{"title":"油价和汇率会影响美国股市吗?来自非对称协整方法的新证据","authors":"R. Panagiotis, Katrakilidis Constantinos","doi":"10.47260/bae/8210","DOIUrl":null,"url":null,"abstract":"In this paper, we study the dynamics between US stock prices, exchange rates and oil prices. The data used are quarterly, covers the period from 1986 to 2016 and includes the Standard & Poor's 500 spot prices, the West Texas Intermediate spot prices and the effective exchange rate of US Dollar. We examine the presence of different sources of nonlinearities. The empirical analysis is based on the asymmetric ARDL cointegration methodology proposed by Shin et al (2011). The evidence implies that ignoring possible non-linearities lead to misleading results. The analysis reveals new evidence such as the existence of several structural brakes and asymmetries in both long-run and short-run relationships among the examined variables and that could be of major importance for researchers and other market participants.","PeriodicalId":344946,"journal":{"name":"Bulletin of Applied Economics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do oil prices and exchange rates affect the US stock market? New evidence from the asymmetric cointegration approach\",\"authors\":\"R. Panagiotis, Katrakilidis Constantinos\",\"doi\":\"10.47260/bae/8210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we study the dynamics between US stock prices, exchange rates and oil prices. The data used are quarterly, covers the period from 1986 to 2016 and includes the Standard & Poor's 500 spot prices, the West Texas Intermediate spot prices and the effective exchange rate of US Dollar. We examine the presence of different sources of nonlinearities. The empirical analysis is based on the asymmetric ARDL cointegration methodology proposed by Shin et al (2011). The evidence implies that ignoring possible non-linearities lead to misleading results. The analysis reveals new evidence such as the existence of several structural brakes and asymmetries in both long-run and short-run relationships among the examined variables and that could be of major importance for researchers and other market participants.\",\"PeriodicalId\":344946,\"journal\":{\"name\":\"Bulletin of Applied Economics\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Applied Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47260/bae/8210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Applied Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47260/bae/8210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文研究了美国股票价格、汇率和油价之间的动态关系。使用的数据是季度数据,涵盖1986年至2016年期间,包括标准普尔500现货价格、西德克萨斯中质原油现货价格和美元有效汇率。我们检查了非线性的不同来源的存在。实证分析基于Shin et al .(2011)提出的非对称ARDL协整方法。证据表明,忽略可能的非线性会导致误导性的结果。该分析揭示了新的证据,例如在被检查的变量之间的长期和短期关系中存在几种结构性制动器和不对称,这对研究人员和其他市场参与者可能具有重要意义。
Do oil prices and exchange rates affect the US stock market? New evidence from the asymmetric cointegration approach
In this paper, we study the dynamics between US stock prices, exchange rates and oil prices. The data used are quarterly, covers the period from 1986 to 2016 and includes the Standard & Poor's 500 spot prices, the West Texas Intermediate spot prices and the effective exchange rate of US Dollar. We examine the presence of different sources of nonlinearities. The empirical analysis is based on the asymmetric ARDL cointegration methodology proposed by Shin et al (2011). The evidence implies that ignoring possible non-linearities lead to misleading results. The analysis reveals new evidence such as the existence of several structural brakes and asymmetries in both long-run and short-run relationships among the examined variables and that could be of major importance for researchers and other market participants.