Modification of aggregated randomized indices method for credit scoring
In the given paper the aggregated randomized indices method is modified for credit scoring. Coefficients of the modified method can be calibrated on a massive training set in comparison with a standard version. Different credit scoring models are analyzed, i.e. with a binary scale and a continuous one. The Monte Carlo method is applied to measure the efficiency of models.
Most of existing scoring systems are based on binary choice models with sample selection. This setting does not allow for up-to-date information about loans to be used and a lot of observations becomes lost. In the paper a model of binary choice with sample selection is extended to the case of many periods. This extension allows for defaults to be modeled for each period that solves the problem of lost observations. This setting also can be used to estimate the effectiveness of existing scoring system of a bank. The model is estimated using data granted by one of commercial banks of Nizhny Novgorod. Sample consists of observations from January 2009 to March 2012.
The paper presents a review of stochastic framework for term structure modeling and shows comparative advantages of commonly used techniques. The main application of the research is coherent modeling of credit and interest rate risk for Euro zone issuers.
The game-theoretic model developed in this article formulates the conditions required for the incorporation the corporate social responsibility (CSR) policy into the business as a mechanism of signaling. The model is based on the following principles: the Cournot model, the segmentation of consumers by their health deterioration risk attitude, the choice about CSR strategy by producers of low and high quality of food products. Results of the model show that the nonoccurrence of CSR in Russia is subject to the small share of health-conscious consumers and the lack of support and regulation of the state.
In textbook the main issues connected with organization of credit analysis in a commercial bank were considered. The role of credit analysis in risk management system is shown. The methodology and specific methods for assessing the creditworthiness of borrowers used by banks are set out by complex approach. The textbook includes international recommendations for introduction of internal credit risk assessment systems in banks. With the aim at presenting the material examples from the practice of commercial banks, analytical tables, diagrams and figures were used.