CAS RISK PREMIUM PROJECT

1 / 26
About This Presentation
Title:

CAS RISK PREMIUM PROJECT

Description:

Equity Beta for Insurer via Multifactor Asset Pricing Models ... Output Compared to Standard and Other Equity Betas for Insurers. EMPIRICAL PROJECTS ... – PowerPoint PPT presentation

Number of Views:46
Avg rating:3.0/5.0
Slides: 27
Provided by: eilish6
Learn more at: https://www.casact.org

less

Transcript and Presenter's Notes

Title: CAS RISK PREMIUM PROJECT


1
CAS RISK PREMIUM PROJECT
  • Richard A. Derrig - Moderator
  • Auto Insurers Bureau of Massachusetts
  • Richard D. Phillips
  • Georgia State University
  • Robert P. Butsic
  • Firemans Fund Insurance

CAS Loss Reserve Seminar Minneapolis, MN Sept.
19, 2000
2
THE RISK PREMIUM PROJECT (RPP)Phase I and II
Report
  • Committee on Theory of Risk
  • Discount Rate for Liabilities
  • Literature Review
  • Actuarial Process and Parameter Risk
  • Financial Systematic Risk
  • Academic Dave Cummins, Rich Phillips
  • Industry Bob Butsic, Rich Derrig

3
THE RISK PREMIUM PROJECT (RPP)Phase I and II
Report(www.casact.org/cotor/rpp)
  • 1. Introduction
  • 2. Literature Search
  • 3. Theoretical Conclusion
  • 4. Proposals for Phase III
  • Appendix A. Risk Premium Project Bibliography
  • Appendix B. Implications for Fair Value
    Accounting

4
THEORETICAL CONCLUSION 1
  • The opinions of financial economists and
    actuaries regarding the role of systematic vs.
    non-systematic risks in determining the
    equilibrium insurance prices are converging. Both
    see a role for non-systematic risk in pricing.

5
THEORETICAL CONCLUSION 2
  • A systematic risk adjustment for the duration of
    the cash flows associated with a line of
    insurance should be included in the discount rate
    used to determine the fair value of the insurance
    premium.
  • The adjustment to the discount rate will be a
    function of the maturity structure of the
    liabilities.

6
THEORETICAL CONCLUSION 3
  • The average returns of financial assets cannot be
    adequately explained by the CAPM beta.
    Researchers have shown extensions of the CAPM
    which include additional factors significantly
    enhance the explanatory power of the models. In
    addition, although research using more
    sophisticated empirical tests has been published
    extending the CAPM, similar research focusing on
    insurance company returns does not currently
    exist.

7
THEORETICAL CONCLUSION 4
  • A theoretically consistent way to allocate the
    costs of holding equity capital to individual
    lines of insurance has been identified. Thus,
    the costs associated with holding capital can now
    be charged to individual lines of insurance.

8
THEORETICAL CONCLUSION 5
  • The risk of insurer default to the policyholder
    should be recognized in pricing the risk
    transfer.

9
Fair Value Accounting Implications
  • Market Value Balance Sheet
  • Treatment of Insurer Default
  • Franchise Value
  • Accounting for the Risk Load
  • Process Risk and Value Additivity
  • Risk Management Costs
  • Allocation of Joint Costs

10
Market Value Balance Sheet
  • One-period, idealized
  • No default
  • B/S at time policy is sold

11
Default Option
  • No guaranty fund, limited liability
  • Fair Premium P - D
  • B/S at time policy is sold

12
Liability Treatment
  • Liability as reduced amount L -D
  • Separate liability offset (-D)

13
Default Under Guaranty Fund
  • Premiums as if no default
  • Liability to GF offsets expected default

14
Franchise Value for Ongoing Insurer
  • Surplus includes value of intangibles
  • Breakup value of surplus is Sf
  • With no guaranty fund

15
Consequences of Default with FV
  • Default and franchise value are inversely related
  • Effect of increasing firm risk
  • Owners are worse off if (change in F) gt (change
    in D)
  • Not showing F as asset creates perverse results

16
Process Risk and Value Additivity
  • Process risk commands a price
  • Risk management costs (Stulz)
  • Reinsurance, capital, diversification
  • These costs dont appear in risk loads

17
Types of Residual Risk
  • Non-priced process risk
  • Priced process risk
  • Priced systematic

18
Allocation of Joint Costs
  • Systematic risk loads have natural value
    additivity
  • Finance models such as CAPM, APM
  • How does market treat cost of residual process
    risk?
  • Examples cost of holding capital, risk load for
    catastrophes

19
Solution Economic Allocation Methods
  • Microeconomic model of joint cost allocation
  • Look at marginal impact on total of separate
    (line) inputs
  • Economic allocations have value additivity

20
EMPIRICAL PROJECTSPhase III 1
  • Full Information Beta For Insurance Lines
  • If Full Information PC is 0.92 (1998), How Does
    That Distribute By Line?
  • DATA CRSP and NAIC
  • The FI Equity Beta With Sum Betas
    (Autocorrelation) Included And/Or Fama-French
    Model
  • Industry Level And Firm Level
  • Relatively Straightforward Datawise Output Will
    be Understandable

21
EMPIRICAL PROJECTSPHASE III 2
  • Allocation of Surplus by Line of Insurance
  • Myers-Read Model Applied to Representative
    Insurer(s)
  • Calculation of Covariances of Asset and Liability
    Types
  • DATA CRSP and NAIC at Georgia State and More(?)
  • Output Compared to Real World Data

22
PHASE IIIREFERENCES
  • Butsic, Robert P, (1999), Capital Allocation for
    Property-Liability Insurers A Catastrophe
    Reinsurance Application, Casualty Actuarial
    Society Forum, Spring.
  • Ibbotson, Roger G, Paul D. Kaplan and James D.
    Peterson, (1997), Estimates of Small Stock Betas
    are Much Too Low, Journal of Portfolio
    Management, Summer.
  • Kaplan, Paul D. and James D. Peterson, (1998),
    Full-Information Industry Betas, Financial
    Management, Summer.
  • Myers, Stewart C. and James A. Read, Jr., (1999),
    Surplus Allocations for Insurance Companies, AIB
    Working Paper, July.

23
APPENDIX ALITERATURE RECOMMENDATIONSTOP TEN
NON-CAS
  • Campbell, John Y., Andrew W Lo, and Craig A.
    MacKinlay (1997), The Econometrics of Financial
    Markets (RPP 134)
  • Campbell, John Y. (2000), Asset Pricing at the
    Millennium, NBER Working Paper (RPP238)
  • Cochrane, John H. (1999), New Facts in Finance,
    NBER Working Paper (RPP188)
  • Cummins, J. David, and Richard D. Phillips,
    (2000), Applications of Financial Pricing Models
    in Property-Liability Insurance, The Handbook of
    Insurance Economics (RPP130)
  • Cornell, Bradford (1999), Risk, Duration and
    Capital Budgeting New Evidence on Some Old
    Questions, Journal of Business, 722 (RPP37)

24
APPENDIX ALITERATURE RECOMMENDATIONSTOP TEN
NON-CAS
  • Froot, Kenneth A., and Jeremy C. Stein (1999),
    Risk Management, Capital Budgeting, and Capital
    Structure Policy for Financial Institutions An
    Integrated Approach, Journal of Financial
    Economics, 471 (RPP9)
  • Froot, Kenneth A., Jeremy C. Stein, and David S.
    Scharfstein (1993), Risk Management Coordinating
    Corporate Investment and Financing Policies,
    Journal of finance, 481 (RPP10)
  • Merton, Robert C. and Andre F. Perold, (1993),
    Theory of Risk Capital in Financial Firms,
    Journal of Applied Corporate Finance,63 (RPP177)
  • Babbel, David F. (1999), Components of Insurance
    Firm Value, and the Present Value of Liabilities,
    Investment management for Insurers (RPP225)
  • Barberis, Nicholas, Ming Huang, and Tano Santos
    (1999), Prospect Theory and Asset Prices, NBER
    Working Paper (RPP218)

25
EMPIRICAL PROJECTSFUTURE
  • Equity Beta for Insurer via Multifactor Asset
    Pricing Models
  • Campbell-Mei, Fama-French and other Multifactor
    Models Estimated for Insurers
  • Alternative Factors Relating to Insurance Tested
    for Additional Explanatory Power
  • DATA CRSP and NAIC at Georgia State and More
  • Output Compared to Standard and Other Equity
    Betas for Insurers

26
EMPIRICAL PROJECTSFUTURE
  • Risk Load and Pricing via Cummins, Allen and
    Phillips Model
  • Insolvency Put, Growth and Company
  • Type Variables are Calculated to Estimate The
    Economic Premium Inclusive of Risk, Tax and
    Friction Loadings
  • DATA CRSP and NAIC at Georgia State
  • Relatively Straightforward Datawise
  • Output Will be Understandable
Write a Comment
User Comments (0)