Predicting firm-level volatility in the United States: the role of monetary policy uncertainty
DOI:
https://doi.org/10.17811/ebl.9.3.2020.167-177Abstract
Theoretically, there is exists a strong link between monetary policy rate uncertainty and equity return volatility, since asset pricing models assume the risk-free rate to be a key factor for equity prices. Most studies, however, focus on aggregate volatility proxies, ignoring the evidence that idiosyncratic risk could also be an important consideration, particularly for under-diversified investors and arbitrageurs. Given this, we examine firm-level annual data for the United States over 1997 to 2016, and show that monetary policy uncertainty does indeed contain significant predictive information over realized and implied volatilities at both the firm- and industry-level. The predictive power of monetary policy uncertainty is found to be robust across the low and high quantiles of volatility with higher policy uncertainty predicting higher firm-level volatility in subsequent periods. While the strongest possible volatility effect is observed in the case of Retail Trade, we observe opposite resuThis paper provides novel evidence for the This paper provides novel evidence for the predictive power of monetary policy uncertainty (MPU) over stock return volatility at the firm level based on a dataset constructed from 9,458 U.S. firms. Our findings show that monetary policy uncertainty contains significant predictive information over realized and implied volatilities at both the firm- and industry-level, with higher policy uncertainty predicting higher volatility in subsequent periods. While the strongest possible volatility effect is observed in the case of Retail Trade, we observe opposite results for Mining with high policy uncertainty predicting lower volatility in this sector. We argue that the dual nature of the underlying commodity for Mining companies, both as a consumption and investment asset, drives the negative effect of policy uncertainty on volatility in this sector. Nevertheless, the findings highlight the predictive information captured by monetary policy actions on the idiosyncratic component of equity market volatility.predictive power of monetary policy uncertainty (MPU) over stock return volatility at the firm level based on a dataset constructed from 9,458 U.S. firms. Our findings show that monetary policy uncertainty contains significant predictive information over realized and implied volatilities at both the firm- and industry-level, with higher policy uncertainty predicting higher volatility in subsequent periods. While the strongest possible volatility effect is observed in the case of Retail Trade, we observe opposite results for Mining with high policy uncertainty predicting lower volatility in this sector. We argue that the dual nature of the underlying commodity for Mining companies, both as a consumption and investment asset, drives the negative effect of policy uncertainty on volatility in this sector. Nevertheless, the findings highlight the predictive information captured by monetary policy actions on the idiosyncratic component of equity market volatility.lts for Mining with high policy uncertainty predicting lower volatility in this sector. We argue that the dual nature of the underlying commodity for Mining companies, both as a consumption and investment asset, drives the negative effect of policy uncertainty on volatility in this sector. Nevertheless, the findings highlight the predictive information captured by monetary policy actions on the idiosyncratic component of equity market volatility.
Downloads
Published
How to Cite
Issue
Section
License
The works published in this journal are subject to the following terms:
1. Oviedo University Press (the publisher) retains the property rights (copyright) of published works, and encourages and enables the reuse of the same under the license specified in paragraph 2.
© Ediuno. Ediciones de la Universidad de Oviedo / Oviedo University Press
2. The works are published in the online edition of the journal under a Creative Commons Attribution-Non Commercial-Non Derives 3.0 Spain (legal text). You can copy, use, distribute, transmit and publicly display, provided that: i) you cite the author and the original source of publication (journal, publisher and URL of the work), ii) they are not used for commercial purposes, iii) mentions the existence and specifications of this license.
3. Conditions of self-archiving. The author can archive the post-print version of the article (publisher’s version) on the author’s personal website and/or on the web of the institution where he belong, including a link to the page of the journal and putting the way of citation of the work. Economics and Business Letters and its URL https://reunido.uniovi.es/index.php/EBL/index are the only authorized source for correctly giving the reference of the publisher’s version in every mention of the article.