Economic Capital and Diversification at Group Level

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Transcription:

Economic Capital and Diversification at Group Level Shaun Wang Georgia State University ERM-II Scientific Director

Outline. Identify the Issue Group Diversification Solvency II, CRO Forum, IASB 2. Mathematical Measurement Tail Correlation Default correlation 3. Strategic Risk Diversification Analysis of Business model Costs and the Benefits 2

Capital Defines the Capacity for doing business Small man lifts light weight Big man lifts heavy weight 3

Capital defines Maneuver Room: don t hit the wall! 4

Solvency II, Pillar I. Financial and Capital Requirements Principle based, rather than rule-based Economic value based approach -year time horizon, however, valuation reflects future multi-year time horizon Diversification across risks and risk mitigation Encourage development of internal risk model 5

Best Est Liability Market Value of Assets Market Value of Liabilities Available Capital Market-Consistent Valuations Assets Liabilities Excess Capital Minimal Capital Requirement Market Value Margin Ladder MCR MVM SCR: =Solvency Capital Requirement 6

Three Tiers of Protection 3,00 2,50 MVM 2,00,50 MCR 2 * MVM 2,58,00 SCR 2 * MCR 0,50 0,67,28 4 * MVM - - Mean MVM (75%) MCR (90%) SCR (99.5%) Multiple of Sigma 7

4 Levels of Diversification Level -- Within risk types Level 2- - Across risk types Level 3 -- Across entities, within a given geography Level 4 -- Across geographies or jurisdictions 8

The Issue How to reflect diversification across legal entities? 9

CRO Forum Finding #: Ignoring diversification produces deadweight cost 0

CRO Forum Finding #2 Current regulatory solvency approaches for insurance do not adequately take diversification into account, and there are inconsistent approaches across jurisdictions. As a result, capital becomes trapped in entities where diversification is not recognised, which leads to competitive distortions and a deadweight loss to consumers. Moreover, it weakens the incentives for good risk management practices.

CRO Forum Finding #3: Capital mobility and risk transfer should be recognised Solo Entity level The diversification effects within that solo entity The formalised support provided by transferability of capital between a Group and the solo entity, or an external party and the solo entity Insurance Group Level Assessed separately The diversification effects specific to that Group, taking any constraints to capital mobility into account The capital implications of both Group legal structure and any intra-group agreements 2

IASB Position on Risk Margin of Insurance Liabilities. Current exit value should be independent of the entity that holds the asset or liability. 2. Risk margins should be determined for each portfolio in isolation and should not consider diversification between portfolios. 3

Different Views of Supervision of Insurance Groups View # View #2 Treat an insurance group as a single economic entity Risks can be pooled and diversified. Treat the group as a collection of legal entities Risks are segregated at local legal entity level 4

UK FSA View on Supervision of groups Subsidiaries within a group should not be required locally to hold capital in excess of MCR. Rather, capital in excess of the MCR may be held at group level, for the benefit of subsidiaries. The group supervisor oversees the group s guarantee of its subsidiaries, as well as meeting its SCR and Pillar 2 requirements. 5

Solvency II Parameters Minimal Capital Requirement vs. Solvency Capital Requirement Level 2 Correlation Matrix MCR does not have Default Market Default Life Health NonLife Threshold Multiple Market 00% 25% 25% 25% 25% MCR 90%.28 SCR 99.5% 2.58 Default 25% 00% 25% 25% 50% Life 25% 25% 00% 25% 0% Health 25% 25% 25% 00% 0% NonLife 25% 50% 0% 0% 00% 6

Level -- Market Risk Aggregation for SCR Interest Rate Equity Property Spread Concentration Foreign Exchange Interest Rate 00% 0% 50% 25% 0% 25% Equity 0% 00% 75% 25% 0% 25% Property 50% 75% 00% 25% 0% 25% Spread 25% 25% 25% 00% 0% 25% Concentration 0% 0% 0% 0% 00% 0% Foreign Exchange 25% 25% 25% 25% 0% 00% 7

Level -- Life Insurance Risk Correlation (for SCR) Life.Corr Mortality Longevity Disability Lapse Expenses Revision CAT Mortality 00% 0% 50% 0% 25% 0% 0% Longevity 0% 00% 0% 25% 25% 25% 0% Disability 50% 0% 00% 0% 50% 0% 0% Lapse 0% 25% 0% 00% 50% 0% 0% Expenses 25% 25% 50% 50% 00% 25% 0% Revision 0% 25% 0% 0% 25% 00% 0% CAT 0% 0% 0% 0% 0% 0% 00% 8

Level -- Non-Life Correlation Matrix (for SCR) Fire and Accident Motor, Marine, Credit Worker Motor, other Thirdparty expense Assistanc eous non- Legal Miscellan Complem and third aviation and NP reins NP reins NP reins compensa other damage entary health/def party and suretyshi property casualty MAT tion classes to liability s e life health ault liability transport p property insurance SCR.NonLife.Corr Worker compensation 00% 50% 50% 25% 25% 25% 25% 50% 25% 50% 25% 50% 25% 25% 25% Complementary health 50% 00% 50% 25% 25% 25% 25% 25% 25% 25% 25% 50% 25% 25% 25% Accident and health/default 50% 50% 00% 25% 25% 25% 25% 25% 25% 50% 25% 50% 25% 25% 25% Motor, third party liability 25% 25% 25% 00% 50% 50% 25% 50% 25% 50% 25% 50% 25% 25% 25% Motor, other classes 25% 25% 25% 50% 00% 25% 25% 25% 25% 50% 50% 50% 25% 25% 25% Marine, aviation and transport 25% 25% 25% 50% 25% 00% 25% 25% 25% 25% 50% 50% 25% 25% 50% Fire and other damage to property 25% 25% 25% 25% 25% 25% 00% 25% 25% 25% 50% 50% 50% 25% 50% Third-party liability 50% 25% 25% 50% 25% 25% 25% 00% 50% 50% 25% 50% 25% 50% 25% Credit and suretyship 25% 25% 25% 25% 25% 25% 25% 50% 00% 50% 25% 50% 25% 50% 25% Legal expenses 50% 25% 50% 50% 50% 25% 25% 50% 50% 00% 25% 50% 25% 50% 25% Assistance 25% 25% 25% 25% 50% 50% 50% 25% 25% 25% 00% 50% 50% 25% 25% Miscellaneous nonlife insurance 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 00% 25% 25% 50% NP reins property 25% 25% 25% 25% 25% 25% 50% 25% 25% 25% 50% 25% 00% 25% 25% NP reins casualty 25% 25% 25% 25% 25% 25% 25% 50% 50% 50% 25% 25% 25% 00% 25% NP reins MAT 25% 25% 25% 25% 25% 50% 50% 25% 25% 25% 25% 50% 25% 25% 00% 9

Volatility Ranking Correlation between daily Stock Return and Stock Volatility Copula for S&P 500 (Return, Volatility) Highest volatility & Worse return 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0. 0 0 0. 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Return Ranking

Consider Two Bernoulli Risks Risk A: Pr{A=}=p, Pr{A=0}= p. Risk B: Pr{A=}=p 2, Pr{A=0}= p 2. E[AB] = Pr{A=, B=} = p 2 Cov[A,B] = E[AB] E[A] *E[B] = p 2 p *p 2. 2

Define Default Correlation E[A]= p, [A]= sqrt(p *(-p )) E[B]= p2, [B]= sqrt(p2 *(-p2 )) D p p 2 p p ( p) p2 ( p2 ) 2 The key quantity here is p 2, which depends on joint tail probability 22

Definitions of Tail Dependence ) Frey /McNeil/ Nyfeler tail correlation lim 0 Pr X F ( ) X 2 F 2 ( ) 0 p ( ) Pr X F ( ), X F 2 2 2) Venter s tail correlation 2 ( ) p ( ) Pr X F ( ), X F ( ) L( ) 2 2 2 2 23

I Propose Definition of Corner Correlation Joint tail probability at corner [0, ) x [0, ) implies Tail Correlation ( ) by solving p 2 ( ) 2 ( ), ( ); ( ) We can define this Tail Correlation ( ) for the four corners 24

4 Corner Correlations as compared to average linear correlation Corner "Rank" Correlations between "GM" and "GE" daily stock returns 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.7-0.8 0.6-0.7 0.5-0.6 0.4-0.5 0.3-0.4 0.2-0.3 0.-0.2 0-0. 0. 2 GE Return 3 4 S S2 S3 GM Return 0 S4 25

00 % confidence interval for correlation coefficient ρ r xy n j ( x ( n j ) x)( y s x j s y y) FISHER ln 2 r z 3, ln 2 xy 2 xy 2 r xy n FISHER r r xy z n 3 FISHER z z 2 sinh( x) e e e ( x) tanh( z) z z 2 cosh( x) e e e z z z 2 2 26

Confidence Bands of Correlation * FISHER FISHER ( ) n 3 2 C o rrelatio n C o nfid en ce In tervals 95% C o n fid en ce In terval, sam p le size=5 0.8 0.6 0.4 rh o u ppe r rho * lo w er rho * 0.2 0-0.2 - -0.8-0.6-0.4-0.2 0 0.2 0.4 0.6 0.8-0.4-0.6-0.8-27

Corr(Equity, Gvt Bond) Flight to quality: negative correlation Contagion: positive correlation 28

Applications in Reinsurance Lower correlation across regions and lines of business Uncorrelated individual risk underwriting/pricing Excess layers show lower linear correlations Volatilities are higher (e.g. excess of loss layers) More subject to pricing cycle, unexpected inflation, and catastrophe accumulation 29

Well Established Diversification Assets Money Flows drive value changes Asset Valuation: Sector Rotation Liabilities Law of large numbers Diverse loss drivers The foundation of insurance 30

How About Strategic Diversification? Analyze the business model Synergy in production or delivery Complexity and Diverted Management Focus Bifurcation results: If managed poorly, an asset can turned into liability (diversification destroys value) If managed well, a financial conglomerate can achieve compounding growth! (diversification creates value) 3

Two Examples of Focus/Diversification Renaissance Re A Catastrophe Insurer in Bermuda Concentrate on the CAT business and does a good job at modeling CAT risks Diversify through pooling risk perils and geographic exposures Allstate Insurance Co One of the largest personal lines (HO and Auto) insurer in the U.S. Focus on personal lines only Ceded CAT exposure at very high price 32

Examples Are Bountiful A consulting firm did an RAROC Analysis for an International Reinsurer: Would adding a restaurant business further help the diversification? Many small mutual companies were urged to expand to multiple line and multiple states, ended up with massive losses European Reinsurers diversified to the US market and lost billions 33

Mega Transactions explained by business model synergy Divorcing/Spinning Off Citigroup bought traveler s, and sold after several years of trying to integrate General Electric sold Employers Re Credit Suisse Group sells Winterthur New partners Travelers Property-Casualty acquired by St Paul Travelers Life unit acquired by MetLife Employers Re becomes part of Swiss Re Winterthur becomes part of AXA 34

Diversification Theory Tested Some 20 years ago, a scholar made the following bold prediction: In 0-5 years time, there would be very few small companies. This is equivalent to saying In the jungle only tigers and lions can survive in the long run because they are big and strong Such prediction turned out to be wrong! 35

3 25 37 49 6 73 85 97 09 2 33 45 57 69 8 93 205 27 229 24 253 265 277 289 30 33 325 337 349 36 373 385 397 409 42 433 445 457 469 48 493 Personal Auto Liability Wide Company to company variations 2.8.6.4.2 0.8 Mean_LR_Direct Stdev_LR mean+2*stdev 0.6 0.4 0.2 0 36

0 9 28 37 46 55 64 73 82 9 00 09 8 27 36 45 54 63 72 8 90 99 208 27 226 235 244 253 262 27 280 289 298 307 36 325 334 343 352 General Liability Wide Company to company variations 2.8.6.4.2 0.8 Mean_LR_Direct Stdev_LR mean+2*stdev 0.6 0.4 0.2 0 37

Regulation should recognize diversification & risk transfer Encourage growth of financial conglomerates Revenue diversification in many market segments, Scale of Economy brand recognition Growth in emerging markets (participate in the wealth creation process) Recognize economic-driven risk transfer Free up locked capital while maintaining sound solvency 38

Harmonization: level playing field Internal Market via Group Diversification Risk pooling agreements between subsidiaries Group guarantee serves as a stop-loss contract External Market via Risk Transfer Allow for Company Internal Model approach that explicitly quantifies the effect of risk transfer Set MCR as the floor 39