信用风险的动态联系:危机时期货币和衍生品市场的时变相关性建模

IF 0.3 4区 经济学 Q4 BUSINESS, FINANCE
Weiou Wu, D. McMillan
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引用次数: 4

摘要

本文研究了2004 - 2009年货币市场和衍生品市场之间信用风险的动态联系。我们使用美国国库券-欧洲美元(TED)价差来衡量货币市场的信用风险,并使用衍生品市场的信用违约互换(CDS)指数价差来衡量衍生品市场的信用风险。采用动态条件相关- Glosten-Jagannathan-Runkle -广义自回归条件异方差模型来测量这些联系。结果表明,在危机前,TED价差与CDS指数价差之间的相关性在零附近波动。虽然这种相关性在危机前有所增加,但在危机期间却明显上升。最后,相关性在2009年初有所下降,但仍维持在0.05至0.1之间的水平,高于危机前的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Linkages in Credit Risk: Modeling the Time-Varying Correlation between the Money and Derivatives Markets Over the Crisis Period
This paper examines the dynamic linkages in credit risk between the money market and the derivatives market during 2004–9. We use the T-bill–Eurodollar (TED) spread to measure credit risk in the money market and the credit default swap (CDS) index spread for the derivatives market. The linkages are measured by a dynamic conditional correlation – Glosten–Jagannathan–Runkle – generalized auto regressive conditional heteroscedasticity model. The results show that the correlation between the TED spread and the CDS index spread fluctuated around zero prior to the crisis. While the correlation increased before the crisis, it moved notably higher during the crisis. Finally, the correlation fell in early 2009 but persisted at a level between 0.05 and 0.1, higher than the precrisis period.
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来源期刊
Journal of Risk
Journal of Risk BUSINESS, FINANCE-
CiteScore
1.00
自引率
14.30%
发文量
10
期刊介绍: This international peer-reviewed journal publishes a broad range of original research papers which aim to further develop understanding of financial risk management. As the only publication devoted exclusively to theoretical and empirical studies in financial risk management, The Journal of Risk promotes far-reaching research on the latest innovations in this field, with particular focus on the measurement, management and analysis of financial risk. The Journal of Risk is particularly interested in papers on the following topics: Risk management regulations and their implications, Risk capital allocation and risk budgeting, Efficient evaluation of risk measures under increasingly complex and realistic model assumptions, Impact of risk measurement on portfolio allocation, Theoretical development of alternative risk measures, Hedging (linear and non-linear) under alternative risk measures, Financial market model risk, Estimation of volatility and unanticipated jumps, Capital allocation.
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