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Estimating the volatility of asset pricing factors
Author(s) -
Becker Janis,
Leschinski Christian
Publication year - 2021
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.2713
Subject(s) - volatility (finance) , econometrics , stochastic volatility , volatility swap , portfolio , capital asset pricing model , implied volatility , economics , volatility risk premium , volatility smile , consumption based capital asset pricing model , forward volatility , financial economics
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.
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