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Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?

机译:原油与美国股票市场之间的关系和对冲策略的不稳定性:长期记忆和不对称关系重大吗?

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This article uses the DCC-FIAPARCH model to examine the time-varying properties of conditional return and volatility of crude oil and US stock markets as well as their dynamic correlations over the period 1988-2013. Our results indicate that both the long memory and asymmetric behavior characterize the conditional volatility of oil and stock market returns. On the other hand, the dynamic conditional correlations (DCC) between the crude oil and US stock markets are affected by several economic and geopolitical events. When looking at the optimal design of an oil-stock portfolio, we find that investors in the US markets should have more stocks than crude oil asset in order to reduce their portfolio risk. Finally, the use of the DCC-FIAPARCH model that explicitly accounts for long memory and asymmetric volatility effects enables the investors to effectively hedge the risk of their stock portfolios with lower costs, compared to the standard DCC-GARCH model. (C) 2014 Elsevier B.V. All rights reserved.
机译:本文使用DCC-FIAPARCH模型来检验1988-2013年期间原油和美国股票市场的条件收益率和波动率的时变特性及其动态相关性。我们的结果表明,长期记忆和不对称行为都是石油和股市收益的条件波动特征。另一方面,原油和美国股票市场之间的动态条件相关性(DCC)受若干经济和地缘政治事件的影响。在查看石油股票投资组合的最佳设计时,我们发现美国市场的投资者应拥有比原油资产更多的股票,以降低其投资组合风险。最后,与标准DCC-GARCH模型相比,使用DCC-FIAPARCH模型可明确说明长期记忆和非对称波动效应,从而使投资者能够以较低的成本有效地对冲其股票投资组合的风险。 (C)2014 Elsevier B.V.保留所有权利。

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