We examine the relationship between financial crisis exchange rate variability and equity return volatility for US multinationals. Empirical analysis of the major financial crises of the last decades reveals that stock return variability increases significantly in the aftermath of a crisis, even...

Purpose – This paper aims to increase understanding of the (time‐varying) relationship between exchange rates and stock prices at the individual firm level. Rather than analyzing the impact of exchange rate movements on firm value by regressing multinationals’ stock returns on exchange...

Purpose – The purpose of this paper is to investigate the impact of individual investor sentiment on the return process and conditional volatility of three main US market indices (Dow Jones Industrial Average, S&P500 and Nasdaq100). Individual investor sentiment is measured by aggregate money...

We apply extreme value analysis to US sectoral stock indices in order to assess whether tail risk measures like value-at-risk and extremal linkages were significantly altered by 9|11. We test whether semi-parametric quantile estimates of 'downside risk' and 'upward potential' have increased...

In this article, a survey database of exchange rate expectations is employed to examine EMS exchange risk premia. We are able to test a risk premium model directly, i.e. without having to rely on the rational expectations assumption. The results indicate that time-varying risk premia are almost...

This paper extends the analyses of Frankel and Froot (1987b), Cavaglia et al. (1993a), and others, to a new data set of exchange rate expectations on Scandinavian exchange rates. It corroborates the earlier finding that exchange rate forecasts are not rational, and that agents do not use all...

This paper examines the relationship between expected stock returns and size, and market-to-book ratio in four transition emerging markets, namely the Czech Republic, Hungary, Poland, and Russia. Overall, we find a premium for large firms and growth stocks; factors that drive cross-sectional...