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Frequency dependent risk

delete2021-05-01
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OA
AI
N
Neuhierl, Andreas *
R
Rasmus T. Varneskov
DOI:10.1016/j.jfineco.2021.01.007delete
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摘要

摘要

En 中文
We provide a model-free framework for studying the dynamics of the state vector and its risk prices. Specifically, we derive a frequency domain decomposition of the unconditional asset return premium in a general setting with a log-affine stochastic discount factor (SDF). Importantly, we show that the cospectrum between returns and the SDF only displays frequency dependencies through the state vector and that its dynamics and risk prices can be inferred from covariances between asset (portfolio) returns, that is, from the cross-section. Empirically, we find low and high-frequency state vector risk to be differentially priced for US equities. (C) 2021 Elsevier B.V. All rights reserved.
Keyword:
Asset pricing
Factor models
Nonparametric measures
Spectral analysis
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期刊

Journal of Financial Economics 封面图
Journal of Financial Economics
IF:
12
论文数:
3.8K
被引数:
5.5W

机构

C
Copenhagen Business School
学者数:
2.0K
论文数: 2.9K
被引数: 4.9K
W
washington university (wustl)
学者数:
5.5W
论文数: 4.5W
被引数: 70
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