Alqahtani Abdullah, Bouri Elie, Vo Xuan Vinh
Suffolk University, Boston, USA.
Adnan Kassar School of Business, Lebanese American University, Lebanon.
Econ Anal Policy. 2020 Dec;68:239-249. doi: 10.1016/j.eap.2020.09.017. Epub 2020 Sep 29.
Stock return predictability has always been one of the central themes of finance literature, given its crucial implications for investment decisions, risk management, and financial and monetary policymaking. This paper evaluates the in-sample and out-of-sample stock return predictive power of the global and Saudi geopolitical risk indices and crude oil returns in the context of six Gulf Cooperation Council (GCC) countries. Monthly data from February 2007 to December 2019 and the feasible generalized least square (FGLS) estimator for predictive modelling by Westerlund and Narayan (2012, 2015) are used. Global and Saudi GPR indices show weak evidence of in-sample predictability of excess stock returns. However, the out-of-sample forecasts show that only the global geopolitical risk index provides superior prediction in the context of Kuwaiti and Omani stock markets, compared to the historical average benchmark model. Crude oil prices are shown to be a better predictor in most cases, in both in-sample and out-of-sample forecast models The results imply that crude oil returns can be used for active prediction of GCC stock market returns, once econometric issues are accounted for. The findings remain mostly unaffected when excess risk adjusted returns are used.
鉴于股票回报可预测性对投资决策、风险管理以及金融和货币政策制定具有至关重要的影响,它一直是金融文献的核心主题之一。本文在六个海湾合作委员会(GCC)国家的背景下,评估了全球和沙特地缘政治风险指数以及原油回报对样本内和样本外股票回报的预测能力。使用了2007年2月至2019年12月的月度数据以及Westerlund和Narayan(2012年、2015年)用于预测建模的可行广义最小二乘法(FGLS)估计量。全球和沙特的地缘政治风险指数显示出样本内超额股票回报可预测性的微弱证据。然而,样本外预测表明,与历史平均基准模型相比,仅全球地缘政治风险指数在科威特和阿曼股票市场的背景下提供了更好的预测。在大多数情况下,无论是样本内还是样本外预测模型中,原油价格都显示出是更好的预测指标。结果表明,一旦计量经济学问题得到解决,原油回报可用于对海湾合作委员会股票市场回报进行主动预测。当使用经风险调整的超额回报时,研究结果大多不受影响。