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Bond yield and crude oil prices predictability

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Kang, Jie
通讯作者:
Dai, Zhifeng(zhifengdai823@163.com)
作者机构:
[Dai, Zhifeng; Kang, Jie] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Zhifeng Dai] C
College of Mathematics and Statistics, Changsha University of Science and Technology, Hunan 410114, China
语种:
英文
关键词:
Asset allocation;Bond yield;Oil prices predictability;Out-of-sample forecasting;Predictive regression
期刊:
Energy Economics
ISSN:
0140-9883
年:
2021
卷:
97
页码:
105205
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71771030, 11301041]; Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [19A007]
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
Using long-term government bond yield (LTY), corporate bond yields spread (DFY) and Treasury bill rate (TBL) as the proxies, we find bond yield can effectively predict WTI and Brent spot prices. In-sample analysis indicates that bond yield variables have substantial explanatory power on oil returns, and there are significant Granger causality relationships from LTY and DFY to oil returns. In out-of-sample forecast, bond yield variables defeat historical average benchmark as well as the competing predictors from both statistical and economic per...

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