Spurious cross-sectional dependence in credit spread changes

被引:0
|
作者
Jaskowski, Marcin [1 ]
McAleer, Michael [2 ,3 ,4 ,5 ,6 ,7 ]
机构
[1] Jagiellonian Univ, Fac Math & Comp Sci, Krakow, Poland
[2] Asia Univ, Dept Finance, Taichung, Taiwan
[3] Univ Sydney, Discipline Business Analyt, Business Sch, Camperdown, NSW, Australia
[4] Erasmus Univ, Econometr Inst, Erasmus Sch Econ, Rotterdam, Netherlands
[5] Univ Complutense Madrid, Dept Econ Anal, Madrid, Spain
[6] Univ Complutense Madrid, ICAE, Madrid, Spain
[7] Yokohama Natl Univ, Inst Adv Sci, Yokohama, Kanagawa, Japan
基金
澳大利亚研究理事会;
关键词
Credit spread puzzle; Market segmentation; Latent factors; Spurious cross-sectional dependence;
D O I
10.1016/j.ecosta.2019.09.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order to understand the lingering credit risk puzzle and the apparent segmentation of the stock market from credit markets, we need to be able to assess the strength of the cross-sectional dependence in credit spreads. This turns out to be a non-trivial task due to the extreme data sparsity that is typical for any panel of credit spreads that is extracted from corporate bond transactions. The problem of data sparsity has led to some erroneous conclusions in the literature, including inferences that have been drawn from spurious cross-sectional dependence in credit spread changes. Understanding the pitfalls leads to improved estimation of the latent factor in credit spread changes and its characteristics. (C) 2019 EcoSta Econometrics and Statistics. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:12 / 27
页数:16
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