The Securities and Exchange Commission, as a matter of policy, disclaims responsibility for
any private publication or statement by any of its employees. The views expressed herein …

The data explosion of the last few years from social media and 'big'data, along with the
impact of disruptive technologies, like blockchain and machine learning, have changed the …

Purpose This study updates the literature review of Jones (1987) published in this journal.
The study pays particular attention to two important themes that have shaped the field over …

After the so-called “crypto-winter”, decentralised finance (DeFi) is reviving interest in
cryptocurrency amongst the scientific community, public and private institutions, and …

The purpose of this study is to examine the effect of accrual earnings management and
business strategy to bankruptcy risk. Multiple Least Square (MLS) regression and robust …

In this book, two of America's leading economists provide the first integrated treatment of the
conceptual, practical, and empirical foundations for credit risk pricing and risk measurement …

We provide maximum likelihood estimators of term structures of conditional probabilities of
corporate default, incorporating the dynamics of firm-specific and macroeconomic …

We study the implications of imperfect information for term structures of credit spreads on
corporate bonds. We suppose that bond investors cannot observe the issuer's assets …

In this study, we apply several advanced machine learning techniques including extreme
gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to …

Logistic models are widely used in economics and other disciplines and are easily available
as part of many statistical software packages. This text for graduates, practitioners and …