Estimating the volatility of asset pricing factors

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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

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10998

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Sum total of downloads: 131




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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

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 91 69.47%
2 image of flag of United States United States 21 16.03%
3 image of flag of China China 6 4.58%
4 image of flag of No geo information available No geo information available 2 1.53%
5 image of flag of Ukraine Ukraine 2 1.53%
6 image of flag of Vietnam Vietnam 1 0.76%
7 image of flag of Taiwan Taiwan 1 0.76%
8 image of flag of Russian Federation Russian Federation 1 0.76%
9 image of flag of Pakistan Pakistan 1 0.76%
10 image of flag of Australia Australia 1 0.76%
    other countries 4 3.05%

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