We construct a computational model of Tiebout competition and show that political institutions differ in their ability to sort citizens effectively. In particular, we find that certain types of institutions--those that become more "politically unstable" as citizen heterogeneity increases--perform relatively poorly given a single jurisdiction, yet these same institutions perform relatively well when there are multiple jurisdictions. We provide an explanation for this phenomenon which draws upon simulated annealing, a discrete nonlinear search algorithm.

We develop a framework to extract information regarding subsequent spot rate movements from the term structure of forward exchange premiums while admitting possible deviations from rationality and the presence of risk premiums. Using weekly dollar–sterling, dollar– mark, and dollar–yen data, the restrictions implied by our framework are not rejected, and spot and forward exchange rates together are well represented by a vector error correction model (VECM). Dynamic out-of-sample forecasts up to one year ahead indicate that the VECM is strikingly superior to a range of alternative forecasts, including a random walk and standard spot-forward regressions.

Reviews the book "Clean Surplus: A Link Between Accounting and Finance," by edited by Richard P. Brief and K.V. Peasnell.

Reviews the book "Financial Warnings," by Charles W. Mulford and Eugene E. Comiskey.

Myopic loss aversion is the combination of a greater sensitivity to losses than to gains and a tendency to evaluate outcomes frequently. Two implications of myopic loss aversion are tested experimentally. 1. Investors who display myopic loss aversion will be more willing to accept risks if they evaluate their investments less often. 2. If all payoffs are increased enough to eliminate losses, investors will accept more risk. In a task in which investors learn from experience, both predictions are supported. The investors who got the most frequent feedback (and thus the most information) took the least risk and earned the least money.

This paper investigates the role of interest rate risk in explaining security price changes. We develop and test a two-factor linear beta pricing model of security returns in which the factors are the excess returns on the long-term, riskless bond and the equal-weighted equity market index. We find that time-variation in the interest rate and market risk premia influence expected security returns. Furthermore, conditional interest rate volatility affects security returns, particularly during periods of substantial interest rate movements.

We test both the unconditional and conditional Mean Variance Efficiency of the UK stockmarket, paying particular attention to choosing a suitable set of instruments for the conditional version of the model. By considering more carefully than previous authors the pricing of economic risk within the mean-variance framework we show that certain instruments can enhance the basic model structure. Given the tendency for financial market data to display non-constancy in variance and non-normality we employ the GMM procedure described in Hansen (1982), which requires much weaker distributional assumptions than the more traditional OLS techniques. We discuss forming portfolios of stocks using both size and dividend yield as a criterion to achieve a suitable spread of risk and return, and find that our conclusions are sensitive both to the method of portfolio formation and to the choice of estimator. This is an important finding given the problem of thin trading associated with the size ordering of UK stocks. We find some support for both the unconditional and conditional version of the CAPM, though we are cautious about our conclusions given the instability of the parameter estimates.

The paper demonstrates empirically that earnings prepared according to Generally Accepted Accounting Principles (GAAP earnings) have properties necessary to serve as a substitute for dividends in equity valuation analysis. Dividends reduce subsequent GAAP earnings, and "intrinsic" equity prices calculated by forecasting earnings are thus reduced by current dividends. This behavior is in accordance with the Miller and Modigliani principle-the displacement property-which states that the payment of dividends reduces prices, dollar for dollar. Further, the paper demonstrates that it this displacement is accommodated in calculating equity prices from forecasted GAAP earnings, those prices exhibit the dividend irrelevance property, that is, calculated prices are insensitive to future dividends. Forecasted GAAP earnings cannot be substituted for dividends, dollar for dollar, but the two are substitutes in the sense that the replacement value of expected dividends reduces forecasted earnings, dollar for dollar.