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We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from … many micro companies, it offers unique insights into European small businesses. Second, it explores distress in a multi …-country setting, allowing for regional and country comparisons. Third, the models can capture changes in overall distress rates and co …
Persistent link: https://www.econbiz.de/10011862221
than half of the total value-added. In this paper, we develop distress prediction models for SMEs using a dataset from … overall distress rates. Moreover, SMEs across Europe are vulnerable to the same idiosyncratic factors but systematic factors …In the European Union, small and medium sized enterprises (SMEs) represent 99% of all businesses and contribute to more …
Persistent link: https://www.econbiz.de/10011109573
We develop distress prediction models for non-financial small and medium enterprises (SMEs) using a dataset from eight … companies, it offers unique insights into European small businesses. Second, it explores distress in a multi-country setting …, allowing for regional and country comparisons. Third, the models can capture changes in overall distress rates and co …
Persistent link: https://www.econbiz.de/10010720034
We develop distress prediction models for non-financial small and medium enterprises (SMEs) using a dataset from eight … companies, it offers unique insights into European small businesses. Second, it explores distress in a multi-country setting …, allowing for regional and country comparisons. Third, the models can capture changes in overall distress rates and co …
Persistent link: https://www.econbiz.de/10010900060
In this paper, we examine idiosyncratic and systematic distress predictors for small and medium sized enterprises (SMEs … factors but systematic factors vary. Moreover, systematic factors move average distress rates and small SMEs are more …) in Europe over the period 2000-2009. We find that SMEs across European regions are vulnerable to common idiosyncratic …
Persistent link: https://www.econbiz.de/10013007504
augments the prediction problem by covariate forecasting models. In this paper, we present simple alternatives for multi …
Persistent link: https://www.econbiz.de/10008939079
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...
Persistent link: https://www.econbiz.de/10010403045
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...
Persistent link: https://www.econbiz.de/10013115024
) and continuous-time Cox Proportional Hazards (CPH) model in predicting bankruptcy and financial distress of the United … States Small and Medium-sized Enterprises (SMEs). Consistent with the theoretical arguments, we report that discrete …
Persistent link: https://www.econbiz.de/10012937919
Persistent link: https://www.econbiz.de/10011585568