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

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dc.contributor.advisor Agarwal, Vineet
dc.contributor.author Bauer, Julian
dc.date.accessioned 2012-06-29T09:28:40Z
dc.date.available 2012-06-29T09:28:40Z
dc.date.issued 2012-04
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/7313
dc.description.abstract In 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.language.iso en en_UK
dc.publisher Cranfield University en_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.title Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium en_UK
dc.type Thesis or dissertation en_UK
dc.type.qualificationlevel Doctoral en_UK
dc.type.qualificationname PhD en_UK


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