The higher moments of a distribution often lead to estimated value-at-risk (VaR) biases. This study's objective is to examine the backtesting of VaR models that consider the higher moments of the distribution for minimum-variance hedging portfolios (MVHPs) of the stock indices and futures in the...

This paper estimates the import demand elasticity for China using three fully efficient cointegrating regressions and the autoregressive distributed lag (ARDL) method. This paper is the first to accommodate the perception of global risk in an investigation of the information transmission...