We measure the loss potential of Hedge Funds by combining three market risk measures: VaR, Draw-Down and Time Under-The-Water. Calculations are carried out considering three different frameworks regarding Hedge Fund returns: i) Normality and time-independence, ii) Non-normality and time-...

Using one of the greatest hedge fund database ever used (2796 hedge funds including 801 dissolved), we investigate hedge funds performance using various asset-pricing models, including an extension form of Carhart's (1997) model combined with Fama & French (1998) Agarwal & Naik (2000) models and...

We investigate shifts in correlation patterns among international equity returns at the market level as well as the industry level. We develop a novel bivariate GARCH model for equity returns with a smoothly time- varying correlation and then derive a Lagrange Multiplier statistic to test the...

The efficiency of speculative markets, as represented by Fama's 1970 fair game model, is tested on weekly price index data of six Asian stock markets - Hong Kong, Indonesia, Malaysia, Singapore, Taiwan and Thailand - using Sherry's (1992) non-parametric methods. These scientific testing methods...

In the context of interdependence of the financial markets, it becomes interesting to analyze the implications associated with the Terrorist Attacks of the 11th of September of 2001, in the USA, in terms of the development of contagion mechanisms between the main international stock exchanges....

This paper investigates the time-varying behavior of systematic risk for eighteen pan-European industry portfolios. Using weekly data over the period 1987-2005, three different modeling techniques in addition to the standard constant coefficient model are employed: a bivariate t- GARCH(1,1)...

This paper investigates the time-varying behavior of systematic risk for eighteen pan-European sectors. Using weekly data over the period 1987- 2005, four different modeling techniques in addition to the standard constant coefficient model are employed: a bivariate t-GARCH(1,1) model, two Kalman...

This paper examines the forecasting performance of GARCH’s models used with agricultural commodities data. We compare different possible sources of forecasting improvement, using various statistical distributions and models. We have chosen to confine our analysis on four indices which are the...

This paper investigates the nature of the causal relationship between stock prices and effective exchange rates in four old EU-member countries (Austria, France, Germany, and the UK), four new EU-member countries (Czech Republic, Hungary, Poland, and Slovakia) and in the USA. Both the long-run...

Financial markets and their respective assets are so intertwined; analyzing any single market in isolation ignores important information. We investigate whether time varying volatility comovement and spillover impact the true variance-covariance matrix under a time-varying correlation set up....