The Changing Role of Financial Stress,Oil Price,and Gold Price in Financial Contagion among US and BRIC Markets

The objective of this paper is to explore the determining factors behind financial contagion between US and BRIC (Brazil, Russia, India, and China) equity markets. To this end, we investigate the effects of global macroeconomic factors on the time‐varying correlations among these markets obtained by asymmetric dynamic conditional correlation method. Utilizing quantile regression analysis, we examine the determinants of financial contagion at different levels of time‐varying correlations. The results of quantile regression analyses reveal that global financial crisis (GFC) (2008) leads to changes in the dependence structure between dynamic conditional correlations among equity markets and global macroeconomic factors, such as global financial stress, oil prices, and gold prices. Following the GFC, monetary, and fiscal policy changes in the BRIC markets and hence changing macroeconomic risks of these markets are conducive to these changes. Our findings also demonstrate the importance of cross‐market rebalancing channel for information transmission across US and BRIC markets.     

Performance of Electricity Price Forecasting Models: Evidence from Turkey

In this article, hourly prices of the Turkish Day Ahead Electricity Market are forecasted by using various univariate electricity price models, then the out-of-sample forecasts are compared with each other and the benchmarks. This article has two main contributions to the literature: Firstly, it provides a factorial Analysis of Variance (ANOVA) as a pre-whitening method of the price series and allows one to work with the stationary residuals series. Secondly, it is the first work, which compares the performances of all important statistical univariate forecast models in the Turkish electricity market. Results indicate the importance of the factorial ANOVA application and the SARIMA model’s success under the given conditions.