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Dynamics of oil price shocks and stock market behavior in Pakistan: evidence from the 2007 financial crisis period

机译:巴基斯坦石油价格冲击和股票市场行为的动态:来自2007年金融危机时期的证据

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Abstract Background The aim of this study is to investigate the effect of the oil price and its volatility on the stock market of Pakistan before and after the 2007 financial crisis period. Methods The analyses are carried out on daily data for the period from July 31, 2000 to July 31, 2014. This study uses several econometric techniques for the analyses, namely, the Johansen-Juselius cointegration test, generalized autoregressive conditional heteroskedasticity (GARCH) model, exponential generalized autoregressive conditional heteroskedasticity (EGARCH) model, variance decomposition method, and impulse response function. Results The results of the cointegration method indicate a significant long-run association between stock market and oil prices in the pre-crisis period. The EGARCH model shows that oil price returns have a significant effect on stock market returns in both sub-periods, while the result for the GARCH model is significant only in the post-crisis period. We find a significant effect of oil price volatility on the stock market in both sub-periods from the GARCH model. Furthermore, the EGARCH model shows an asymmetric effect of oil price volatility on the stock market in the pre-crisis period. Variance decomposition shows that stock market variations are mostly explained by self-innovation. Moreover, the impulse response function results show that oil price shocks affected the stock market adversely in the pre-crisis period but positively in the post-crisis period. Conclusions This study suggests that economic policymakers and investors should consider the oil price as an important factor affecting stock market returns.
机译:摘要背景本研究的目的是调查油价及其波动对巴基斯坦在2007年金融危机前后的影响。方法采用2000年7月31日至2014年7月31日的每日数据进行分析。本研究使用几种计量经济学技术进行分析,即Johansen-Juselius协整检验,广义自回归条件异方差(GARCH)模型,指数广义自回归条件异方差(EGARCH)模型,方差分解方法和脉冲响应函数。结果协整方法的结果表明,在危机前,股票市场与油价之间存在着长期的长期联系。 EGARCH模型表明,在两个子时期中,油价收益率都对股票市场收益有重大影响,而GARCH模型的结果仅在危机后时期才有意义。我们从GARCH模型的两个子时期中都发现了油价波动对股票市场的重大影响。此外,EGARCH模型显示了危机前时期油价波动对股票市场的非对称影响。方差分解表明,股市变化主要由自我创新解释。此外,脉冲响应函数结果表明,石油价格冲击在危机前对股票市场产生了不利影响,但在危机后时期对股票市场产生了积极影响。结论该研究表明,经济政策制定者和投资者应将油价视为影响股市收益的重要因素。

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