Many popular techniques for determining a securities firm's value-at-risk are based upon the calculation of the historical volatility of returns to the assets that comprise the portfolio and of the correlations between them. One such approach is the JP Morgan RiskMetrics methodology using...

Using daily data from 1983 to 1993 for the Kuala Lumpur Stock Exchange Composite Index (KLSI) we examine the day-of-the-week effect. Our initial findings indicate that there is a marginally significant negative Monday effect (in keeping with US studies) and a significant positive Wednesday and...

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...

This is the first study to use daily data from a major capital market outside of the US to examine the role of corporate bond and commercial paper rating changes on common stock returns. Using data published by Standard and Poors' credit rating agency between 1984 and 1992, we examine the impact...

We develop tests for seasonal unit roots for daily data by extending the methodology of Hylleberg et al. ('Seasonal Integration and Cointegration', Journal of Econometrics, Vol. 44 (1990), No. 1–2, pp. 215–238) and apply our tests to UK and US daily stock market indices. We also investigate...

This paper presents and implements a number of tests for non-linear dependence and a test for chaos using transactions prices on three LIFFE futures contracts: the Short Sterling interest rate contract, the Long Gilt government bond contract, and the FTSE 100 stock index futures contract. While...