Predicting probability of default of Indian corporate bonds: logistic andZ‐score model approaches
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DOI: 10.1108/15265940610664942
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Cited by:
- Shilpa Shetty H. & Theresa Nithila Vincent, 2024. "Corporate Default Prediction Model: Evidence from the Indian Industrial Sector," Vision, , vol. 28(3), pages 344-360, June.
- Tomislava Pavic Kramaric, 2023. "Performance of Slovenian Listed Firms during COVID-19 Out-break," International Journal of Economic Sciences, European Research Center, vol. 12(1), pages 163-177, May.
- Zaoxian Wang & Dechun Huang, 2023. "A New Perspective on Financial Risk Prediction in a Carbon-Neutral Environment: A Comprehensive Comparative Study Based on the SSA-LSTM Model," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
- Yonghyun Kwon & Seung Hun Han & Young Woo Koh, 2022. "Production Suspension, Corporate Governance, and Firm Value," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(10), pages 2711-2735, August.
- Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
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Keywords
India; Bonds; Modelling; Emerging markets;All these keywords.
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