Laura Chiaramonte, (Frank) Hong Liu, Federica Poli, Mingming Zhou
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Bank risk is not directly observable, so empirical research relies on indirect measures. We evaluate how well Z-score, the widely used accounting-based measure of bank distance to default, can predict bank failure. Using the U.S. commercial banks’ data from 2004 to 2012, we find that on average, Z-score can predict 76% of bank failure, and additional set of other bank- and macro-level variables do not increase this predictability level. We also find that the prediction power of Z-score to predict bank default remains stable within the three-year forward window.
期刊介绍：
Financial Markets, Institutions and Instruments bridges the gap between the academic and professional finance communities. With contributions from leading academics, as well as practitioners from organizations such as the SEC and the Federal Reserve, the journal is equally relevant to both groups. Each issue is devoted to a single topic, which is examined in depth, and a special fifth issue is published annually highlighting the most significant developments in money and banking, derivative securities, corporate finance, and fixed-income securities.
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