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July 24, 2026
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Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
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Improving the Credit Risk Assessment Model using Forecasting and Monte Carlo Methods

P. 1–5.
Sizykh D., Kovalev R., Sizykh N.

To improve the assessment model of credit risk by Merton for Russian financial market using the Monte Carlo simulation method and the SARIMA model for data forecasting. Nowadays, there are many methods of the assessment use in European countries. However, the applications of these methods may lead to inaccurate forecasts. In this work, modern methods of credit risk assessment by Merton and Vasicek were adapted and improved. These methods are proposed to be used in the implementation of the Monte Carlo simulation model, which has a high adaptive capacity, which allows it to be effectively used in Russian conditions. The proposed model for assessing credit risks was tested on actual data from companies in two industries. The results showed its effectiveness and the possibility of application in the Russian credit market.

Language: English
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Keywords: кредитный рискМетод Монте Карло credit riskMonte Carlo algorithmcredit risk forecastingпрогнозирование кредитных рисков

In book

2024 17th International Conference on Management of Large-Scale System Development (MLSD)
2024 17th International Conference on Management of Large-Scale System Development (MLSD)
IEEE, 2024.
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