经济政策不确定性作为美国股市突然波动的指标

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Paraskevi Tzika , Theologos Pantelidis
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引用次数: 0

摘要

本文建立了一个两制度转换模型,试图将美国股市的预期回报与基本面偏离和经济政策不确定性(EPU)联系起来。分析基于 1900 年 1 月至 2022 年 10 月期间的月度数据,EPU 指数被用作解释变量。研究结果表明,美国股市大部分时间处于低波动状态,在金融不稳定时期周期性地切换到高波动状态。为了检验模型的预测能力,我们对样本外崩盘和繁荣的概率进行了递归估计。结果证明,我们的模型能够描述美国股市的突然变动时期。最后,我们利用估算出的模型和相关的暴跌概率来制定和评估建议的交易策略,以分析模型在金融方面的实用性。一个简单的模拟显示,我们的交易规则产生了统计意义上的显著异常回报,并且在科威德-19 危机之前的时期,其表现优于简单的买入并持有策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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