Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium

dc.contributor.advisorAgarwal, Vineet
dc.contributor.authorBauer, Julian
dc.date.accessioned2012-06-29T09:28:40Z
dc.date.available2012-06-29T09:28:40Z
dc.date.issued2012-04
dc.description.abstractIn sharp contrast to the basic risk-return assumption of theoretical finance, the empirical evidence shows that distressed firms underperform non-distressed firms (e.g. Dichev, 1998; Agarwal and Taffler, 2008b). Existing literature argues that a shareholder advantage effect (Garlappi and Yan, 2011), limits of arbitrage (Shleifer and Vishny, 1997) or gambling retail investor (Kumar, 2009) could drive the underperformance. Herein, I test these potential explanations and explore the drivers of distress risk. In order to do so, I require a clean measure of distress risk. Measures of distress risk have usually been accounting-based, market-based or hybrids using both information sources. I provide the first comprehensive study that employs a variety of performance tests on different prediction models. Cont/d.en_UK
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/7313
dc.language.isoenen_UK
dc.publisherCranfield Universityen_UK
dc.rights© Cranfield University, 2012. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright owner.en_UK
dc.titleBankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premiumen_UK
dc.typeThesis or dissertationen_UK
dc.type.qualificationlevelDoctoralen_UK
dc.type.qualificationnamePhDen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Julian_Bauer_Thesis_2012.pdf
Size:
1.91 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description: