In this study, trading behavior of foreigners is investigated by using monthly data of the Istanbul Stock Exchange (ISE). The causality relationship between net foreign trading volume and stock returns is analyzed by Granger Causality Test. The positive feedback hypothesis is tested by using...

We investigate the e_ects of monetary policy shocks in the new European Union member states Czech Republic, Hungary, Poland and Slovakia. In contrast to existing studies, we explicitly account for external developments in European Monetary Union (EMU) countries and in other acceding countries....

This study provides the first attempt to examine the ability of the price of fine wine to forecast the Gross Domestic Product (GDP) for the major developed countries. Considering the limitation of a linear Granger causality test in detecting nonlinear causal relationships, a nonlinear Granger...

The objective of the thesis is to show through an empirical work how alpha drivers can be used tactically with beta drivers to provide solid out-performance compared to a chosen benchmark. Given the fact that financial theory and empirical research cast doubt on the alpha generating process...

We develop an empirically highly accurate discrete-time daily stochastic volatility model that explicitly distinguishes between the jump and continuous-time components of price movements using nonparametric realized variation and Bipower variation measures constructed from high-frequency...

Statistical filter researchers for time-series systems are often concerned that the coefficients of their established filters may not be constant over time, but vary when the filters are disturbed by changes arising from outside environmental factors. This concern has motivated researchers to...

Financial market volatility is an important input for investment, option pricing and financial market regulation. In this review article, we compare the volatility forecasting findings in 93 papers published and written in the last two decades. This article is written for general readers in...

The long memory characteristic of financial market volatility is well documented and has important implications for volatility forecasting and option pricing. When fitted to the same data, different volatility models calculate the unconditional variance differently and could have very different...

This study evaluates a set of parametric and non-parametric Value-at-Risk (VaR) models that quantify the uncertainty in VaR estimates in form of a VaR distribution. We propose a new VaR approach based on Bayesian statistics in a GARCH volatility modeling environment. This Bayesian approach is...

The paper documents the specification and estimation of an econometric model of the Brazilian stock market (Bovespa) using a GARCH(1,1) model. We used quarterly data for an estimation period spanning from January 1995 to December 2003. The empirical results show that GDP growth, exchange-rate...