ABS, MBS and CDO compared: an empirical analysis
Dennis Vink
MPRA Paper from University Library of Munich, Germany
Abstract:
The capital market in which asset-backed securities are issued and traded is composed of three main categories: ABS, MBS and CDOs. We were able to examine a total number of 3,466 loans (worth €548.85 billion) of which 1,102 (worth €163.90 billion) have been classified as ABS. MBS issues represent 1,782 issues (worth €320.83 billion), and 582 are CDO issues (worth €64.12 billion). We have investigated how common pricing factors compare for the main classes of securities. Due to the differences in the assets related to these securities, the relevant pricing factors for these securities should differ, too. Taking these three classes as a whole, we have documented that the assets attached as collateral for the securities differ between security classes, but that there are also important univariate differences to consider. We found that most of the common pricing characteristics between ABS, MBS and CDO differ significantly. Furthermore, applying the same pricing estimation model to each security class revealed that most of the common pricing characteristics associated with these classes have a different impact on the primary market spread exhibited by the value of the coefficients. The regression analyses we performed suggest that ABS, MBS and CDOs are in fact different instruments, as implied by the differences in impact of the pricing factors on the loan spread between these security classes.
Keywords: asset securitization; asset-backed securitisation; bank lending; default risk; risk management; spreads; leveraged financing (search for similar items in EconPapers)
JEL-codes: G0 G12 G21 (search for similar items in EconPapers)
Date: 2007-08-28, Revised 2008-09-09
New Economics Papers: this item is included in nep-rmg and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Published in The Journal of Structured Finance 2.14(2008): pp. 27-45
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/10381/2/MPRA_paper_10381.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:10381
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter (winter@lmu.de).