Safe Haven Assets - The Bigger Picture

Mutual Funds Pub Date : 2021-03-09 DOI:10.2139/ssrn.3800872
D. Baur, T. Dimpfl, Konstantin Kuck
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引用次数: 6

Abstract

This paper proposes a new approach to identify safe haven assets and to characterize their relationship with the market. We use quantile regression to analyze the returns of potential safe haven assets conditional on all market conditions including periods of financial turmoil. We find a trade-off, i.e., stronger in-crisis performance of safe haven assets is associated with weaker out-crisis performance and vice versa for risky assets. Our analysis confirms the safe haven properties of gold and U.S. government bonds and presents clear differences between safe haven assets and safe assets, and between safe haven assets and risky assets such as Bitcoin.
避险资产-更大的图景
本文提出了一种新的方法来识别避险资产,并描述其与市场的关系。我们使用分位数回归来分析所有市场条件下潜在避险资产的回报,包括金融动荡时期。我们发现了一种权衡关系,即避险资产的危机内表现较强与危机外表现较弱相关,风险资产反之亦然。我们的分析证实了黄金和美国国债的避险属性,并呈现出避险资产与安全资产、避险资产与比特币等风险资产之间的明显差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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