Interest Rate Modeling With Random Regimes -...
Transcript of Interest Rate Modeling With Random Regimes -...
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Interest Rate Modeling With Random Regimes
James G. Bridgeman FSA CERA MAAAUniversity of Connecticut
Actuaries Club of Hartford-Spring�eld
May 21, 2014
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INTERWOVEN THEMES AND HISTORY
INTEREST RATES
STRESS TESTING
MODELS
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FACTUAL HISTORY
20 Year U.S. Treasury Rates
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ANECDOTAL HISTORY
1974: Guaranteed Income Contracts in the Group Pension Market
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ANECDOTAL HISTORY
Early 1978: 12% Will Bring Blood In the Streets
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ANECDOTAL HISTORY
February 1980: It Didn�t; October 1981: Even 15.13% Didn�t
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ANECDOTAL HISTORY
FAILURE TO "SEE" A PLAUSIBILITYWAS CATASTROPHIC FOR INSURERS
One Of The Largest Was Bankrupted
An Acquisition Disguised The Fact
At Least One Of The Largest Visited The Fed
... For A "Maybe, What If?" DiscussionTurned Out To Be Unecessary
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FACTUAL HISTORY
Saving Grace: Double-Digit Rates Only Lasted For 6 Years
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ANECDOTAL HISTORY 1978-1980
SET TODAY�S STAGE
Dynamic Valuation Interest Rates
Asset Adequacy Analysis
Appointed Valuation Actuary
Principles-Based Discussion Began
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ANECDOTAL HISTORY
January 1993: The Fed Won�t Tolerate Long Rates Below 4%
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ANECDOTAL HISTORY
January 1999: Maybe They Will, But That�s What RBC Is For
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ANECDOTAL HISTORY
January 2003: No, That�s What Asset Adequacy Reserves Are For
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FACTUAL HISTORY ~ FUTURE QUESTION
December 2008:How Long Under 4%?; June 2011: Measured From When?
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The Concept of Stress-Testing
STRESS-TESTING CAN APPLY TOReserves
Asset Adequacy TestingRisk Management for Product/Line of Business
SurplusRisk Based CapitalEmbedded Value
Economic CapitalBasel II (III, etc.)Own Solvency and Risk
Enterprise Risk Management
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The Concept of Stress-Testing
STRESS-TESTING IS NOT
A BY-PRODUCT OF FORECASTING
Forecasting Looks For Most Likely Outcomes
Maybe Within A Con�dence Band
Forecasting Supports Current Decision-Making
Forecasting Will Be Judged By Actual Accuracy
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The Concept of Stress-Testing
STRESS-TESTING IS NOT
A BY-PRODUCT OF PRICING
Pricing Looks For Expected Values
Usually With Reasonable Variance Bounds
Pricing Supports Product Portfolio Development
Pricing Will Be Judged By Average Accuracy
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The Concept of Stress-Testing
STRESS-TESTING IS
A SEPARATE, DISTINCT DISCIPLINEOne That Looks For Extreme Values
Beyond Reasonable Variance or Con�dence
But Within The Realm Of Plausibility ( ??? )
....(any fool can assume that the sky will fall)
One That Supports Institutional Resilience
One That Will Be Judged By "No Surprises"
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The Concept of Stress-Testing
STRESS-TESTING REQUIRESTruly Severe Values
Threats To SurvivalFirm Not Providing Value If These Are Not "In Sight"?...(Or Maybe We�re Not "Seeing" Very Well?)
On Both Extremes
That Are Somehow Still PlausibleBy What Standard?
History?: at a minimumTheory?: maybeJudgment?: be very wary of setting a maximum
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The Concept of Stress-Testing
STRESS-TESTING CAN / SHOULD IGNOREAccuracy
Around Likely Or Expected Scenarios
Current Wisdom & JudgmentAbout Variance And Con�dence Bands
The Arbitrage-Free ShibbolethIf Someone Couldn�t Get Rich Is It Truly Extreme?But Do Preserve Both Extremes
Risk-Neutral ModelingRisk-Neutral Models Predict Today�s PricesRisk-Neutral Distributions Are Make-Believe
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Deterministic Stress-Testing
Deterministic Interest Scenarios
Necessary But Maybe Not Su¢ cient
Risk That It�s Limited By Current Imagination
"There Would Be Blood In The Streets"
Risk That It�s Limited By Historical Extremes
But If It Already Happened Isn�t Worse Plausible?
How Do We Know How Bad Is Bad Enough?
Yet Still Plausible
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Back To The Anecdotes - 1978
12% Exceeded The Bounds Of Both History And Imagination
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Back To The Anecdotes - 1978 To 1980/81
Imagination and History Were Not Nearly Enough
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Deterministic Stress-Testing
Deterministic Interest ScenariosNecessary But Maybe Not Su¢ cient
Risk They Are Limited By Current Imagination"There Would Be Blood In The Streets"
Risk They Are Limited By Historical ExtremesBut If It Already Happened Isn�t Worse Plausible?
How Do We Know How Bad Is Bad Enough?Yet Still PlausibleOR HOW LONG IS LONG ENOUGH? (Plausibly)
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FACTUAL HISTORY
Remember: Double-Digit Rates Only Lasted For 6 Years
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Back To The Anecdotes - 1990�s
Japan Told Us That < 2% or 3% Deterministic Was Plausible
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Back To The Anecdotes - Flash-Forward
So 2008 &12 Were Not A "Surprise" For The Deterministic Stress-Test
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Back To The Anecdotes - 1990�s
BUT FOR HOW LONG < 2% or 3% ?Forever?: Not Plausible(Remember 6 Years Of Double-Digit Rates?
5 - 10 Ten Years?: Maybe Not Severe Enough?
We Finally Resorted To Random Scenarios
De�nitely A Last ResortWe�d Seen Too Much Abuse of Stochastic ModelsThey Only Give Back What You Put In
But Hard To Recognize Own Input Coming Back At YouNo-Arbitrage and Risk-Neutral All The Rage
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOS
The Extreme Scenarios Will Be The Stress-TestSo Risk-Neutral And Arbitrage-Free Are Irrelevant
Start With A Model For An Anchor Rate20 Year TreasuryBuild A Yield Curve O¤ That Later
ChoicesPure Dispersion (Random Walk)
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The Choices Pictorially
PURE DISPERSION �RANDOM WALK � IMPLAUSIBLE∆ lnRatet = Gaussian∆
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOS
The Extreme Scenarios Will Be The Stress-TestSo Risk-Neutral And Arbitrage-Free Are Irrelevant
Start With A Model For An Anchor Rate20 Year TreasuryBuild A Yield Curve O¤ That Later
ChoicesPure Dispersion (Random Walk) ... Implausible
Introduce A Mean Reversion Point (MRP)
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The Choices Pictorially
INTRODUCE A MEAN REVERSION POINT (MRP)∆ lnRatet = F � (MRP � lnRatet�1) + (1� F ) � Gaussian∆
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOSThe Extreme Scenarios Will Be The Stress-Test
So Risk-Neutral And Arbitrage-Free Are Irrelevant
Start With A Model For An Anchor Rate20 Year TreasuryBuild A Yield Curve O¤ That Later
ChoicesPure Dispersion (Random Walk) ... ImplausibleIntroduce A Mean Reversion Point (MRP)
Which One (MRP) and How Fast (F)?Any Choices Eliminate Some Historical Extremes �(Either Level Extremes &/Or "How Long?" Extremes)AAA Generator Chose This (And Eliminated Both)
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOS
More ChoicesIntroduce More Than One MRP (Regimes)
Switch O¤ Among Them (Somehow Randomly)
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The Choices Pictorially
INTRODUCE MORE THAN ONE MRP (REGIMES)∆ lnRatet = F � (MRPi � lnRatet�1) + (1� F ) � Gaussian∆i = 1,2 deterministic when regime switch randomly occurs
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOS
More ChoicesIntroduce More Than One MRP (Regimes)
Switch O¤ Among Them (Somehow Randomly)
How Many? At What Levels? With What Frequency?Assumptions & Output Both Look Arti�cialLittle Or No Guidance From Interest Rate History... (How much worse than 15% / 2% is plausible?)
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOS
More ChoicesIntroduce More Than One MRP (Regimes)
Switch O¤ Among Them (Somehow Randomly)
How Many? At What Levels? With What Frequency?Assumptions & Output Both Look Arti�cialLittle Or No Guidance From Interest Rate History... (How much worse than 15% / 2% is plausible?
Introduce A Random Field Of MRPs (Regimes)
Switch O¤ Among Them (Somehow Randomly)
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The Choices Pictorially
INTRODUCE A RANDOM FIELD OF MRPs (REGIMES)∆ lnRatet = F � (MRPt � lnRatet�1) + (1� F ) � Gaussian∆
MRPt random when regime switch randomly occurs
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Random Stress-Testing
RANDOM INTEREST RATE SCENARIOSMore Choices
Introduce More Than One MRP (Regimes)Switch O¤ Among Them (Somehow Randomly)How Many? At What Levels? With What Frequency?Assumptions & Output Both Look Arti�cialLittle Or No Guidance From Interest Rate History... (How much worse than 15% / 2% is plausible?
Introduce A Random Field Of MRPs (Regimes)Switch O¤ Among Them (Somehow Randomly)
Output Starts To Look Very Natural / Assumptions(??)Historical Extremes Fit Right InWe Chose This One �Parameters A Challenge
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History of 20 Year US Treasury Rate
Plausible By De�nition
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M�ly %-iles Apr.2013 AAA Generator (NAIC MRP 4.25%)
Neither Early 80�s Nor Japan Are Remotely Plausible In AAA
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M�ly %-iles Dec.2013 AAA Generator (NAIC MRP 4.00%)
Update To New MRP Makes It Worse Even With Higher Starting Rate
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99%-ile Scenario: Dec.2013 AAA (NAIC MRP 4.00%)
No One Scenario Hugs The Bottom �Here�s 99% Cumulative < 4% Run
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M�ly %-iles Dec.2013 AAA Generator (AAA MRP 4.75%)
AAA�s Recommended MRP Helps A Little, But Loses At The Bottom
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M�ly %-iles Randomized MRPs / Apr. 1953 Start
Extreme Enough To Envelop History �But Still Plausible
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M�ly %-iles Randomized MRPs / Dec. 2013 Start
Starts Higher But Still Has Similar Range Of Plausibilities
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99%-ile Scenario: Randomized MRPs/Dec. 2013 Start
And Model Design Has Not Automatically Ruled Out Bottom-Hugging
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Randomized MRP vs AAA (with AAA 4.75% MRP)
The High-Rate Risk Is Captured Much Better
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Calibration Of The Randomized MRP Model
FROM 1994 TO 2006:� A LOT OF TRIAL & ERROR
SINCE THEN:� SOME ATTEMPT AT SCIENCE
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Calibration Of The Randomized MRP Model
Historical Regimes �Derived From A Filtering Procedure
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Calibration Of The Randomized MRP Model
WAITING TIME TO REGIME SWITCH
The MLE Gamma Distribution On HistoricalOnly 8 Data Points
Alpha = 3.52; Beta = 2.32Mean = Alpha times Beta = 8.2 Years
Alpha And Beta Low Con�dence Separately
Mean Is Really What A¤ects Model Output Anyway
Interesting That Mean = US Political Cycle
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Calibration Of The Randomized MRP Model
DISTRIBUTION OF MRP
Assume Lognormal - Mutually Independent
REVERSION SPEED
Set Jointly With The Lognormal Parameters
To Get Best Fit With Moments Of Historical Rates
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Calibration Of The Randomized MRP Model
Rate Levels and Spread Align With History61 Year Model ModelHistory Mean StdDev
Rate = 20 Year TreasuryRate Mean .0631 .0638 .0131Rate StdDev .0266 .0266 .0109Rate Kurtosis (normal=3) 3.54 2.92 1.24Rate 6th-osis (normal=15) 21.7 15.5 19.3(6th Ctrl Mom/StdDev^6)
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Calibration Of The Randomized MRP Model
VOLATILITY OF INTEREST RATES
History Is Not Clearly Lognormal
We Fit A Three Parameter DiGeneralized GammaUsing L1 & L2 Distances Of CumulativeDisributions
Essentially As Good As AAA Generator
Which Fits Historical Volatility Very Well IndeedUsing Stochastic Volatility & Yield CurveDynamics
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With Thanks To
Many Generations of Actuarial StudentsAt Aetna Life Insurance CompanyAt AnTai Life Insurance Company (in Taiwan)At Aetna International Inc.
Many Generations of UConn StudentsMaster�s In Mathematics, conc. Actuarial ScienceMaster�s In Applied Financial Mathematics
Most RecentlySongchen (Darren) ZhangZepeng (Ben) XieXuezhi (Kevin) ZhangNyan Paing Tin
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