This article investigates the feasibility of using range-based estimators to evaluate and improve Generalized Autoregressive Conditional Heteroscedasticity (GARCH)-based volatility forecasts due to their computational simplicity and readily availability. The empirical results show that daily...

This paper re-investigates the stationarity properties of per capita carbon dioxide (CO2) emissions and real Gross Domestic Product (GDP) per capita for 109 countries within seven regional panel sets covering 1971-2003. We apply the recent unit-root test of the panel seemingly unrelated...

This paper investigates whether the efficient market hypothesis holds in stock markets under different economic development levels over the period January 1999 to May 2007. We employ a state-of-the-art panel data stationarity test which incorporates multiple structural breaks. Evidence indicates...

This paper investigates the efficient market hypothesis using total energy price and four kinds of various disaggregated energy prices - coal, oil, gas, and electricity - for OECD countries over the period 1978-2006. We employ a highly flexible panel data stationarity test of Carrion-i-Silvestre...

<title>Abstract</title>Recently, increasing number of infectious diseases has swept the world. The outbreak of a contagious disease not only affects the health and lives of people but also causes economic growth to stagnate. Business in the biotechnology industry is closely related to infectious diseases but...

This investigation integrates a novel hybrid asymmetric volatility approach into an Artificial Neural Networks option-pricing model to upgrade the forecasting ability of the price of derivative securities. The use of the new hybrid asymmetric volatility method can simultaneously decrease the...

We study a resource constrained assembly line balancing problem (RCALBP) presented by A?pak and G?k?en, who developed a 0-1 integer programming model to find the optimal solution. However, this model is inefficient in solving large-scale problems. In this paper, we propose a simple efficient...

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...