Volatility forecasting under the political uncertainty of the second Trump presidency
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F25%3A00142628" target="_blank" >RIV/00216224:14560/25:00142628 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1544612325020082" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1544612325020082</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.frl.2025.108754" target="_blank" >10.1016/j.frl.2025.108754</a>
Alternative languages
Result language
angličtina
Original language name
Volatility forecasting under the political uncertainty of the second Trump presidency
Original language description
This study examines the growing importance of the variance risk premium (VRP) in forecasting realized volatility during periods of heightened uncertainty. We propose a structured framework for the formal evaluation of the VIX1D index. Furthermore, using SPY data around the 2024 U.S. presidential election and Trump's inauguration, we provide evidence that augmenting HAR models with option-implied VRP, tailored to specific forecasting horizons, significantly improves both in-sample fit and out-of-sample forecast accuracy. The results remain robust in the benchmarking procedure against models enhanced by VIX9D, VIX, and short-term uncertainty proxies. The implied economic value of forward-looking risk measures in environments with increased uncertainty is complemented by utility-based evaluation that demonstrates welfare gains even in the presence of transaction costs. Our findings underscore the critical role of the option-derived information and substantiate its academic and practical relevance in uncertain settings.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
<a href="/en/project/GF25-14398L" target="_blank" >GF25-14398L: Variance Risk Premium: Insights from Short-Term Options, Cross-Sectional Analysis, and Driving Factors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Finance Research Letters
ISSN
1544-6123
e-ISSN
1544-6131
Volume of the periodical
86
Issue of the periodical within the volume
December
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1-15
UT code for WoS article
001612892600001
EID of the result in the Scopus database
2-s2.0-105022823311