The Impact of Alternative Data on Default Probability: Analyzing the Italian E-commerce Sector with NLP and Network Structures
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DOI: 10.1007/s43069-025-00442-z
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- Robert A. Jarrow & Stuart M. Turnbull, 2008.
"Pricing Derivatives on Financial Securities Subject to Credit Risk,"
World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409,
World Scientific Publishing Co. Pte. Ltd..
- Jarrow, Robert A & Turnbull, Stuart M, 1995. "Pricing Derivatives on Financial Securities Subject to Credit Risk," Journal of Finance, American Finance Association, vol. 50(1), pages 53-85, March.
- Christian Lohmann & Thorsten Ohliger, 2019. "Using accounting‐based information on young firms to predict bankruptcy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(8), pages 803-819, December.
- David J. Hand, 2012. "Assessing the Performance of Classification Methods," International Statistical Review, International Statistical Institute, vol. 80(3), pages 400-414, December.
- Xin Wang & Kai Zong & Cuicui Luo, 2022. "Credit risk detection based on machine learning algorithms," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 11(3), pages 183-189.
- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
- Jomark Pablo Noriega & Luis Antonio Rivera & José Alfredo Herrera, 2023. "Machine Learning for Credit Risk Prediction: A Systematic Literature Review," Data, MDPI, vol. 8(11), pages 1-17, November.
- Zhuoqi Teng & Yugang He & Renhong Wu, 2022. "E-Commerce: Does Sustainable Logistics Development Matter?," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
- Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
- Robert B. Avery & Raphael W. Bostic & Paul S. Calem & Glenn B. Canner, 1996. "Credit risk, credit scoring, and the performance of home mortgages," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 82(Jul), pages 621-648, July.
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Keywords
Text embedding; Supervised learning; Probability of default; E-commerce sector; Alternative data;All these keywords.
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