{"title":"经济政策不确定性作为美国股市突然波动的指标","authors":"Paraskevi Tzika , Theologos Pantelidis","doi":"10.1016/j.qref.2024.01.002","DOIUrl":null,"url":null,"abstract":"<div><p>A two regime switching model is developed in an attempt to relate expected US stock market returns to deviations from fundamentals and to Economic Policy Uncertainty (EPU). The analysis is based on monthly data that cover the period from January 1900 to October 2022 and the EPU index is used as an explanatory variable. The findings suggest that the US stock market spends most of the time in a low-volatility regime, periodically switching to a high-volatility regime during times of financial instability. In an attempt to examine the forecasting ability of the model, out-of-sample probabilities of a crash and a boom are estimated recursively. The results provide evidence that our model is able to depict periods of abrupt movements in the US stock market. Finally, the estimated model and the associated probability of a crash are used to develop and evaluate a proposed trading strategy, in order to analyse the financial usefulness of the model. A simple simulation reveals that our trading rule produces statistically significant abnormal returns and manages to outperform the simple buy-and-hold strategy for the period before the Covid-19 crisis.</p></div>","PeriodicalId":47962,"journal":{"name":"Quarterly Review of Economics and Finance","volume":"94 ","pages":"Pages 93-103"},"PeriodicalIF":2.9000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Economic policy uncertainty as an indicator of abrupt movements in the US stock market\",\"authors\":\"Paraskevi Tzika , Theologos Pantelidis\",\"doi\":\"10.1016/j.qref.2024.01.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A two regime switching model is developed in an attempt to relate expected US stock market returns to deviations from fundamentals and to Economic Policy Uncertainty (EPU). The analysis is based on monthly data that cover the period from January 1900 to October 2022 and the EPU index is used as an explanatory variable. The findings suggest that the US stock market spends most of the time in a low-volatility regime, periodically switching to a high-volatility regime during times of financial instability. In an attempt to examine the forecasting ability of the model, out-of-sample probabilities of a crash and a boom are estimated recursively. The results provide evidence that our model is able to depict periods of abrupt movements in the US stock market. Finally, the estimated model and the associated probability of a crash are used to develop and evaluate a proposed trading strategy, in order to analyse the financial usefulness of the model. A simple simulation reveals that our trading rule produces statistically significant abnormal returns and manages to outperform the simple buy-and-hold strategy for the period before the Covid-19 crisis.</p></div>\",\"PeriodicalId\":47962,\"journal\":{\"name\":\"Quarterly Review of Economics and Finance\",\"volume\":\"94 \",\"pages\":\"Pages 93-103\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quarterly Review of Economics and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1062976924000085\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quarterly Review of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062976924000085","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Economic policy uncertainty as an indicator of abrupt movements in the US stock market
A two regime switching model is developed in an attempt to relate expected US stock market returns to deviations from fundamentals and to Economic Policy Uncertainty (EPU). The analysis is based on monthly data that cover the period from January 1900 to October 2022 and the EPU index is used as an explanatory variable. The findings suggest that the US stock market spends most of the time in a low-volatility regime, periodically switching to a high-volatility regime during times of financial instability. In an attempt to examine the forecasting ability of the model, out-of-sample probabilities of a crash and a boom are estimated recursively. The results provide evidence that our model is able to depict periods of abrupt movements in the US stock market. Finally, the estimated model and the associated probability of a crash are used to develop and evaluate a proposed trading strategy, in order to analyse the financial usefulness of the model. A simple simulation reveals that our trading rule produces statistically significant abnormal returns and manages to outperform the simple buy-and-hold strategy for the period before the Covid-19 crisis.
期刊介绍:
The Quarterly Review of Economics and Finance (QREF) attracts and publishes high quality manuscripts that cover topics in the areas of economics, financial economics and finance. The subject matter may be theoretical, empirical or policy related. Emphasis is placed on quality, originality, clear arguments, persuasive evidence, intelligent analysis and clear writing. At least one Special Issue is published per year. These issues have guest editors, are devoted to a single theme and the papers have well known authors. In addition we pride ourselves in being able to provide three to four article "Focus" sections in most of our issues.