This study analyzes five of the well-known and most cited distress prediction models in the literature. The models are implemented to continuous publicly listed industrial firms in Turkey through their original and re-estimated coefficients in a comparative way to examine their generalizability...

Using firm-level data, this study explores the microeconomic factors affecting global value chain (GVC) participation in Zimbabwe. GVCs are important as a result of the fragmentation of global production across countries. As expected, firm size and credit financing are important determinants in...

This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice; alternative forecasting...

External corporate financing typically involves contracts presenting a majority of the financial risks of the entrepreneurial activity on the entrepreneur. In academic literature, this one-sided risk allocation is usually justified by the informational advantages and unobservable actions of the...

We propose a new class of state space models for longitudinal discrete response data where the observation equation is specified in an additive form involving both deterministic and random linear predictors. These models allow us to explicitly address the effects of trend, seasonal or other...