Is the Distance to Default a Good Measure in Predicting Bank Failures? Case Studies

Working Paper: NBER ID: w16182

Authors: Kimie Harada; Takatoshi Ito; Shuhei Takahashi

Abstract: This paper examines the movements of the Distance to Default (DD), a market-based measure of corporate default risk, of eight failed Japanese banks in order to evaluate the predictive power of the DD measure for bank failures. The DD became smaller in anticipation of failure in many cases. The DD spread, defined as the DD of a failed bank minus the DD of sound banks, was also a useful indicator for deterioration of a failed bank's health. For some banks, neither the DD nor the DD spread predicted the failures. However, those results were partly due to lack of transparency in financial statements and disclosed information.

Keywords: No keywords provided

JEL Codes: G19; G21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Lack of Public Information (D82)Predictive Power of DD (C52)
Distance to Default (DD) (Y20)Bank Failure (G28)
DD Spread (Y10)Bank Health (G21)
Distance to Default (DD) (Y20)Financial Distress (G33)

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