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Predicting corporate bankruptcy

Existing models used to predict global risk and bankruptcy just aren’t cutting it. Professor Stewart Jones is using new and more sophisticated machine learning technologies that can translate big data into highly accurate predictions about the future.

Stewart says the new technologies are set to benefit banks, companies and investors, as their outputs can assist with making the right choices when it comes to lending money, managing business operations and making investments.

This new research will help a variety of stakeholders better understand how and why companies fail. “We can learn from those failings and actually make business stronger in the future,” said Stewart.


Podcast

Listen to an interview with Professor Stewart Jones to learn more.

Published work

Jones S, Johnstone D and Wilson R 2017 'Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Models', Journal of Business Finance and Accounting, vol.44:1-2, pp. 3-34

Jones S 2017 'Corporate Bankruptcy Prediction: A High Dimensional Analysis', Review of Accounting Studies, vol.22:3, pp. 1366-422