R. Ziegler, L. Williams, Roberto Reis, Joan E. Klingel, Douglas J. McReynolds, Philip J. Gallagher, Edward H. Friedman, Klaus M. Rarisch, P. Thorpe, A. Nilsen, L. Dowling, M. Siegel, Lillie P. Howard, William L. Hendrickson, P. Spartano, S. Dworkin, Ingeborg M. Kohn, Michael E. Williams, Ingeborg L. Carlson, D. W. Foster, L. B. Croft, James Karmon, James P. Gilroy, K. Isbell
{"title":"编辑的信","authors":"R. Ziegler, L. Williams, Roberto Reis, Joan E. Klingel, Douglas J. McReynolds, Philip J. Gallagher, Edward H. Friedman, Klaus M. Rarisch, P. Thorpe, A. Nilsen, L. Dowling, M. Siegel, Lillie P. Howard, William L. Hendrickson, P. Spartano, S. Dworkin, Ingeborg M. Kohn, Michael E. Williams, Ingeborg L. Carlson, D. W. Foster, L. B. Croft, James Karmon, James P. Gilroy, K. Isbell","doi":"10.3905/jfi.2000.390843","DOIUrl":null,"url":null,"abstract":"his issue of The Journal of Fixed Income is a fine symposium on the mortgage markets. Our lead article, by Arora, Heike, and Mattu, examines risk and return in mortgages from 1989 to 1999. The authors find average excess returns of 28 basis points versus the average index option-adjusted spread estimate of 77 basis points. They find that mortgage excess returns are highly correlated with those on investment-grade bonds. Additionally, mortgage spreads widen when rates fall and prepayment risk is high, so investors should hedge mortgages to only 80% of model durations. Next, Hayre, Chaudhary, and Young present an excellent current analysis of mortgage prepayments. This article is written simply enough to be accessible to those who do not analyze mortgages full-time, yet is thorough and contains enough new analysis to be of interest to those researchers who do focus on mortgages. Jegadeesh and Ju’s article presents their impressive non-parametric statistical analysis of prepayments using the “generalized additive model,” which handles the non-linearities of mortgages particularly well. Their model fits mortgage prepayments significantly better than other published models. Clapp, Harding, and LaCour-Little combine data on mortgage terminations with housing market data to separate borrowers who prepay due to mobility from those who prepay without moving. Borrowers with high expected mobility are found to be less likely to refinance. Poor credit scores and high loan-to-value ratios inhibit financings. Dynkin, Hyman, Konstantinovsky, and Mattu demonstrate a dynamic rebalancing strategy for mortgages, which produces an approximately constant-duration return series. They find that this constant-duration strategy retains most of the mortgage alpha, while having a tracking error similar to that for other spread products. Our concluding article is by Peterson, Pietranico, Riepe, and Vroom, who examine bond mutual funds. They find a positive correlation of fund performance with past performance and a negative correlation of performance with expenses, given a large database of mutual funds. 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引用次数: 0
摘要
他的那期《固定收益杂志》(The Journal of Fixed Income)是一篇关于抵押贷款市场的优秀专题讨论会。我们的主要文章由Arora, Heike和Mattu撰写,研究了1989年至1999年抵押贷款的风险和回报。作者发现,平均超额回报率为28个基点,而经指数期权调整后的平均价差估计为77个基点。他们发现,抵押贷款的超额回报与投资级债券的超额回报高度相关。此外,当利率下降和提前还款风险较高时,抵押贷款息差会扩大,因此投资者应仅将抵押贷款对冲至模型期限的80%。接下来,Hayre、Chaudhary和Young对抵押贷款提前支付进行了出色的分析。这篇文章写得很简单,对于那些不全职分析抵押贷款的人来说是可以理解的,但是它是彻底的,包含了足够的新分析,对于那些专注于抵押贷款的研究人员来说是有兴趣的。Jegadeesh和Ju的文章展示了他们使用“广义加性模型”对提前支付进行的令人印象深刻的非参数统计分析,该模型特别好地处理了抵押贷款的非线性。他们的模型明显比其他已发表的模型更适合抵押贷款提前支付。克拉普、哈丁和拉库尔-利特将抵押贷款终止的数据与住房市场数据结合起来,将因流动性而提前还款的借款人与不搬家而提前还款的借款人区分开来。研究发现,流动性预期较高的借款人不太可能进行再融资。低信用评分和高贷款价值比抑制了融资。Dynkin, Hyman, Konstantinovsky和Mattu展示了抵押贷款的动态再平衡策略,该策略产生了一个近似恒定持续时间的回报序列。他们发现,这种固定期限策略保留了大部分抵押贷款alpha,同时存在与其他利差产品类似的跟踪误差。我们的结论性文章是由Peterson, Pietranico, Riepe和Vroom撰写的,他们研究了债券共同基金。他们发现,在一个庞大的共同基金数据库中,基金业绩与过去的业绩呈正相关,而业绩与费用呈负相关。我们希望你喜欢本期的JFI。
his issue of The Journal of Fixed Income is a fine symposium on the mortgage markets. Our lead article, by Arora, Heike, and Mattu, examines risk and return in mortgages from 1989 to 1999. The authors find average excess returns of 28 basis points versus the average index option-adjusted spread estimate of 77 basis points. They find that mortgage excess returns are highly correlated with those on investment-grade bonds. Additionally, mortgage spreads widen when rates fall and prepayment risk is high, so investors should hedge mortgages to only 80% of model durations. Next, Hayre, Chaudhary, and Young present an excellent current analysis of mortgage prepayments. This article is written simply enough to be accessible to those who do not analyze mortgages full-time, yet is thorough and contains enough new analysis to be of interest to those researchers who do focus on mortgages. Jegadeesh and Ju’s article presents their impressive non-parametric statistical analysis of prepayments using the “generalized additive model,” which handles the non-linearities of mortgages particularly well. Their model fits mortgage prepayments significantly better than other published models. Clapp, Harding, and LaCour-Little combine data on mortgage terminations with housing market data to separate borrowers who prepay due to mobility from those who prepay without moving. Borrowers with high expected mobility are found to be less likely to refinance. Poor credit scores and high loan-to-value ratios inhibit financings. Dynkin, Hyman, Konstantinovsky, and Mattu demonstrate a dynamic rebalancing strategy for mortgages, which produces an approximately constant-duration return series. They find that this constant-duration strategy retains most of the mortgage alpha, while having a tracking error similar to that for other spread products. Our concluding article is by Peterson, Pietranico, Riepe, and Vroom, who examine bond mutual funds. They find a positive correlation of fund performance with past performance and a negative correlation of performance with expenses, given a large database of mutual funds. We hope you enjoy this issue of JFI.