Risk spillovers and portfolio management between developed and BRICS stock markets

被引:65
作者
Mensi, Walid [1 ]
Hammoudeh, Shawkat [2 ,3 ]
Kang, Sang Hoon [4 ]
机构
[1] Univ Tunis El Manor, Dept Finance & Accounting, BP 248, Tunis 2092, Tunisia
[2] Drexel Univ, Lebow Coll Business, Philadelphia, PA 19104 USA
[3] Montpellier Business Sch, Energy & Sustainable Dev CESD, Montpellier, France
[4] Pusan Natl Univ, Dept Business Adm, Busan 609735, South Korea
关键词
Stock markets; Volatility; Time-varying hedge ratios; Downside risk; Multivariate DECO-FIEGARCH; GLOBAL FINANCIAL CRISIS; TIME-SERIES; UNIT-ROOT; CONDITIONAL HETEROSKEDASTICITY; VOLATILITY TRANSMISSION; MODELING VOLATILITY; COMMODITY FUTURES; ASSET RETURNS; LONG MEMORY; CONTAGION;
D O I
10.1016/j.najef.2017.03.006
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper investigates spillover effects and portfolio diversification between the four major developed stock markets (USA, Europe, Japan and Asia) and five of the most important emerging stock markets known as the BRICS (Brazil, Russia, India, China and South Africa). To this end, we apply the multivariate DECO-FIEGARCH model to daily spot indices during the period 1998-2016. The results reveal a significant and asymmetric long memory process for both the developed and the BRICS markets. Moreover, we find a significant variability in the time-varying conditional correlations between the considered markets during both bull and bear markets, particularly from early 2007 to summer 2008. Additionally, we analyze the optimal portfolio weights, time-varying hedge ratios and hedging effectiveness based on the estimates of the model. The results underline the importance of overweighting the optimal portfolios with stocks from the developed countries over those from the BRICS. Finally, we assess the practical implications for mixed developed-BRICS stock portfolios, based on finding strong evidence of diversification benefits and downside risk reductions that confirm the usefulness of using developed market stocks in the BRICS stock portfolio risk management. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:133 / 155
页数:23
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