We develop models for examining possible predictors of growth of China's foreign exchange reserves that embrace Chinese and global trade, financial and risk (uncertainty) factors. Specifically, by comparing with other alternative models, we show that the dynamic model averaging (DMA) and dynamic...

In this paper, we investigate the volatility spillovers between sukuk and sharia-compliant stocks in GCC countries. A multivariate Fractionally Integrated Asymmetric Power ARCH model with dynamic conditional correlations (DCC) is estimated under Student-t distribution. We provide strong evidence...

The objective is to examine the short- and long-run dynamics of US financial CDS index spreads at the sector level and explore their relationships with the stock market and the short- and long-run government securities, paying particular attention to the subperiod that begins with the 2007 Great...

This study examines the asymmetry and adjustment to the long-run equilibrium for the TED spread formed as the difference between LIBOR and Treasury bill rates for three maturities. It also explores the adjustment each individual rate undergoes to move the spread to its equilibrium during...

This study performs the challenging task of examining the forecastability behavior of the stock market returns for the Dow Jones Islamic Market (DJIM) and the Dow Jones Industrial Average (DJIA) indices, using non-parametric regressions. These indices represent different markets in terms of...

The main goal of this paper is to formally establish the volatility-herding link in the developing stock markets of the oil-rich GCC countries by examining how market volatility affects herd behavior after controlling for global factors. Using a regime-switching, smooth transition regression...

Recurrent “black swans” financial events are a major concern for both investors and regulators because of the extreme price changes they cause, despite their very low probability of occurrence. In this paper, we use unconditional and conditional methods, such as the recently proposed high...

Value-at-Risk (VaR) is used to analyze the market downside risk associated with investments in six key individual assets including four precious metals, oil and the S&P 500 index, and three diversified portfolios. Using combinations of these assets, three optimal portfolios and their efficient...

Risk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is the expansion of financial derivatives. The purpose of this special issue on “Risk Management and Financial Derivatives” is to highlight some areas in which novel...