作为全球流动性风险指标的债券和大宗商品市场波动溢出分析

IF 0.9 4区 经济学 Q3 ECONOMICS
Ayşegül Kirkpinar, Pınar Evrim Mandaci
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引用次数: 0

摘要

本研究旨在从全球流动性风险的角度分析债券和商品市场之间的波动溢出效应。这些数据涵盖2008年1月至2022年1月期间特定国家(巴西、俄罗斯、印度、中国和土耳其)债券市场的每日收盘价,以及某些大宗商品(黄金和石油)的每日收盘价。我们利用DCC-GARCH模型分析了这些市场之间的波动溢出,并利用Copula DCC-GACRH模型确定了它们之间的依赖结构。此外,我们应用Hong因果关系方差检验来确定这些市场之间因果关系的方向。我们的实证研究结果表明,黄金和这些债券市场中的大多数(巴西、中国、俄罗斯和土耳其)之间,以及石油和其中一些债券市场(俄罗斯、印度和土耳其)之间存在显著的波动性溢出效应。我们的研究结果表明,投资者和投资组合经理的多元化收益有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A volatility spillover analysis between bond and commodity markets as an indicator for global liquidity risk
This study aims to analyze the volatility spillover between bond and commodity markets in terms of global liquidity risk. The data covers the daily closing prices of bond markets in specified countries - Brazil, Russia, India, China, and Turkey - and certain commodities - gold and oil - for the period January 2008 to January 2022. We utilized the DCC-GARCH model to analyze volatility spillover between these markets and the Copula DCC-GACRH model to determine dependence structures between them. Additionally, we applied the Hong Causality in Variance Test to determine the direction of the causal relationships between these markets. Our empirical findings indicate the existence of significant volatility spillovers between gold and most of these bond markets (Brazil, China, Russia, and Turkey), and between oil and some of these bond markets (Russia, India and Turkey). Our results indicate a limited diversification benefit for investors and portfolio managers.
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来源期刊
Panoeconomicus
Panoeconomicus ECONOMICS-
CiteScore
1.80
自引率
10.00%
发文量
31
审稿时长
40 weeks
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