Nobel Laureates in Economics: The Implications of Their Work for Actuarial Analysis

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Nobel Laureates in Economics:

The Implications of Their Work for

Actuarial Analysis

Harry Shuford, Chief Economist

National Council on Compensation Insurance

CASE Annual Meeting

September 23, 2004

2004 National Council on Compensation Insurance, Inc.

Atlanta, Georgia

Today’s Discussion

Background on the Nobel in Economics

Areas with Implications for Actuarial Analysis

Financial Economics

Asymmetrical Information

Behavioral Economics/Finance

Econometrics

Valuable Insights/Observations – part 1

Valuable Insights/Observations – part 2

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Today’s Discussion

Background on the Nobel in Economics

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Financial Economics

Markowitz - 1990 for work in the late 1950s

Modigliani & Miller – 1990 for work in the 1960s

Sharpe- 1990 for work in the 1960s

Scholes and Merton – 1997 for work in the 1970s

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Asymmetrical Information

Mirrlees – 1996 for work in 1970s

Akerlof – 2001 for work in mid to late 1960s

Spence – 2001 for work in early 1970s

Stiglitz – 2001 for work in mid 1970s

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Behavioral Economics/Finance

Kahneman – 2002 for work in the 1970s

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Econometrics

Trygve Haavelmo – 1989 for work in the 1940s

Engle – 2003

Granger – 2003

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Financial Economics

Markowitz - microfinance portfolio theory

 Mean variance

 Efficient frontier recognizing covariance of securities

 Quadratic objective function

Modigliani & Miller – corporate finance

 Capital structure per se (I.e. debt/equity) no effect on value of the firm

 Expected return on stock increases linearly with debt/equity ratio

 Stockholders can offset in the market any undesired change in firm’s structure

Sharpe – market focus - CAPM

 Systematic vs. Diversifiable risk

 Risk premium based on covariance with market return

 Market portfolio and lending/borrowing @ risk free rate

Scholes and Merton – option pricing model

 Risk is embedded in price of underlying asset

 Contingent claim concept applies to insurance

 Strike price - /expected share value +/volatility of share price +/time+/risk free rate +

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Asymmetrical Information

Mirrlees – optimal income taxes

 Moral hazard

 Disincentive to work to avoid taxes

 Hide income to avoid taxes

Akerlof – sellers have more/withhold info re: buyers - market for lemons

 Adverse selection

 Why would I want to buy if he wants to sell?

 Medical insurance pricing – esp. elderly

Spence – better informed incur costs to improve outcomes

 Signaling

 Factory mutuals and fire protection services

 Auto warranties -

Stiglitz – poorly informed extract info from better informed

 Screening

 Insurance deductibles

 MGAs and retentions

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Behavioral Economics/Finance

Kahneman – decision making under uncertainty/irrational behavior

Expected utility is not entirely convex

– Different response to the same problem depending on how it’s presented

Loss aversion

Prospect theory

Ignore/overlook prior information

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Econometrics

Trygve Haavelmo – made econometrics probabilistic

 Statistical inference/hypothesis testing

 Simultaneous interactions/identification problem

Engle – changing volatility over time

 autoregressive conditional heteroskedasticity (ARCH)

Granger – time series with common trends

 cointegration

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Valuable Insights/Observations

Friedman – policy lags/positive vs normative

Lucas – rational expectations

Arrow – theory of insurance

Simon – satisficing vs. maximizing

Tobin – Tobin’s Q/risk free asset vs market portfolio

Heckman – selection bias

Fogel & North – technology and development

Samuelson

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Valuable Insights/Observations

The standard model:

Self interested rational behavior

Full information

– Akerlof’s “Market for Lemons” story

Article rejected twice as being trivial

Article rejected as undermining standard model

Article finally accepted

– Today’s models are varied and include:

The standard model

Models to explain behavior with incomplete and asymmetrical info

Behavioral finance – irrational exuberance

Auctions (Vickery & Smith)

– Measuring “happiness”

– How effective are today’s actuarial methods?

Are they seasoned or just stale?

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Thanks for Your Interest

Questions and Comments

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