The purpose of this paper is to model analysts' forecasts. The paper differs from the previous research in that we do not focus on how accurate these predictions may be. Accuracy may indeed be an important quality but we argue instead that another equally important aspect of the analysts' job is...

The volatility smile and systematic mispricing of the Black-Scholes option pricing model are the typical motivation for examining stochastic processes other than geometric Brownian motion to describe the underlying stock price. In this paper a new stochastic process is presented, which is a...

Structural exchange rate models explain only a small part of the movements in dollar exchange rate. Recent empirical work has focused on the failure to account for nonlinearities in the data generating mechanism, as an explanation of this bad performance. Here two bivariate threshold...

This paper provides a new theoretical approach to investigate the sensitivity of the familiar beta of the capital asset pricing model to the length of the return measurement interval; a phenomenon known as the intervalling effect. By setting the problem in a continuous time setting, and using...

Thus paper reports on an investigation into what is an appropriate level of investment management fees. Existing results are extended and several formulae are provided for the case of power utility and normal returns. Using the CRRA utility function with the range of the coefficient of the CRRA...

In this paper, we propose the average <italic>F</italic>-statistic for testing linear asset pricing models. The average pricing error, captured in the statistic, is of more interest than the <italic>ex post</italic> maximum pricing error of the multivariate <italic>F</italic>-statistic that is associated with extreme long and short positions and...

Data envelopment analysis (DEA) is applied, and basic and cross-efficiency models are used to evaluate the performance of CTA classifications. With the ever-increasing number of CTAs, there is an urgent requirement to provide money managers, pension funds, and high-net-worth individuals with a...

The statistical properties of various measures of risk were investigated with a view to explaining the reasons for lack of use in finance of risk measures other than the variance, and to see if there is a sensible measure to use for cross-European comparisons. As examples, the semi-variance, the...

A new framework is provided for identifying market timing. The analysis focuses on the local joint history of the hedge fund with the benchmark. The approach is fully nonparametric. Therefore, it has the advantage of avoiding the misspecification problems so common in this literature. The test...

Using an extensive range of macroeconomic indicators and a number of two-stage models mixing OLS and a non-parametric approach known as the nearest neighbour algorithm, the authors analyse the potential for improving forecasts of US industry returns over those built by OLS on industry-specific...