Becker, J.; Leschinski, C.: Estimating the volatility of asset pricing factors. In: Journal of Forecasting 40 (2020), Nr. 2, S. 269-278. DOI: https://doi.org/10.1002/for.2713
Abstract: | |
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. © 2020 The Authors. Journal of Forecasting Published by John Wiley & Sons, Ltd. | |
License of this version: | CC BY-NC 4.0 Unported |
Document Type: | Article |
Publishing status: | publishedVersion |
Issue Date: | 2020 |
Appears in Collections: | Wirtschaftswissenschaftliche Fakultät |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | Germany | 91 | 69.47% | |
2 | United States | 21 | 16.03% | |
3 | China | 6 | 4.58% | |
4 | No geo information available | 2 | 1.53% | |
5 | Ukraine | 2 | 1.53% | |
6 | Vietnam | 1 | 0.76% | |
7 | Taiwan | 1 | 0.76% | |
8 | Russian Federation | 1 | 0.76% | |
9 | Pakistan | 1 | 0.76% | |
10 | Australia | 1 | 0.76% | |
other countries | 4 | 3.05% |
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