The DRSK private firm model produces estimates of real-world default probabilities (DPs) for private companies. The product covers all firms for which the requisite data is available, providing point in time DP term structures for about 500,000 private firms globally.This year, we are...

This paper extends the baseline Merton (1974) structural default model, which is intended for static debt spreads, to a setting with dynamic debt, where leverage can be ratcheted up as well as written down through pre-specified exogenous policies. We provide a different and novel solution...

We investigate the spatial dependence between commercial and residential mortgage defaults. A new class of observation-driven frailty factor models is introduced to do so. The idea of dynamic parameters embedded in the class of GAS models is utilized to estimate dynamic models of default risk...

We analyzed default likelihood of North-American corporate obligors in 1995-2014 using Moody's DRD quarterly data for both public and private borrowers. Emergency actions by the lender of last resort (LOLR) during 2008-2009 were a novelty so the impact on credit quality of bank portfolios and...

This paper proposes a machine learning approach to estimate physical forward default intensities. Default probabilities are computed using artificial neural networks to estimate the intensities of the inhomogeneous Poisson processes governing default process. The major contribution to previous...

Credit pricing models largely fall into two classes - the structural models and the reduced form models. Attempts have been made to reconcile the two approaches by adjusting filtrations to restrict information, but they are technically complicated and tend to approach filtration modification in...

The Lehman Brothers' bankruptcy triggered the failure of the collateralized debt markets, which was a major contributor of the financial crisis in 2008. Such collateralized debt markets have both collateral price channel and counterparty (borrower and lender) channel of contagion. I propose a...

Default probability is a fundamental variable determining the credit worthiness of a firm and equity volatility estimation plays a key role in its evaluation. Assuming a structural credit risk modeling approach, we study the impact of choosing different non parametric equity volatility...

Using a local adaptive Forward Intensities Approach (FIA) we investigate multiperiod corporate defaults and other delisting schemes. The proposed approach is fully datadriven and is based on local adaptive estimation and the selection of optimal estimation windows. Time-dependent model...