = - D x Chg MR
-6.030% = -3.015 x 2%
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Option Risk Issue
67
Effect of Rate Changes on Price
$90
$95
$100
$105
$110
-3% -2% -1% 0% 1% 2% 3%
Rate Change (%)
Pri
ce
Value - SD
Chg MV = - D x Chg MR
-6.030% = -3.015 x 2%
Formula assumes these are independent variables. What if they aren‟t?
© 2013 FARIN & Associates Inc.
Option Risk
• Definition
– The risk that a party to a financial
instrument will exercise its
imbedded options causing cash
flows to vary by rate environment.
• The IRR Issue
– If cash flows cash flows vary with
rate environment analysis of IRR
is complicated – along with the
ability to hedge IRR.
• Convexity
– As a result of imbedded options,
market values track along a curve
rather than a straight line.
• Examples of Imbedded Options
– Prepayment Options in Consumer
Loans
– Annual and Lifetime Caps in ARMs
– Early Withdrawal Options In CDs
– Bump Rate CDs
– Options To Convert From ARMs to
Fixed-rate Mortgages
– Step-up Bonds
– Derivative Mortgage-Backed
Securities
– Callable Bonds and FHLB
Advances
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Option Risk
• Newly Issues 30 Yr.. FHLMC Prepay Estimates
– Note that in rising rates, prepayments decline on 4% coupon by
75% in up 2% but little change up 3%
• Moderately Seasoned 30 Yr.. FHLMC Prepay
Estimates
– Note how 4%+ coupons have slower base prepayments
– Less volatility (33% drop in up 2%) due to slower starting
levels
69
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Option Risk
70
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Convexity Risk
71
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Convexity Risk
75
85
95
105
115
125
-3% -2% -1% 0% 1% 2% 3%
MBS
Advance
72
MBS prepayments increase in falling rate environment –
shortening duration, decelerating rise in value.
MBS prepayments decrease in rising
rate environment – lengthening duration,
accelerating drop in value.
MBS D = Advance D
Rates
Duration
Duration is
Dependent on
Market rates.
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Question
• How does the data on mortgage loan
prepayments impact the cash flow projections on
a mortgage?
• Is one “shape” better than another?
73
Note the White
Pants on the
horns
© 2013 FARIN & Associates Inc.
Question
74
Interest Rate Movements
Cash
flo
w L
ife
of L
oa
n (
yrs
)
-3% -2% -1% 0 1% 2% 3%
4
6
8
10
6% Mortgage made in higher rates
4% Mortgage made @ bottom of rates
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ISSUES IN VAR ANALYSIS
Valuing Cash Flows – The Key Assumption
75
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Static Value at Risk
76
Today
Current Balance Sheet
Immediate & Permanent
Rate Shocks
Remaining life of all instruments
Horizon
In static value at risk analysis, all cash
flows over their remaining lives are
generated for every financial instrument
on the balance sheet for each rate
environment. Discount rates are then
Used to mark the cash flows to market.
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Modified Discounted Cash Flow
77
PV – Present Value FV – Future Value I – Periodic Discount Rate n – Count of Future Period
Discount Rate
A bird in the hand …
Year Cash
Flow
Pres
Value
1 1,600 1,455
2 1,500 1,240
3 1,400 1,052
4 1,300 888
5 1,200 745
6 1,100 621
Total 8,100 6,000
PV = FV (1+i)n
Static Value at Risk
1,200 / (1 + 0.1)5 = 745
(10% discount rate)
Looks the same as
Duration Calculation?
© 2013 FARIN & Associates Inc.
Keys to Value at Risk
• Elements effecting Value at Risk
– Remaining term to maturity or repricing
• Longer term = greater volatility
– Rate on similar investments vs. your rate
• Called the Discount Rate
• Greater the difference the greater the change in value
• (Your rate – discount rate) * remaining term gives you an idea of the
change in value.
• Issues impacting Value at Risk
– How do non-maturity deposits work?
• No stated maturity
• Rates don‟t change when market rates move
• Creates “Value” as offer rates LAG market rates
78
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Market Value Basics
79
SAMPLE Market Value SummaryAssets Book Value -100 bp Flat +100 bp +200 bp +300 bp
Total Cash 5,000 5,000 5,000 5,000 5,000 5,000
5 Year Bond 1,000 1,050 1,000 950 900 850
… … … … … … …
Total Investments 25000 26795 26500 25750 25000 24250
Market to Book 1.00 1.07 1.06 1.03 1.00 0.97
Mortgage-Fixed 45,000 47,275 46,500 44,265 42,850 40,975
Market to Book 1.00 1.05 1.03 0.98 0.95 0.91
Mortgages - Variable 18,750 18,850 18,775 18,750 18,595 18,495
Market to Book 1.01 1.00 1.00 0.99 0.99
Total Loans 185,000 195,545 193,450 191,133 188,563 182,258
Market to Book 1.00 1.06 1.05 1.03 1.02 0.99
Nonearning Assets 4,250 4,250 4,250 4,250 4,250 4,250
Total Assets 219,250 231,590 229,200 226,133 222,813 215,758
Market to Book 1.00 1.06 1.05 1.03 1.02 0.98
© 2013 FARIN & Associates Inc.
Market Value Basics
80
SAMPLE Market Value SummaryLiabilities Book Value -100 bp Flat +100 bp +200 bp +300 bp
Non-Interest Checking 18,000 17,575 15,000 14,375 13,295 12,750
Short Term CDs 85,000 89,828 88,500 87,173 85,845 85,181
Long Term CDs 40,000 38,330 37,950 37,191 36,432 35,294
Total CDs 125,000 128,157 126,450 124,364 122,277 120,475
Market to Book 1.00 1.03 1.01 0.99 0.98 0.96
Savings 45,000 44,255 42,750 41,932 40,028 39,195
Market to Book 1.00 0.98 0.95 0.93 0.89 0.87
MMDA 18,750 18,850 18,485 18,010 17,798 17,538
Market to Book 1 1.01 0.99 0.96 0.95 0.94
Total Non-Maturity 63,750 63,105 61,235 59,942 57,826 56,733
Market to Book 1.00 0.99 0.96 0.94 0.91 0.89
Borrowings 0 0 0 0 0 0
Equity 12,500 22,753 26,515 27,453 29,415 25,800
Total Liabilities & Equity 219,250 231,590 229,200 226,133 222,813 215,758
Equity/Assets 5.70% 9.82% 11.57% 12.14% 13.20% 11.96%
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Reading a Market Value Report
81
NPV Ratio after
200 bp shock
Interest Sensitivity Measure
0-100 bp 100-200 bp 200-400 bp Over 400 bp
Over 12% Minimal (1) Minimal (1) Minimal (1) Moderate (2)
8% to 12% Minimal (1) Minimal (1) Moderate (2) Significant (3)
4% to 8% Minimal (1) Moderate (2) Significant (3) High (4)
Below 4% Moderate (2) Significant (3) High (4) High (4)
© 2013 FARIN & Associates Inc.
Modified Discounted Cash Flow
82
PV =
PV – Present Value
FV – Future Value
i – Discount Rate
t – Time
t ( FV Cash Flows )
( 1 + i ) ∑
i - the discount rate (the rate of return that could be earned on an
investment in the financial markets with similar risk.)
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Discount Rate
• General Approach
– Assets: What is the current return for a set of similar
cash flows in today‟s market?
• When rates are higher today than our return, assets are priced
lower than “book”
– Liabilities: How much would it cost me today to
purchase similar funding?
• Combination of retail rates and wholesale rates?
• Higher costs today = lower price
• Remember lower liability prices are GOOD
– Assets = Liabilities + Equity
– Less Liability = Higher Equity
83
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Arriving At Discount Rate
• In valuing a financial instrument, you should always look
at it through the eyes of a potential acquirer who will ask:
– If I was to acquire this asset (or funding) in an alternative way,
what would I expect to earn or pay?
– Does the alternative have essentially the same risks and servicing
costs? If not, I need to adjust for the difference.
• How should Deposits be Viewed?
– EVE/NEV is an Institutional Analysis, not a customer viewpoint.
– If we value an asset based on wholesale alternatives with
adjustments, why not use the same for deposits?
84
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Valuing Financial Instruments
• Sources for Discount Rate
– What‟s the right answer for which source for the
discount rate?
– Is there a method to selecting between multiple
choices?
• Discount Rate Progressions
– Market (Wall Street) Price
– Market Proxy
– Competitive Market Average
– My Rate (Last Resort)
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Arriving At Discount Rate
• If the security or debt instrument I choose is a
less than perfect match to my deposit or
borrowing, what risks and costs might I need to
adjust for?
– Interest rate risk
– Option risk
– Credit risk
– Servicing cost
86
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Arriving At Discount Rate
• Is the valuation method fundamentally the same
for both assets and liabilities? Yes, because:
– A financial instrument is a contract, given in exchange
for cash, that calls for repayment of the cash (principal
& interest) in the future.
• It is someone‟s asset (the holder of the contract).
• And someone else‟s liability (the issuer of the contract).
– The instrument has the same value regardless of
whether you are the issuer of the contract or the holder
of the contract.
87
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Applying The Discount Rate
88
Discount Rate changes based on slope of the yield curve. Remember that as we look ahead at forecast of rates
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Arriving At Discount Rate
• General rule: When valuing a fixed-rate financial
instrument, use a yield curve when ever possible:
– It‟s how the market does it.
– It makes it much easier to value seasoned portfolios.
– Considers the slope of market rates in the time-value
calculation
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30 Yr. Mortgage Example
• 30 Yr. 60 Day Delivery Rate = 3.75%
– Average Duration: 7 Yrs.
• 7 Yr. Treasury Rate Risk = 1.0%
– Treasury = Risk Free Curve
– Duration Match accounts for Interest Rate Risk
• What is the 1.75% spread covering?
– Credit Risk
– Option Risk (Extension/Prepayment)
• Option risk less with shorter remaining terms
– Lower spread to treasury widening to 1.75% on long
end of the curve
90
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Arriving At Discount Rate
• Two 15 year FRMs, one 14 years from
maturity, the other 8 years away.
91
15 Yr FRM Cash Flows
0
200,000
400,000
600,000800,000
1,000,000
1,200,000
1,400,000
1 2 3 4 5 6 7 8 9101112131415
Year
Cash
Flo
w
0.0%
1.0%
2.0%
3.0%4.0%
5.0%
6.0%
7.0%
Yie
ld
New Loan
Old Loan
Disc Rate
Dold Dnew
© 2013 FARIN & Associates Inc.
Arriving At Discount Rate
• Does it make sense to use the same discount
rate in valuing the loan 8 years from maturity as
the loan 14 years away?
• If they were both issued at the same rate and
were valued today, which loan would be most
likely to be sold at a premium?
• Do you value a new 5 Yr. bond the same way you
value a 10 Yr. bond with 5 Yrs remaining?
92
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MAJOR ASSUMPTION AREAS
Managing the Non-Maturity Deposit Portfolio
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Two Most Crucial A/L Assumptions
• Pricing Betas – the extent
to which a change in
market rates is passed
along to deposit
customers
– Income at risk analysis
– EVE analysis
• Decay rates – The speed
at which non-maturity
deposits decay off books
over time
– EVE analysis
– Liquidity analysis
• What is the greatest
commonly expressed fear
about NMD funding?
94
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Pricing Betas & Decay Rates – Oh My!
95
OTS Core
Deposit
Assumptions
Thank
goodness
he‟s retiring
OTS was the primary source of pricing betas and decay rates for the industry
for over 25 years. The OTS NPV model was run for the last time on 12/31/11 data.
OTS assumptions were developed 30 years ago and haven‟t changed materially since.
© 2013 FARIN & Associates Inc.
Pricing Betas
• Definition – A pricing beta is an index that is used to
predict the effect of an increase in market rates on rates
paid on a product.
• For example, if market rates increase 200 bp and your
beta for MMDAs is 0.5 (50%) then the beta would predict
you will raise MMDA rates by 100 bp
200 Bp X 0.5 = 100 Bp
• Betas can be:
– SWAG‟ d
– Derived statistically from historic data.
– Examiners prefer the latter
• Betas can also be modified by use of segmentation
strategies.
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Pricing Betas – Statistical
• The Science
– Pick/plot a representative set of
market rates for dates studied.
– Plot your actual pricing on
account you are evaluating for
study dates
– Regress lines against each
other to find best fit varying
• Lags
• Betas
– From best fit take off
• Index (market rate)
• Lag
• Beta
• Spread
• The Goal
– Predict the effect of
movements in market rates on
how you will price a core
deposit account
• The Art
– Use a statistically valid set of
historical data
– Understand that this is a
modeling tool and does not
represent how the institution
actually prices
• Application
– A/L Modeling
• Income at risk
• Value at risk
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© 2013 FARIN & Associates Inc.
Pricing Betas
• For example, if market rates increase 200 bp and your
beta for MMDAs is 0.5 (50%) then the beta would predict
you will raise MMDA rates by 100 bp
200 Bp X 0.5 = 100 Bp
• Betas can be:
– SWAG‟ d
– Derived statistically from historic data.
– Examiners prefer the latter
• Betas can also be modified by use of segmentation
strategies.
98
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Modeling Non-Maturity Accounts
• Rate projections in many ALM Models
– Assume a relationship between market rate
movements and offer rate
• For every 1% change in Short-Term Treasury offer rate moves
by .25% with a 3 month lag
• Some use a direct formula between long-term treasury rates
and offer rate
– Correlations are statistically low and offer little bearing on reality
– Use of long-term rate is to see stability usually found in share
accounts
– Some change formula for rates up/down
99
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Importance of Offer Rate Paid
• Example $200 Million Passbook Account
• Rate paid in +200 impacts equity by $7.6 million.
(181,619 – 173,993)
• With less volatile liabilities, what strategies are possible
for asset mix?
Rate Paid Formula -200 bp Flat Rates +200 bp
50% Change in Offer Rate for
1% Change in Treasury Rate
196,030,129
Price = 97.11
187,585,268
Price = 92.93
181,619,164
Price = 89.97
Formula that steps rates when
Fed Funds changes & max
rate of .75%
194,727,952
Price = 96.46
186,217,771
Price = 92.25
173,993,975
Price = 86.19
100
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MMDA vs. Market Rates
101
Q. Which of these market rate trends looks most like our MMDA pricing (dark blue line)?
A. None
Why?
• We don‟t move MMDAs by full change in market rates, and
• Deposit rate changes lag behind movements in market rates
Volatility
Lag
© 2013 FARIN & Associates Inc.
MMDA vs. Market Rates
102
What we want to learn
• Which market rate gives us the best fit (correlation)
• How many months of lag gives us the best fit to the market rate (lag)
• What % of the change in market rates gets passed along to the depositor (beta)
• What is the starting spread between the market rate and the deposit account rate (spread)
These are all current inputs to your A/L model !!!!
Volatility
Lag
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MMDA vs. 2 Year Treasury
103
Steps:
1. 2 year Treasury is best fit
2. Lagging 5 months matches timing of rate moves (red line) – too volatile
3. Lagging 5 months with 0.53 beta matches timing and volatility (green line)
© 2013 FARIN & Associates Inc.
MMDA vs. 2 Year Treasury
104
Steps:
1. 2 year Treasury is best fit
2. Lagging 5 months matches timing of rate moves
3. Lagging 5 months with 0.53 beta matches timing and volatility (red line)
4. Setting spread = -0.828% lays lines on top of each other (green line)
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Pricing Beta Conclusions
• Applications
– A/L Modeling
• Income at Risk
• Value at Risk (core deposit
intangible)
– Branch Valuation
• Credibility Issues
– Do you really price MMDAs
off 2 year Treasury?
– What issues rise when
historical betas are used to
predict the future?
• Betas affected by
– Growth/Shrinkage
Strategies
– Tier Structure – Betas for
different tiers will be
different
– Segmentation Strategies
• Account Groupings
– Consumer Preferences
– Competitive/economic
environment
• Betas Apply to
– Non-maturity deposits,
– But also to CDs
105
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Modeling Non-Maturity Deposits
• If you can prove no direct correlation in rate movement to
market rates, then…
• …how long do non-rate sensitive funds stay with you?
– Many have contracted to perform Core Deposit Study.
– Some Use Regulatory approaches
– Some Assume no long-term funding
• Thoughts for modeling:
– If you practice proper pricing using tiers, does that change the
assumption used on each tier versus an average?
– How are the changing market demographics likely to impact the
future portfolio of non-maturity accounts?
106
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Modeling Non-Maturity Deposits
• If you can prove no direct correlation in rate movement to
market rates, then…
• …how long do non-rate sensitive funds stay with you?
– Many have contracted to perform Core Deposit Study.
– Some Use Regulatory approaches
– Some Assume no long-term funding
• Thoughts for modeling:
– If you practice proper pricing using tiers, does that change the
assumption used on each tier versus an average?
– How are the changing market demographics likely to impact the
future portfolio of non-maturity accounts?
107
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Cash Flow Decay Rates
• The Science
– Pick a grouping of non-maturity
deposit accounts at an
appropriate level of
aggregation
– Plot runoffs that occurred to a
set of accounts over the study
period.
– Separate normal from
„abnormal runoff or growth‟
– Calculate decay rate for normal
runoff
– Calculate decay rate for
abnormal balances
– Use decay rates to generate
potential cash flows.
• The Goal
– Predict the cash flows coming
off a pool of non-maturity
deposits (the term)
• The Art
– Use a statistically valid set of
historical data
– Pick a time frame covering at
least ½ of a rate cycle
• Application
– A/L Modeling
• Income at risk
• Value at risk
108
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Decay Rates
109
Surge Balance Burnout Truncation
Assumption: 20% of balances are surge balances
© 2013 FARIN & Associates Inc.
Impact – One Customer
110
Higher NPVs under all rate environments and increased asset sensitivity due to:
• Increased duration of NMDs (lower decay rates)
• Higher spreads to benchmarks (higher average benchmark cost
Question – “Can we develop pricing strategies that reduce pricing betas and
slow decay rates?
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What Should You Do?
1. Get a handle on how your
deposits actually behave
(core funding study)
– Betas – CDs and NMDs
– Decay Rates – NMDs
2. Develop your core funding
strategy for rising rates
– Product introductions
– Pricing strategies
3. Model your business plan
interest rate risk given
– Behaviors from study
– Core funding strategy for rising
rates
4. Evaluate your interest rate risk
based on modeling performed
in previous step. If you find:
– Significant asset sensitivity –
extend assets and shorten
term funding
– Neutral to moderate – you are
set – tune a bit if you like
– Significant liability sensitivity –
lengthen liabilities and shorten
assets
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What Should You Do?
5. Define the role Non-Core Funding plays in your business plan
– As a benchmark tool for making pricing decisions
• FHLB Advances were used extensively in my presentation as benchmarks in
determining whether deposits were well or poorly priced. They were also
used as discount rates in market value calculations.
– As a structural tool – to cost-effectively mitigate interest rate risk
• When using non-core funding as a structural tool, it is very helpful to be able
show examiners modeling results that support its use as an interest rate risk
management tool.
– As a profitability enhancement tool – when non-core funding is
significantly cheaper than core
• When using non-core funding for this purpose it is important you document the
analysis to support the use of non-core funding as a substitute for core.
– As a contingent funding tool – for dealing with liquidity stress events.
112
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Key Assumptions Summary
• Institutions with large balances
of non-maturity deposits must
understand their behaviors
– Account pricing actions
(Institution‟s option)
– Customer actions
(customer option)
• These funds may represent a
hedge on longer term asset
risks if history repeats
• Demographics are shifting
which may change the core life
of new account holders
• Tier rate programs and
introduction of premium
accounts can skew decay rates
• Discount rate assumptions are
a critical component to value at
risk calculation and should:
– Reflect true market rates for
instrument being valued
– Be based on a curve rather
than a single point when
possible
– NOT be your offering rate
unless you are the only one to
offer the product
113
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EVE POLICY CONSIDERATIONS
Managing EVE
114
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ALCO Policy Establishing EVE/NEV Limits
• Original Guidance Came From OTS TB-13a NPV
IRR Guidelines
– http://www.ots.treas.gov/bltn_thrift.html
– Pick TB-13a – Final from list
• Limits Were Based On Two Factors
– An institution‟s level of market value risk as measured
by EVE Ratio
• More Risk (Lower EVE Ratio), Less Room in the Limit
• Less Risk (Higher EVE Ratio), More Room for Risk OK
– The quality of its practices for measuring market risk
• Do they have a good measurement system
• Do they Understand their measurement system and risks
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Value At Risk Limits
• Measured Post Shock EVE Ratio – Found Lowest
Level of EVE/NEV Ratio for a +/- 2% shock
• Compared the change in the Ratio from Flat to the
Decline and limited the amount it could decline
Post-Shock
NPV Ratio
Interest Sensitivity Measure
0-100 bp 100-200 bp 200-400 bp Over 400 bp
Over 10% Minimal (1) Minimal (1) Minimal (1) Moderate (2)
6% to 10% Minimal (1) Minimal (1) Moderate (2) Significant (3)
4% to 6% Minimal (1) Moderate (2) Significant (3) High (4)
Below 4% Moderate (2) Significant (3) High (4) High (4)
116
OTS guideline for S in CAMELS
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EVE Policy Limit Conversion
• FDIC, OCC and NCUA prefer limits be set with % change
in equity values
– Less effective as this fails to consider HOW MUCH capital
remains, only looks at VOLATILITY
• Below is an example that could be used to express OTS
Table in % change limits
– Assumes Current EVE ratio (Flat Rates) of 12%
117
Example of OTS TB 13 A Limits Converted to % Change for OCC
For a +2/-2% shock Green Yellow Red
After Shock EVE Ratio > 10% and the % change in EVE
ratio is: <= 40% of Base EVE Ratio 40-60% of Base EVE Ratio > 60% of Base EVE Ratio
After Shock EVE Ratio < 10% but >= 6% and the %
change in EVE ratio is: <= 25% of Base EVE Ratio 25-50% of Base EVE Ratio > 50% of Base EVE Ratio
After Shock EVE Ratio < 6% but >= 4% and the % change
in EVE ratio is: <= 15% of Base EVE Ratio 15-30% of Base EVE Ratio > 30% of Base EVE Ratio
After Shock EVE Ratio is < 4% and the % change in EVE
ratio is: <= 10% of Base EVE Ratio 10-25% of Base EVE Ratio > 25% of Base EVE Ratio
© 2013 FARIN & Associates Inc.
Combined S Ratings Guidelines
118
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Subjective Portion of Rating Quality of Institution’s Practices
• Oversight by board and senior
management.
• Prudence of limits – do they
allow institution to have
sensitivity that would merit a 3
rating or higher?
• Adherence to limits –
exceptions, have limits been
broadened to bring institution
into compliance?
• Quality of system for measuring
NPV sensitivity.
• Quality of system for measuring
earnings sensitivity.
• Integration of risk management
with decision making.
• Investments and derivatives –
policies and procedures.
• Size, complexity, and risk
profile – is risk measurement
system of appropriate
capability?
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Measuring Risk in Today‟s World • New Guidance requires a minimum of 2 year horizon for
earnings at risk
– Many risks are hidden in 1 year forecasts
– Should be at least a 2 year look into future
• Allows for Dynamic Balance Sheet
– But requires a Static View as well for now
• Requires a Current EVE/NEV to assess long term
mismatch in earnings
– Misses impact of strategies to manage other risks
• Mentions EVE/NEV as a Dynamic tool to capture long-
term risks in short term solutions but not required
– How would you treat me if I said “Let‟s buy long term assets and
fund with short liabilities…”
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DYNAMIC EVE
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Dynamic Value at Risk
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Today
Current balance sheet and forecast balance sheet are the different
reflecting the effect of the plan or strategy.
Rate shocks.
Typically 2-3 Years
Horizon
A dynamic value at risk analysis uses the
same approach as a static value at risk
analysis except it is performed on the
balance sheet that exists at the end rather
than the beginning of the planning horizon.
Expected rate
environment
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Dynamic Value at Risk (VAR)
• Calculation Technique
– Run a computer simulation run of one or more management strategies in a single rate environment.
– Run a VAR Test on forecast balance sheet
• Application In IRR Management
– Used to evaluate effect of a strategy on future VAR.
– Only effective way to test the long-term effect of changes in rates on a strategy.
– Can be used as tool in comparing risk-return tradeoffs of alternative strategies.
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Rate
s
Rate
s
Rate
s
Time
Time
Time
Today 2-3 Years
Static
VAR
Dynamic
IAR
Dynamic
VAR
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Dynamic EVE
• The typical EVE run on a
current balance sheet
shows mismatch of what is
owned/owed today
• Looking out 1 Yr.. at new
balance sheet AND potential
new interest rates provides a
look at what MIGHT happen
if we continue to follow our
plan
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Dynamic EVE
• Provides an answer to potential long-term
earnings concerns often missed by short-term
income simulation alone.
• Allows for a look at what the Current EVE might
look like if they follow their planned course.
• It is critical that in using Dynamic EVE, the
projected interest rates used represent the
realistic possibilities (stressed but real) to test
both income and potential EVE
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Summary
• EVE/NEV is a critical measurement for ALCO to
incorporate
– Captures full horizon of risk
– Expected by examiners more than ever
• Use EVE/NEV as a decision making tool on
potential strategies
– Acts a an early warning indicator
– Helps weed out “Quick Fix” ideas
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Summary
• EVE/NEV Assumptions & calculations must be
understood and appropriate
– Core Deposit Assumptions
• Pricing response in rate changes
• Assumed average life/duration/decay
– Discount Rate Methodology
• Defensible for your underwriting
• Consistent with your approach to pricing
– Optionality sources
• Prepay speeds
• Callable assumptions
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Summary
• Commit to education for Board and ALCO on
appropriate use of EVE/NEV
• Incorporate EVE/NEV with Earnings at Risk and
other ALCO risks to assess risk/return
opportunities as well as risk/risk scenarios
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INCOME & VALUE @ RISK
Forecast Value @ Risk with Income @ Risk
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Using ALCO for Decision Making
• ALCO is charged with managing many competing
risks
– Interest Rate Risk
– Liquidity Risk
– Capital Risk
– Credit Risk
• Effective ALCO‟s manage the relationship
between these risks and prioritize goals
• Develop plans that achieve trade-offs in risks
versus return
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Using ALCO for Decision Making
Example:
• Current earnings levels
are too low
• Capital levels are OK, but
under pressure to
increase
• Income & value at risk in
compliance with board
policy (interest rate risk)
• Highly liquid
ALCO Question:
• How do we increase
earnings and capital
without moving outside
board established policy
limits?
Approach:
• Develop scenarios and
run in simulation model to
assess risk vs. return
tradeoff
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Combining Earnings and Forecast EVE
• Note that the difference
in Earnings at Risk
from Static (Red) to
Dynamic (Blue)
has a major impact on
ALCO decision
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Combining Earnings and Forecast EVE
• Current EVE Ratio (Red Line) shows sufficient EVE under
all shocks
• No big changes in EVE in Today‟s balance sheet
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Combining Earnings and Forecast EVE
• EVE Ratios for 1 Yr. (bars) and 2 Yr. (Lines) Calculated under all 3
Projected Rate Forecasts
• All Ratios Still Above Policy Levels
• No major risks building into the institution from rates or terms in plan
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Combining Earnings and Forecast EVE
• % Change in EVE Ratios for 1 Yr.. (bars) and 2 Yr.. (Lines) show that
over 1 Yr.. size of bet is increasing to yellow risk level
• Decreases back to Green un Yr.. 2
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Using ALCO for Making Decisions
CAMEL Component Ratio Base Plan Strategy 1 Strategy 2Core capital
Ratio 8.25% 8.31% 8.65%
Tier 1 Leverage8.25% 8.31% 8.65%
Risk Based
Capital 11.35% 12.07% 12.33%
Earnings ROA-0.30% 0.55% 0.80%
Income at Risk-10.55% -18.50% -25.50%
Current EVEMinimal Minimal Minimal
Forecast EVEMinimal Minimal Moderate
Liquidity Gap
Ratio - Base 18.38% 14.55% 12.25%
Liquidity Gap
Ratio - Stressed 10.75% 1.85% -2.50%
LCR Ratio107.85% 102.23% 98.75%
Non-Core
Funding/Assets 20.15% 25.75% 33.45%
Interest Rate Risk
Liquidity Risk
Capital Risk
Risk/Return Risk/Risk Decision Matrix 1 YR Forecast
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Strategy Comparison
• Strategy 1 increased ROA to positive levels but
below targets. Capital ratios improve but liquidity
levels and income at risk levels worsen
• Strategy 2 improves earnings more than 1 but
income at risk levels outside board levels and
liquidity drops too far under board ranges
• This layout of results helps all to see the real cost
of any ideas under consideration.
• No Risk, No Return!
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Putting the session to work
• Validate the projected
cash flows in your ALM
model
– Garbage in, garbage out
• Review critical data
elements
– Maturity/Balloon & Call
Dates
– Floors, repricing margins,
index
• Review key ALCO
assumptions
– Growth in balances and mix
– Rates paid on Non-maturity
accounts
• Add “Severe & Plausible”
rate movements
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