...
首页> 外文期刊>Energy economics >Oil price uncertainty and the US stock market analysis based on a GARCH-in-mean VAR model
【24h】

Oil price uncertainty and the US stock market analysis based on a GARCH-in-mean VAR model

机译:基于平均GARCH VAR模型的油价不确定性和美国股市分析

获取原文
获取原文并翻译 | 示例
           

摘要

This paper uses a bivariate GARCH-in-mean VAR model to examine the effect of oil price uncertainty on the U.S. real stock returns at the aggregate and sectoral levels. Estimation results suggest that there is no statistically significant effect of oil price volatility on the U.S. stock returns. The absence of an uncertainty effect might be explained by the fact that companies are likely to hedge against fluctuations in oil prices. It could also stem from the ability of most companies to transfer the higher cost of oil to customers. Moreover, the impulse responses indicate that, accounting for oil price uncertainty, oil price increases and decreases have symmetric effects on the U.S. aggregate stock returns, in that energy price increases and decreases are estimated to have equal and opposite effects on the U.S. financial market: However, this symmetric effect doesn't hold across all the sectors studied in this paper. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文使用二元GARCH-in-mean VAR模型来检验油价不确定性在总体和部门水平上对美国实际股票收益的影响。估计结果表明,油价波动对美国股票收益率没有统计学上的显着影响。没有不确定性影响的原因可能是公司可能对冲油价波动这一事实。这也可能源于大多数公司将较高成本的石油转移给客户的能力。此外,脉冲响应表明,考虑到石油价格的不确定性,石油价格的上涨和下跌对美国总股本收益具有对称影响,因为能源价格的上涨和下跌被认为对美国金融市场具有同等相反的影响:但是,这种对称效应并不适用于本文研究的所有部门。 (C)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号