Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/230142 
Erscheinungsjahr: 
2021
Quellenangabe: 
[Journal:] Journal of Forecasting [ISSN:] 1099-131X [Volume:] 40 [Issue:] 2 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2021 [Pages:] 269-278
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
Models based on factors such as size or value are ubiquitous in asset pricing. Therefore, portfolio allocation and risk management require estimates of the volatility of these factors. While realized volatility has become a standard tool for liquid assets, this measure is difficult to obtain for asset pricing factors such as size and value that include smaller illiquid stocks that are not traded at a high frequency. Here, we provide a simple approach to estimate the volatility of these factors. The efficacy of this approach is demonstrated using Monte Carlo simulations and forecasts of the market volatility.
Schlagwörter: 
asset pricing
factor models
realized volatility
volatility forecasting
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Dokumentart: 
Article
Dokumentversion: 
Published Version

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