2014
DOI: 10.1007/s11146-014-9480-1
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What is Subordination About? Credit Risk and Subordination Levels in Commercial Mortgage-backed Securities (CMBS)

Abstract: Subordination is designed to provide credit risk protection for senior CMBS tranches by allocating the initial credit losses to the more junior tranches. Subordination level should in theory reflect the underlying credit risk of the CMBS pool. In this paper, we test the hypothesis that subordination is purely about credit risk as intended. We find a very weak relation between subordination levels and both the ex post and ex ante measures of credit risk, rejecting our null-hypothesis. Alternatively, we find tha… Show more

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Cited by 18 publications
(3 citation statements)
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References 23 publications
(23 reference statements)
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“…Изменение кредитного качества участников финансового рынка является важным критерием при определении направлений инвестирования (Becker, Milbourn, 2010;Gangolf, Dochow, Schmidt, Tamisier, 2014;Wang, Carson, 2014;An, Nichols, 2014). Как упоминалось во введении, рейтинговое агентство Moody's ввело 2 индикатора: рейтинговая активность и рейтинговый дрифт.…”
Section: рейтинговая активность и рейтинговый дрифтunclassified
“…Изменение кредитного качества участников финансового рынка является важным критерием при определении направлений инвестирования (Becker, Milbourn, 2010;Gangolf, Dochow, Schmidt, Tamisier, 2014;Wang, Carson, 2014;An, Nichols, 2014). Как упоминалось во введении, рейтинговое агентство Moody's ввело 2 индикатора: рейтинговая активность и рейтинговый дрифт.…”
Section: рейтинговая активность и рейтинговый дрифтunclassified
“…We analyze in detail two non-overlapping credit portfolios that operate on the same market. Moreover we include subordination levels [17,18,19]. At maturity time the senior creditor is paid out first and the junior subordinated creditor is only paid out if the senior creditor regained the full promised payment.…”
Section: Introductionmentioning
confidence: 99%
“…To ensure deal classifications are correct, we cross‐validate Trepp data with securitization data from Commercial Mortgage Alert (CMA) in a fashion similar to An et al . (2015) and manually inspect instances where classifications differ between the two sources to determine the correct pool classification.…”
mentioning
confidence: 99%