Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/178543
Authors: 
Chen, Wei-ling
So, Leh-chyan
Year of Publication: 
2014
Citation: 
[Journal:] Journal of Risk and Financial Management [ISSN:] 1911-8074 [Volume:] 7 [Year:] 2014 [Issue:] 1 [Pages:] 13-27
Abstract: 
Bharath and Shumway (2008) provide evidence that shows that it is the functional form of Merton's (1974) distance to default (DD) model that makes it useful and important for predicting defaults. In this paper, we investigate whether the default predictability of the Merton DD model would be affected by taking investors' ambiguity aversion into consideration. The Cox proportional hazard model is used to compare the forecasting power of Bharath and Shumway's naive model, which retains the functional form of the Merton DD model and computes the default probability in a naive way, with our new model, which treats investors' ambiguity aversion as additional information. We provide evidence to show that our new model performs better than Bharath and Shumway's naive model. In addition, our empirical results show that the statistical significance of Bharath and Shumway's naive default probability is retained in the credit default swap (CDS) spread regressions, though the sign of the coefficient is changed. However, both the sign and the statistical significance of our model are retained in the CDS spread regressions.
Subjects: 
Merton’s distance to default model
naive model
default probability
ambiguity aversion
consumer confidence index
statistical significance
JEL: 
G11
G32
G33
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/3.0/
Document Type: 
Article
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