A forward intensity model for the prediction of corporate defaults over different future periods is proposed. Maximum pseudo-likelihood analysis is then conducted on a large sample of the US industrial and financial firms spanning the period 1991-2011 on a monthly basis. Several commonly used...

There have been 128 defaults among U.S. CDS reference entities between 2001 and 2020. Within this sample, the five-year CDS spread is a significant predictor of corporate default in models with equity market covariates and firm attributes. This finding holds for forecast horizons up to 12...

This paper investigates the resilience of non-financial firms in Mongolia against financial distress. Utilizing firm-level financial data from 2013 to 2022, we employed a LASSO variable selection technique and logistic regression analysis to develop a distress prediction model for these firms....

The aim of this article is to prove the key role of the structure of the research sample used for accuracy determining on the accuracy of bankruptcy models. The creators of these models report the accuracy usually in the range of 60 to 90%. The authors of this article claim that these values are...

The transition from the state ownership to market mechanisms in Hungary fundamentally altered the geography of domestic micro, small, and medium enterprises (SMEs). This study investigates the spatial and temporal evolution of owner numbers, using data on all Hungarian SMEs between 1991 and 2019...

The aim of this paper is to assess the reliability of alternative default prediction models in local conditions, with subsequent comparison with other generally known and globally disseminated default prediction models, such as Altman's Z-score, Quick Test, Creditworthiness Index, and Taffler's...

The COVID-19 crisis has revealed the economic vulnerability of various countries and, thus, has instigated the systematic exploration and forecasting of sovereign default risks. Multivariate statistical and stochastic process-based sovereign default risk forecasting has a 50-year developmental...