The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period value-at-risk (VaR) and expected shortfall (ES) across 20 stock indices worldwide. The dataset is composed of daily data covering the...

It is widely accepted that some of the most accurate Value-at-Risk (VaR) estimates are based on an appropriately specified GARCH process. But when the forecast horizon is greater than the frequency of the GARCH model, such predictions have typically required time-consuming simulations of the...

This study examines whether the output gap leads portfolio stock returns. The paper conducts in-sample and out-of-sample forecasting of US stock portfolios formed on the basis of size and value. First, the paper finds cross-sectional portfolios are predictable in-sample by the output gap....

This paper proposes a binary response model approach to measure and forecast extreme downside risks in Asia-Pacific markets given information on extreme downside risks in the U.S. and Japanese markets. The extreme downside risk of a market is measured as the occurrence of extreme downside...

We suggest a new measure of total ex-ante volatility (EAV) in stock returns, which includes traditional non-market (or idiosyncratic) risk and the unexpected component of market return. We find that the portfolio-level EAV measure exhibits strong predictive power for the cross-section of average...

This paper examines the interaction between the equity index option market and sovereign credit ratings. S&P and Moody's signals exhibit strong impact on option-implied volatility while Fitch's influence is less significant. Moody's downgrades reduce the market uncertainty over the rated...

This paper empirically investigates the Adaptive Market Hypothesis (AMH) in three of the most established stock markets in the world; the US, UK and Japanese markets using very long run data. Daily data is divided into five-yearly subsamples and subjected to linear and nonlinear tests to...

We use the daily data of 16 commodity futures contracts traded in China and corresponding foreign markets (the US, the UK, Japan, and Malaysia) to analyze the linkages between markets. Several findings are noteworthy. First, trading returns of foreign markets, such as the US, have significant...

Using stochastic dominance (SD) approach, this paper revisits the Ramadan effect in the stock returns of 15 Muslim countries and altogether as a portfolio. Our study is motivated by the preferred statistical attributes of SD analysis. Specifically, SD requires no normal distribution of returns...

This paper provides a market-microstructure analysis of exchange rate dynamics in the Chinese foreign exchange market using a vector autoregressive (VAR) modeling framework. An index of order flow is constructed in the Chinese context to reflect excess demand pressure in the foreign exchange...