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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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