Showing 1 - 10 of 12
This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...
Persistent link: https://www.econbiz.de/10005207929
Using data from financial reorganization plans filed by insolvent Canadian firms, we estimate the discount rate implicit in theunsecured creditors' reorganization decision. Using (HARA) utility functions, we find the implicit monthly discount rate of creditors to be 4.9%, which corresponds to an...
Persistent link: https://www.econbiz.de/10010552082
liability rules and bankruptcy laws decreases as exogenous sources of uncertainty become relatively more important, and … increases with the opportunity for moral hazard (related to diligence, risk taking, or deception). Second, bankruptcy laws …
Persistent link: https://www.econbiz.de/10005784849
specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we … the Creditreform database. The results reveal that the most important eight predictors related to bankruptcy for these …
Persistent link: https://www.econbiz.de/10005677958
defaults and bankruptcy. Building on a simple model for the joint determination of the repayments of interbank claims, this …
Persistent link: https://www.econbiz.de/10010739081
the distribution probability of the shock, evaluate a bankruptcy risk and, at the second stage, firms are engaged in a … increases the bankruptcy probability of the merging firms while a similar merger concerning unleveraged firms or between the two … categories of firms leads to a decrease in the bankruptcy probability of leveraged firms. Moreover, the minimum number of firms …
Persistent link: https://www.econbiz.de/10010821178
In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...
Persistent link: https://www.econbiz.de/10008568137
The evolutions of the bankruptcy law seek to reach many aims: economic safety, firms' creation and expansion in a … ability to protect creditors' interest of the bankruptcy law. We show that far from being only one means of selection thanks … to which the market could be cleared of its failing agents, the bankruptcy law opens a non commercial space of resolution …
Persistent link: https://www.econbiz.de/10008789513
This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...
Persistent link: https://www.econbiz.de/10009021755
We analyze the effect of the degree of judicial enforcement on the probability of credit constraints, the amount of loan and the probability of default. Contrary to the traditional view on judicial efficiency of credit market, our estimation results show that better judicial enforcement...
Persistent link: https://www.econbiz.de/10008792424