Ph.D., FCPA., C.A.
H69 - The Economics and Business Building
The University of Sydney
NSW 2006 Australia
|Telephone||+61 2 9351 7755|
|Fax||+61 2 9351 6638|
|Curriculum vitae||Curriculum vitae|
Stewart Jones' specialist area in research is corporate financial reporting. Over the past decade he has published over 100 scholarly research pieces in financial reporting/accounting, including nearly sixty refereed articles, ten books, and numerous book chapters, working papers and short monographs. Stewart's most recent books are "Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction" published by the Cambridge University Press (UK) and the third edition of "Financial Accounting Theory" published by Cengage Learning, Sydney. Stewart's research interests cover such topics as credit risk and corporate distress analysis, accounting theory, standard setting, international standards harmonization, financial analysis and research methodology (with a particular interest in discrete choice modelling and stated preference experiments). He has been very successful in acquiring numerous research grants from competitive grant schemes, including five Large ARC grants over the past four years, totalling more than $2M. Stewart is currently Editor-in-Chief of the prestigious international quarterly, Abacus. Stewart's industry experience includes the interpretation of accounting standards; financial analysis and regulation; credit risk modelling and corporate performance analysis.
This study empirically evaluates a range of "new age" credit risk models using a large global sample of failed firms and bond ratings data. The study will provide a substantive body of empirical evidence to assist regulators, creditors, investors and other users assess the merits, strengths and limitations of alternative risk modelling approaches.
ARC Discovery Project
- Accounting standards and standard setting
- Accounting theory
- Credit risk and corporate distress analysis
- Financial analysis
- Research methodology (discrete choice modelling & stated preference experiments)