Subordinations Levels in Structured Financing

Submitted by Urban Insight on Wed, 07/25/2012 - 11:37
Author

Xudong An, Yongheng Deng and Anthony B. Sanders

Year Published
2006
Abstract
Subordination levels are of critical importance in the classic senior-subordinated
structure for securitized financing (such as collateralized debt obligations and commercial
mortgage-backed securities). Subordination levels determine the amount of credit support
that the senior bonds (or tranches) require from the subordinated bonds (or tranches) and
are provided by the rating agencies. Thus, ratings agencies play an important role in the
pricing and risk management of structured finance products.

The finance literature has numerous studies examining whether securities with
higher risk (as predicted by asset pricing models, such as the CAPM) earn higher ex-post
average returns. In a similar vein, it is of interest to examine whether securities (or
tranches) with greater levels of subordination experience higher ex-post levels of
delinquencies and default. In this paper, we examine whether bonds (or tranches) with
greater levels of subordination do, in fact, experience higher ex-post levels of
delinquencies and default.

Recent studies have found that rating agencies follow a "learning by doing"
approach in subordination structuring (Riddiough and Chiang, 2004). As expected, the
rating agencies were conservative in the early stages with regard to subordination levels
given the paucity of information about delinquencies, defaults and prepayments on loans.
As time progresses and more information is available regarding loan performance,
subordination levels adjusted to new levels. This paper focuses on cross sectional
differences in subordination levels. We examine if this relationship between
subordination and ex-post delinquencies and defaults is conforming to rational
expectation.

We perform both a deal level and a loan level analysis using commercial
mortgage-backed securities (CMBS). Our results show that the expected loss for CMBS
pools are a statistically significant factor in explaining both AAA and BBB bond
subordinations; however, expected loss accounts for less than 30 percent of the variation.
Even considering the rating agencies' practice of incorporating differences in loan terms,
borrower quality, deal structural and information quality into their subordination structure,
the empirical fit is still too low. These findings indicate the difficulty in determining
subordination levels apriori.
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