dc.contributor.author |
Salisu, Afees A.
|
|
dc.contributor.author |
Demirer, Riza
|
|
dc.contributor.author |
Gupta, Rangan
|
|
dc.date.accessioned |
2024-01-15T06:11:49Z |
|
dc.date.available |
2024-01-15T06:11:49Z |
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dc.date.issued |
2023-12 |
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dc.description |
DATA AVAILABILITY STATEMENT : The data supporting this study's findings are available on request from the corresponding author. Some data are not publicly available due to privacy or ethical restrictions. |
en_US |
dc.description.abstract |
This paper provides novel insight into the growing literature on the policy uncertainty-stock market volatility nexus by examining the out-of-sample predictive ability of the quality of political signals over stock market volatility at various forecast horizons. Specifically, we examine whether or not accounting for the signal quality in forecasting models within a mixed frequency framework can improve forecast performance and help achieve economic gains for investors. Both in- and out-of-sample tests, based on a GARCH-MIDAS framework, show that the quality of the policy signal matters regarding the predictive role of policy uncertainty over subsequent stock market volatility. While high economic policy uncertainty (EPU) predicts high volatility, particularly when the signal quality is high, the positive relationship between EPU and volatility breaks down when the signal quality is low. The improved out-of-sample volatility forecasts obtained from the models that account for the quality of policy signals also help typical mean–variance investors achieve improved economic outcomes captured by higher certainty equivalent returns and Sharpe ratios. Although our results indicate clear distinctions between the US and UK stock markets in terms of how market participants process policy signals, they highlight the role of the quality of policy signals as a driver of volatility forecasts with significant economic implications. |
en_US |
dc.description.department |
Economics |
en_US |
dc.description.librarian |
hj2023 |
en_US |
dc.description.sdg |
SDG-08:Decent work and economic growth |
en_US |
dc.description.uri |
http://wileyonlinelibrary.com/journal/for |
en_US |
dc.identifier.citation |
Salisu, A. A., Demirer, R., & Gupta, R. (2023). Policy uncertainty and stock market volatility revisited: The predictive role of signal quality. Journal of Forecasting, 42(8),
2307–2321. https://doi.org/10.1002/for.3016. |
en_US |
dc.identifier.issn |
0277-6693 (print) |
|
dc.identifier.issn |
1099-131X (online) |
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dc.identifier.other |
10.1002/for.3016 |
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dc.identifier.uri |
http://hdl.handle.net/2263/93949 |
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dc.language.iso |
en |
en_US |
dc.publisher |
Wiley |
en_US |
dc.rights |
© 2023 The Authors. Journal of Forecasting published by John Wiley & Sons Ltd.
This is an open access article under the terms of the Creative Commons Attribution License. |
en_US |
dc.subject |
Economic policy uncertainty (EPU) |
en_US |
dc.subject |
Forecasting |
en_US |
dc.subject |
Market volatility |
en_US |
dc.subject |
Signal quality |
en_US |
dc.subject |
SDG-08: Decent work and economic growth |
en_US |
dc.title |
Policy uncertainty and stock market volatility revisited : the predictive role of signal quality |
en_US |
dc.type |
Article |
en_US |