Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium
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),...
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ndltd-CRANFIELD1-oai-dspace.lib.cranfield.ac.uk-1826-73132013-04-19T15:21:01ZBankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk PremiumBauer, JulianIn 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.Cranfield UniversityAgarwal, Vineet2012-06-29T09:28:40Z2012-06-29T09:28:40Z2012-04Thesis or dissertationDoctoralPhDhttp://dspace.lib.cranfield.ac.uk/handle/1826/7313en© Cranfield University, 2012. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright owner. |
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language |
en |
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NDLTD |
description |
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. |
author2 |
Agarwal, Vineet |
author_facet |
Agarwal, Vineet Bauer, Julian |
author |
Bauer, Julian |
spellingShingle |
Bauer, Julian Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
author_sort |
Bauer, Julian |
title |
Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
title_short |
Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
title_full |
Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
title_fullStr |
Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
title_full_unstemmed |
Bankruptcy Risk Prediction and Pricing: Unravelling the Negative Distress Risk Premium |
title_sort |
bankruptcy risk prediction and pricing: unravelling the negative distress risk premium |
publisher |
Cranfield University |
publishDate |
2012 |
url |
http://dspace.lib.cranfield.ac.uk/handle/1826/7313 |
work_keys_str_mv |
AT bauerjulian bankruptcyriskpredictionandpricingunravellingthenegativedistressriskpremium |
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1716581380876402688 |