Bankruptcy Prediction With Industry Effects

By Sudheer Chava, Robert A. Jarrow. 2004

1,013 citations recorded by the source corpus.

Subfields: Accounting, Finance

View Paper: https://www.semanticscholar.org/paper/0e0a7adc094ef92e6c4707480cdaf4b4b2beb435

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Amiyatosh Purnanandam
2. Maria Correia
3. Hongjun Yan
4. Sudheer Chava
5. Lorenzo Garlappi
6. Tao Shu
7. İ. Tuna
8. Yili Lian

In Finance

1. Amiyatosh Purnanandam
2. Hongjun Yan
3. Sudheer Chava
4. Lorenzo Garlappi
5. Maria Correia
6. İ. Tuna
7. Jens Hilscher
8. Tao Shu

Citations in the corpus

• Default Risk, Shareholder Advantage, and Stock Returns* (2008, positive): “Campbell, Hilscher, and Szilagyi (2005) study the determinants of corporate bankruptcy using a hazard model approach, similar to that in Shumway (2001) and Chava and Jarrow (2002). Using the resulting forecasting measure of default probability, they also find that firms with a high probability of ba”
• Mitigating the pro-cyclicality of basel II (2010, positive): “These results are in line with those in the related literature; for example, Chava and Jarrow (2004) obtain an AR of 53%.”
• Cash Holdings and Credit Risk (2012, neutral): “1 Other prominent studies include Ohlson (1980), Zmijewski (1984), Shumway (2001), and Chava and Jarrow (2004).”
• Corporate Governance and Bankruptcy Risk (2016, positive): “(2010) and Coles et al. (2008) find that operating performance only benefits from the advice of outside directors in cases where it is relatively easier for them to learn more about the firm. These results suggest that there may be a trade-off between the monitoring role of the board (which may bene”
• Is Default Risk Negatively Related to Stock Returns (2010, methodology): “We follow Shumway (2001) and Chava and Jarrow (2004) for the construction of hazard models. We estimate the discrete time hazard model using the logistic model. Our data contains one record for each year the firm is in existence from the year of listing to the year the firm is delisted (either becau”
• Do Shareholder Rights Affect the Cost of Bank Loans (2009, methodology): “Cox models are statistically superior for bankruptcy prediction as they take the time at risk into consideration (See Shumway (2001) and Chava and Jarrow (2004)).”
• Customer Concentration and Loan Contract Terms (2017, positive): “In this section, we match our customer and loan datasets with the Sudheer Chava’s bankruptcy database (updated from Chava and Jarrow (2004)) to test the idea that customer concentration is related to loan failures.”
• Predicting Financial Distress and the Performance of Distressed Stocks (2011, methodology): “Our model takes as a starting point the model proposed by Shumway (2001) and used by Chava and Jarrow (2004), and (cid:133)ve of our eight explanatory variables are closely related to variables used in these models.”
• Predicting Bankruptcy with Robust Logistic Regression (2021, background): “Hence, there is a great need to develop accurate quantitative models for prediction of corporate bankruptcy.”