A rational foundation for wishful exchange rate forecasts

Professor Takatoshi Ito in a recent American Economic Review paper documents that exporters and importers have biased exchange rate forecasts and the biases are in opposite directions. At first glance, it is difficult to provide a rational foundation for such behavior. Professor Ito hypothesizes that these forecasts are the result of wishful expectations. However, if forecasts are stochastic, then minimization of a quadratic loss function results in a rational hedge applied to either $/¥ or ¥/$. The different perspectives of importers and exporters determines which form is hedged and determines the direction of the bias.     

A Comparison of Cost of Equity Estimates of Local and Global CAPMs

Cost of equity estimates are compared for three pricing models: the traditional local CAPM, the single (market) factor global CAPM, and the two‐factor global CAPM, with both market and currency index factors. For 2989 US stocks, the average difference in the cost of equity estimates is about 48 basis points between the local CAPM and the single‐factor global CAPM, and is about 61 basis points between the two global models. For 70 developed‐market ADRs, the corresponding average differences are 76 and 47 basis points, respectively. For 48 emerging‐market ADRs, the corresponding average differences are 57 and 70 basis points.     

Polynomial approximations in cross-sectional models

The time-series distributed lag techniques of econometrics can be usefully applied to cross-sectional, spatial and cross-section time-series situations. The application is perfectly natural in cross-section, time-series models when regression coefficients evolve systematically as the cross-section grouping variable changes. The evolution of such coefficients lends itself to polynomial approximation or more general smoothing restrictions. These ideas are not new, Gersovitz and McKinnon (1978) and Trivedi and Lee (1981) providing two of the earliest applications of cross-equation smoothing techniques. However, their applications were in the context of coefficient variation due to seasonal changes and this may account for the non-diffusion of these techniques. The approach here is illustrated in the context of age-specific household formation equations based on census data, using Almon polynomials when the regression coefficients vary systematically by age group. A second application is provided, using spatial data, explaining the incidence of crime, by region; using polynomial and geometric smoothing to model distance declining regional effects.     

CAP Reforms in the 1990s and their Price and Welfare Implications: The Case of Wheat

We use a nonlinear commodity market model to assess, theoretically and empirically, the impacts of recent reforms of the CAP on prices and economic welfare in the EU. The empirical analysis is based on an aggregate structural econometric model of the EU wheat economy and its links to the rest of the world. Instability issues are also investigated. Impacts of CAP reforms on the variance of domestic and world prices are analysed and a Monte Carlo simulation is used to evaluate uncertainty in the model's welfare computations. Recent reforms led to a net welfare gain within the EU during the period 1993–2000. Additional budgetary costs are less than the welfare gains of consumers and producers. Producers gained as lower price support was overcompensated by additional direct payments.