This article attempts to examine whether the equity premium in the United States can be predicted from a comprehensive

We consider the problem of accurate market risk modeling for agricultural commodity products over heterogeneous investment horizons using copulas and wavelet methods. Our results indicate that the degree and structure of the dependence of daily commodity returns on the three market risk factors...

The financial crisis has fueled interest in alternatives to traditional asset classes that might be less affected by large market gyrations and, thus, provide for a less volatile development of a portfolio. One attempt at selecting stocks that are less prone to extreme risks, is obeyance of...

In this article, we examine the recent trends in dependence structure between the fast-growing commodity markets and the stock markets in China in order to draw implications for portfolio investment. We address this issue by using copula functions that allow for measuring both average and tail...

This article investigates the potential of nonlinear causal relationships between world oil prices and stock markets in MENA countries during a black swan period that is characterized by rarity and devastating impacts. By using the nonlinear and asymmetric causality test of Kyrtsou and Labys...

This paper contributes to the empirical literature on Islamic finance by investigating the feature of Islamic and conventional banks in Gulf Cooperation Council (GCC) countries over the period 2003-2010. We use parametric and non-parametric classification models (Linear discriminant analysis,...

his paper attempts to predict the bear conditions on the US stock market. To this aim we elaborate simple predictive regressions, static and dynamic binary choice (BCM) as well as Markov-switching models. The in- and out-of-sample prediction ability is evaluated and we compare the forecasting...

We study the conditional dependence structure between crude oil prices and U.S. dollar exchange rates using a copula-GARCH approach. Various copula functions of the elliptical, Archimedean and quadratic families are used to model the underlying dependence structure in both bearish and bullish...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the