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A new measure of cross-sectional risk and its empirical implications for portfolio risk management

机译:一种横断面风险的新度量及其对投资组合风险管理的经验意义

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Litterman et al. [Litterman, R., Scheinkman, J., Weiss, L., 1991. Volatility and the yield curve. Journal of Fixed Income 1 (June), 49-53] and Engle and Ng [Engle, R.F., Ng, V.K., 1993. Time-varying volatility and the dynamic behavior of the term structure. Journal of Money, Credit and Banking 25(3), 336-349] provide empirical evidence of a relation between yield curve shape and volatility. This study offers theoretical support for that finding in the general context of cross-sectional time series. We introduce a new risk measure quantifying the link between cross-sectional shape and market risk. A simple econometric procedure allows us to represent the risk experienced by cross-sections over a time period in terms of independent factors reproducing possible cross-sectional deformations. We compare our risk measure to the traditional cross-yield covariance according to their relative performance. Empirical investigation in the US interest rate market shows that (1) cross-shape risk factors outperform cross-yield risk factors (i.e., yield curve level, slope, and convexity) in explaining the market risk of yield curve dynamics; (2) hedging multiple liabilities against cross-shape risk delivers superior trading strategies compared to those stemming from cross-yield risk management.
机译:Litterman等。 [Litterman,R.,Scheinkman,J.,Weiss,L.,1991。波动率和收益率曲线。 Journal of Fixed Income 1(June),49-53]和Engle和Ng [Engle,R.F.,Ng,V.K.,1993。时变波动率和期限结构的动态行为。货币,信贷和银行杂志25(3),336-349]提供了收益率曲线形状和波动率之间关系的经验证据。这项研究为横截面时间序列的一般研究结果提供了理论支持。我们推出了一种新的风险衡量方法,可量化横截面形状和市场风险之间的联系。简单的计量经济学程序使我们能够根据独立的因素来再现横截面在一段时间内所经历的风险,这些因素会重现可能的横截面变形。我们根据相对绩效将我们的风险度量与传统的交叉收益协方差进行比较。美国利率市场的实证研究表明:(1)在解释收益率曲线动态的市场风险时,十字形风险因素优于交叉收益率风险因素(即收益率曲线水平,斜率和凸率); (2)与交叉收益风险管理产生的风险相比,对冲多种风险以应对交叉风险可以提供更好的交易策略。

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