NUS-RMI Credit Research Initiative Technical Report Version: 2016 Update 1

References

• Anderson, L., J. Sidenius and S. Basu (2003), All Your Hedges in One Basket. Risk, pp. 67–72. Google Scholar
• Basel Committee on Banking Supervision (BCBS)(2005b) Studies on the Validation of Internal Rating Systems (revised), Working Paper No. 14. Google Scholar
• Chopin, N. (2012), A Sequential Particle Filter Method for Static Models. Biometrika, 89, pp. 539–551. Crossref, Google Scholar
• CRI (2012), NUS-RMI Credit Research Initiative Technical Report. Global Credit Review, 2, pp. 109–167. Google Scholar
• Crosbie, P. and J. Bohn (2003), Modeling Default Risk. Moody’s KMV technical document. Google Scholar
• Del Moral, P., A. Doucet and A. Jasra (2006), Sequential Monte Carlo Samplers. Journal of Royal Statistical Society B, 68, pp. 411–436. Crossref, Google Scholar
• Duan, J.-C. (1994), Maximum Likelihood Estimation Using Price Data of the Derivative Contract. Mathematical Finance, 4, pp. 155–167. Crossref, Google Scholar
• Duan, J.-C. (2000), Correction: Maximum Likelihood Estimation Using Price Data of the Derivative Contract. Mathematical Finance, 10, pp. 461–462. Crossref, Google Scholar
• Duan, J.-C. (2010), Clustered Defaults. National University of Singapore Working Paper. Google Scholar
• Duan, J.-C. (2014), Actuarial Par Spread and Empirical Pricing of CDS by Decomposition. Global Credit Review, 04, pp. 51–65. Link, Google Scholar
• Duan, J.-C. and K. Shrestha (2011), Statistical Credit Rating Methods. Global Credit Review, pp. 43–64. Google Scholar
• Duan, J.-C. and E. Van Laere (2012), A Public Good Approach to Credit Ratings From Concept to Reality. Journal of Banking & Finance, 36, pp. 3239–3247. Crossref, Google Scholar
• Duan, J.-C. and T. Wang (2012), Measuring Distance-to-Default for Financial and Non-Financial Firms. Global Credit Review, 02, pp. 95–108. Link, Google Scholar
• Duan, J.-C., J. Sun and T. Wang (2012), Multiperiod Corporate Default Prediction — A Forward Intensity Approach. Journal of Econometrics, 170, pp. 191–209. Crossref, Google Scholar
• Duan, J. C. and A. Fulop (2013), Multiperiod Corporate Default Prediction with the Partially-Conditioned Forward Intensity. National University of Singapore Working Paper. Google Scholar
• Duffie, D., L. Saita and K. Wang (2007), Multi-Period Corporate Default Prediction with Stochastic Covariates. Journal of Financial Economics, 83, pp. 635–665. Crossref, Google Scholar
• Duffie, D., A. Eckner, G. Horel and L. Saita (2009), Frailty Correlated Default. Journal of Finance, pp. 2089–2123. Crossref, Google Scholar
• Kiefer, N. M., T. J. Vogelsang and H. Bunzel (2000), Simple Robust Testing of Regression Hypotheses. Econometrica, 68, pp. 695–714. Crossref, Google Scholar
• Merton, R. C. (1974), On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. Journal of Finance, 29, pp. 449–470. Crossref, Google Scholar
• Nelson, C. R. and A. F. Siegel (1987), Parsimonious Modeling of Yield Curves. Journal of Business, 60, pp. 473–489. Crossref, Google Scholar
• Shao, X. (2010), A Self-Normalized Approach to Confidence Interval Construction in Time Series. Journal of the Royal Statistical Society: Series B, 72, pp. 343–366. Crossref, Google Scholar
• Shumway, T. (2001), Forecasting Bankruptcy More Accurately: A Simple Hazard Model. Journal of Business, 74, pp. 101–124. Crossref, Google Scholar