L. Dynkin, P. Ferket, Jay Hyman, Erik P. van Leeuwen, Wei Wu
{"title":"信贷市场中证券选择与资产配置的价值","authors":"L. Dynkin, P. Ferket, Jay Hyman, Erik P. van Leeuwen, Wei Wu","doi":"10.3905/jpm.1999.319759","DOIUrl":null,"url":null,"abstract":"In this article, the authors quantify the relative merits of different styles of credit investing in a limiting ideal case. For portfolios of credit spread securities managed relative to fixed-income benchmarks, they investigate the value added by security selection and various asset allocation strategies based on “perfect foresight.” In conducting their historical study, they rely on the simulation of such strategies using data for the Lehman Brothers U.S. High Grade Corporate Index. Simulations of given strategy are matched to the index in every dimension but one. The success of each strategy is evaluated on the basis of the “information ratio” a ratio of the strategy's outperformance of the index to the standard deviation of such outperformance. The author's findings suggest that security selection with “perfect foresight” in a corporate bond portfolio is the single most effective way to generate steady outperformance of the index. This applies to both the “select winners” and the “avoid losers” cases. Yield curve timing, sector rotations, and credit rating selections may deliver more outperformance, but with higher variance. Results obtained in this study may be used to justify selection of bottom-up versus top-down portfolio management styles and allocation of research efforts and risk budgets.","PeriodicalId":280597,"journal":{"name":"Quantitative Management of Bond Portfolios","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Value of Security Selection versus Asset Allocation in Credit Markets\",\"authors\":\"L. Dynkin, P. Ferket, Jay Hyman, Erik P. van Leeuwen, Wei Wu\",\"doi\":\"10.3905/jpm.1999.319759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, the authors quantify the relative merits of different styles of credit investing in a limiting ideal case. For portfolios of credit spread securities managed relative to fixed-income benchmarks, they investigate the value added by security selection and various asset allocation strategies based on “perfect foresight.” In conducting their historical study, they rely on the simulation of such strategies using data for the Lehman Brothers U.S. High Grade Corporate Index. Simulations of given strategy are matched to the index in every dimension but one. The success of each strategy is evaluated on the basis of the “information ratio” a ratio of the strategy's outperformance of the index to the standard deviation of such outperformance. The author's findings suggest that security selection with “perfect foresight” in a corporate bond portfolio is the single most effective way to generate steady outperformance of the index. This applies to both the “select winners” and the “avoid losers” cases. Yield curve timing, sector rotations, and credit rating selections may deliver more outperformance, but with higher variance. Results obtained in this study may be used to justify selection of bottom-up versus top-down portfolio management styles and allocation of research efforts and risk budgets.\",\"PeriodicalId\":280597,\"journal\":{\"name\":\"Quantitative Management of Bond Portfolios\",\"volume\":\"2010 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Management of Bond Portfolios\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/jpm.1999.319759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Management of Bond Portfolios","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jpm.1999.319759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
在本文中,作者量化了在有限理想情况下不同信贷投资方式的相对优点。对于相对于固定收益基准管理的信用利差证券投资组合,他们研究了基于“完美预见”的证券选择和各种资产配置策略所增加的价值。在进行历史研究时,他们利用雷曼兄弟(Lehman Brothers)美国高评级公司指数(U.S. High Grade Corporate Index)的数据对这些策略进行了模拟。给定策略的仿真在除一个维度外的所有维度上都与索引匹配。每一种策略的成功与否都是根据“信息比率”来评估的,信息比率是指该策略的表现优于指数与这种表现的标准差之比。作者的研究结果表明,在公司债券投资组合中,具有“完美预见”的证券选择是产生稳定优于指数的唯一最有效方法。这既适用于“选择赢家”,也适用于“避免输家”。收益率曲线时机、行业轮换和信用评级选择可能会带来更多的优异表现,但会带来更高的方差。在本研究中获得的结果可以用来证明自下而上与自上而下的投资组合管理风格的选择,以及研究工作和风险预算的分配。
Value of Security Selection versus Asset Allocation in Credit Markets
In this article, the authors quantify the relative merits of different styles of credit investing in a limiting ideal case. For portfolios of credit spread securities managed relative to fixed-income benchmarks, they investigate the value added by security selection and various asset allocation strategies based on “perfect foresight.” In conducting their historical study, they rely on the simulation of such strategies using data for the Lehman Brothers U.S. High Grade Corporate Index. Simulations of given strategy are matched to the index in every dimension but one. The success of each strategy is evaluated on the basis of the “information ratio” a ratio of the strategy's outperformance of the index to the standard deviation of such outperformance. The author's findings suggest that security selection with “perfect foresight” in a corporate bond portfolio is the single most effective way to generate steady outperformance of the index. This applies to both the “select winners” and the “avoid losers” cases. Yield curve timing, sector rotations, and credit rating selections may deliver more outperformance, but with higher variance. Results obtained in this study may be used to justify selection of bottom-up versus top-down portfolio management styles and allocation of research efforts and risk budgets.