G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w11608
来源IDWorking Paper 11608
Estimating Bank Trading Risk: A Factor Model Approach
James O'; Brien; Jeremy Berkowitz
发表日期2005-09-12
出版年2005
语种英语
摘要Risk in bank trading portfolios and its management are potentially important to the banks%u2019 soundness and to the functioning of securities and derivatives markets. In this paper, proprietary daily trading revenues of 6 large dealer banks are used to study the bank dealers%u2019 market risks using a market factor model approach. Dealers%u2019 exposures to exchange rate, interest rate, equity, and credit market factors are estimated. A factor model framework for variable exposures is presented and two modeling approaches are used: a random coefficient model and rolling factor regressions. The results indicate small average market exposures with significant but relatively moderate variation in exposures over time. Except for interest rates, there is heterogeneity in market exposures across the dealers. For interest rates, the dealers have small average long exposures and exposures vary inversely with the level of rates. Implications for aggregate bank dealer risk and market stability issues are discussed.
主题Financial Economics ; Financial Institutions
URLhttps://www.nber.org/papers/w11608
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/569253
推荐引用方式
GB/T 7714
James O',Brien,Jeremy Berkowitz. Estimating Bank Trading Risk: A Factor Model Approach. 2005.
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