Harry Markowitz (1959) develops "mean-variance model". Based on this model, Sharpe (1964), Lintner (1965) and Black (1972) build CAPM. However, empirical findings are not in favor of CAPM. Then，Merton (1973) generalizes CAPM and proposes ICAPM. Afterwards, Fama and French (1996) take the idea...

This paper examines international equity market co-movements using time-varying copulae. We examine distributions from the class of Symmetric Generalized Hyperbolic (SGH) distributions for modelling univariate marginals of equity index returns. We show based on the goodness-of-fit testing that...

Standard economic models based on rational expectations and homogeneity have problems explaining the complex and volatile nature of financial markets. Recently, boundedly rational and heterogeneous agent models have been developed and simulated returns are found to exhibit various stylized...

Using daily return data from the four major Central and Eastern European stock markets including fourteen highly liquid stocks and ATX (Vienna), PX (Prague), BUX (Budapest), and WIG20 (Warsaw) market indices, we model the value-at-risk using a set of univariate GARCH-type models. Our results...

We model high and low frequency variation in global equity correlations using a sample of 43 countries, including developed and emerging markets during the period 1995-2008. Such variations are characterized by a multifactor asset pricing structure with second-moments dynamics leading to high...

The volatility of equity and foreign exchange market is an important input to portfolio selection and to asset pricing models. Many investment decisions and valuation of derivatives frequently rely on predictions of volatility. In this paper we review the existing empirical literature in...

This paper studies the well known day of the week effect in stock returns. Specifically, fifty five stock market indices from fifty one countries are examined with asymmetric GARCH models. The results are mixed, as the Monday effect is reported in nine indices, while in other ten indices Friday...

The paper suggests a nonlinear and multivariate time series model framework that enables the study of simultaneity in returns and in volatilities, as well as asymmetric effects arising from shocks. Using daily data 2000-2006 for the Baltic state stock exchanges and that of Moscow we find...

This paper examines the out-of-sample performance of asset allocation strategies that use conditional multi-factor models to forecast expected returns and estimate the future variance and covariance. We find that strategies based on conditional multi-factor models outperform strategies based on...

We develop and implement linear formulations of general N-th order Stochastic Dominance criteria for discrete probability distributions. Our approach is based on a piece-wise polynomial representation of utility and its derivatives and can be implemented by solving a relatively small system of...