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A Study on the Comovement of Industry Default

Authors
Jeon, HaehyunKim, So-YeunKim, Changki
Issue Date
12월-2015
Publisher
KOREAN STATISTICAL SOC
Keywords
comovement; non-parametric statistics; multivariate correlation measure; concordance; industry default
Citation
KOREAN JOURNAL OF APPLIED STATISTICS, v.28, no.6, pp.1289 - 1312
Indexed
KCI
Journal Title
KOREAN JOURNAL OF APPLIED STATISTICS
Volume
28
Number
6
Start Page
1289
End Page
1312
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/91850
DOI
10.5351/KJAS.2015.28.6.1289
ISSN
1225-066X
Abstract
This paper studies the comovement of industry defaults among listed companies. Rank correlation coefficients of Spearman's rho and Kendall's tau measure the concordance of default. These non-parametric coefficients do not require distributional assumptions and are easily used even with less data and extreme values. This study predicts a future financial crisis by looking at the comovement of industry defaults. We expect our analyses will aid market participants (including company executives) in making investment or risk management decisions.
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