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

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four major commodities (crude oil, natural gas, gold, and sil- ver). A broad set of the most popular linear and nonlinear GARCH-type models is used to...

This article uses the DCC-FIAPARCH model to examine the time-varying properties of conditional return and volatility of crude oil and US stock markets as well as their dynamic correlations over the period 1988-2013. Our results indicate that both the long memory and asymmetric behavior...

We use a regime-switching model approach to investigate the dynamic linkages between the exchange rates and stock market returns for the BRICS countries (Brazil, Russia, India, China and South Africa). The univariate analysis indicates that stock returns

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

This study examines the effects of the monetary policy of the United States on commodity prices. Using a Bayesian Structural VAR, we identify the interest rate shocks as a measure of the stance of the U.S. mon- etary policy and evaluate their impacts on different types of commodity prices. The...

This paper examines the effects of the monetary policy of China on commodity prices. Using a Bayesian Structural VAR, we identify shocks to the interest rate as a price rule and to the monetary aggregate (M2) as a quantity rule, and then evaluate their impacts on commodity prices. Those prices...

We investigate the dynamic relationships between the US five-year financial CDS sector index spreads for the banking, financial services and insurance sectors in the short- and long-run over the recent period which is marked by the onset of the global financial crisis. For this purpose, we...

This study examines the risk spillovers between energy futures prices and Europe-based carbon futures contracts. We use a Markov regime-switching dynamic correlation, generalized autoregressive conditional heteroscedasticity (MSDCC- GARCH) model in order to capture the time variations and...

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...