传染病的不确定性与美国国债已实现波动性的可预测性

IF 2 0 ECONOMICS
Sisa Shiba, Rangan Gupta
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引用次数: 1

摘要

本文旨在使用异质自回归波动率(HAV-RV)模型检验与传染病相关的日报指数不确定性(EMVID)对美国国债实现波动率(RV)的预测能力。在我们的样本外预测中,我们发现了强有力的重要证据,证明EMVID指数在预测美国国债短期、中期和长期波动性方面的作用,但美国2年期国债(T-Note)期货除外。评估EMVID指数在新冠肺炎事件中的作用,我们发现即使在这段短暂的时间内,该指数在预测美国国债方面的作用也非常重要。这些发现对投资组合经理和投资者具有重要意义,因为疫情和大流行性疾病带来了前所未有的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UNCERTAINTY RELATED TO INFECTIOUS DISEASES AND FORECASTABILITY OF THE REALIZED VOLATILITY OF US TREASURY SECURITIES
This paper aims to examine the predictive power of the daily newspaper-based index uncertainty related to infectious diseases (EMVID) for the US Treasury securities’ realized volatility (RV) using the heterogonous autoregressive volatility (HAV-RV) model. In our out-of-sample forecast, we find strong significant evidence on the role of the EMVID index in forecasting the volatility of the US Treasury securities in the short-, medium- and long-run horizons except for the US 2-Year Treasury-Note (T-Note) Futures. Assessing the EMVID index role during the COVID-19 episode, we find that even in this short period, the index role in predicting the US Treasury securities is highly significant. These findings have important implications for portfolio managers and investors in times of unprecedented levels of uncertainty resulting from epidemic and pandemic diseases.
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来源期刊
CiteScore
6.60
自引率
55.00%
发文量
30
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