题名 | Term structure of interest rates with short-run and long-run risks |
作者 | |
通讯作者 | Grishchenko,Olesya V. |
发表日期 | 2022-11-01
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DOI | |
发表期刊 | |
EISSN | 2405-9188
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卷号 | 8页码:255-295 |
摘要 | We find that interest rate variance risk premium (IRVRP) — the difference between implied and realized variances of interest rates — is a strong predictor of U.S. Treasury bond returns of maturities ranging between one and ten years for return horizons up to six months. IRVRP is not subsumed by other predictors such as forward rate spread or equity variance risk premium. These results are robust in a number of dimensions. We rationalize our findings within a consumption-based model with long-run risk, economic uncertainty, and inflation non-neutrality. In the model IRVRP is related to short-run risk only, while standard forward-rate-based factors are associated with both short-run and long-run risks in the economy. Our model qualitatively replicates the predictability pattern of IRVRP for bond returns. |
关键词 | |
相关链接 | [Scopus记录] |
语种 | 英语
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学校署名 | 其他
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Scopus记录号 | 2-s2.0-85141290840
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:3
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/411820 |
专题 | 南方科技大学 |
作者单位 | 1.Division of Monetary Affairs,Federal Reserve Board,Washington, DC,20551,United States 2.Carey School of Business,John Hopkins University,Baltimore,100 International Drive,21202,United States 3.SUSTech Business School,Southern University of Science and Technology,China 4.PBC School of Finance,Tsinghua University,Beijing,43 Chengfu Road, Haidian District,100083,China |
推荐引用方式 GB/T 7714 |
Grishchenko,Olesya V.,Song,Zhaogang,Zhou,Hao. Term structure of interest rates with short-run and long-run risks[J]. Journal of Finance and Data Science,2022,8:255-295.
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APA |
Grishchenko,Olesya V.,Song,Zhaogang,&Zhou,Hao.(2022).Term structure of interest rates with short-run and long-run risks.Journal of Finance and Data Science,8,255-295.
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MLA |
Grishchenko,Olesya V.,et al."Term structure of interest rates with short-run and long-run risks".Journal of Finance and Data Science 8(2022):255-295.
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