• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Improving the Credit Risk Assessment Model using Forecasting and Monte Carlo Methods
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2028
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

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
Full text
DOI
Text on another site
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.
Similar publications
Evaluating Machine Learning Approaches for Forecasting Creditworthiness of Industrial Companies in Low-Default Portfolios
Vlada Shenevskaia, Sergey Grishunin, Alyona Astakhova, , in: Proceedings of the 44th Eurasia Business and Economics Society Conference, Istanbul 2023. Eurasian Business and Economics Perspectives. (EBES, volume 31).: Switzerland: Springer, 2024. P. 209–229.
The study focuses on estimating the creditworthiness of industrial enterprises in the Eurozone and North America, using a sample of 122 companies from 2008 to 2022. The data framework consists of annual financial, macroeconomic, and ESG risk factors. The paper’s principal contribution lies in a comparative examination of advanced modelling approaches for assessing the credit ...
Added: June 28, 2026
Board gender diversity and bank performance during COVID-19: Did women save the day?
Semenova M., Loginova Y., Balsevich A. A., Pacific-Basin Finance Journal 2026 Vol. 97 Article 103118
This paper examines the effect of board gender diversity on bank performance during the COVID-19 crisis. Using a panel dataset of 173 European banks spanning the period 2010–2022, we find that the presence of female directors on bank boards is positively associated with profitability and solvency during the pandemic period. The positive impact is more ...
Added: February 22, 2026
Экономическая противоположность краткосрочного и долгосрочного инвестирования на фондовом рынке
Галанов В. А., Galanova A., Наука и практика. Научно-аналитический журнал РЭУ им. Г.В. Плеханова 2025 Т. 17 № 1(57) С. 27–34
The differences between short-term and long-term types of investment in the stock market have a deep economic basis in relation to which the time period acts only as a generalizing feature that allows reflecting the holistic and complex range of economic differences between them, primarily in terms of their profitability and risks. The duration of ...
Added: May 28, 2025
Anomalous diffusion in polydisperse granular gases
Anna S. Bodrova, Osinsky A., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2025 Vol. 111 No. 3 Article 035402
We investigate both ensemble and time-averaged mean-squared displacements of particles in a polydisperse granular system in a homogeneous cooling state and derive rigorous analytical expressions valid both at short and long time scales. The discrepancies in ensemble and time-averaged mean-squared displacements indicate ergodicity breaking in granular systems consisting of an arbitrary number of species of ...
Added: March 5, 2025
The Uniform Relationship between Managerial Ability and Bank Loan Quality: Does it hold? Evidence from Quantile Regressions
Zaiane S., Semenova M., / NRU Higher School of Economics. Series FE "Financial Economics". 2025. No. 96FE2025.
This study examines the relationship between managerial ability (MA) and bank loan quality, employing a quantile regression model. It analyzes whether the impact of MA on loan quality changes across various quantiles of risk. Using a sample of 126 MENA banks (2006–2020), the results reveal that the impact of MA on bank loan quality varies ...
Added: February 18, 2025
Влияние изменений кредитных рейтингов на динамику цен акций
Galanova A., Овсяник В. А., Наука и практика. Научно-аналитический журнал РЭУ им. Г.В. Плеханова 2024 Т. 16 № 3(55) С. 37–50
Credit ratings represent an assessment of the totality of borrowers' risks, and due to the very method of compilation, they contain a large amount of information about companies which is taken into account by market participants. The impact of news release about a change in a company's credit rating on the dynamics of its stock prices can be analyzed ...
Added: December 21, 2024
Default Prediction for Auto Repair Services Firms in Russia Using Non-financial Data
Afanasev V., Финансы и бизнес 2024 Vol. 20 No. 3 P. 71–88
The conventional approach to default prediction implies using financial ratios as predictors. This paper provides evidence for improvement in the quality of default prediction for auto repair firms if non-financial data is included in the models. The study uses a sample of more than 200 firms, which defaulted in 2018–2023 and 10 healthy peers samples ...
Added: October 2, 2024
Monte Carlo simulation of O2- ion transport and rate properties in noble gases with O2 addition
A. A. Ponomarev, N. L. Aleksandrov, Physics of Plasmas 2024 Vol. 31 No. 4 Article 043517
The kinetics of O2- ions was numerically studied in He and Ar with a small admixture of O2 in a strong electric field through a Monte Carlo simulation. Cross-sections for elastic scattering between O2- ions and He and Ar atoms were determined by adjusting cross-section values to obtain good agreement between calculated and measured ion ...
Added: August 26, 2024
Определение минимального размера выборки для задачи экстраполяции резервов при наличии корреляции дефолтов
Penikas H. I., / Банк России. Серия доклады Банка России "Серия докладов об экономических исследованиях". 2024.
In 2016, the Bank of Russia developed two ordinances to set forth a procedure using a limited sample of loans to conclude whether the level of loss provisions in the portfolio of uniform loans is sufficient or not and whether the bank’s capital is adequate. The existing procedure of reserve sufficiency evaluation previews as a rule considering only a part of the loan portfolio and transfer (extrapolation) of the provision thus assessed for the overall portfolio. Moreover, the acting approach to define the minimum loan sample size assumes the absence of the default correlation. Author’s contribution ...
Added: June 1, 2024
Board Gender Diversity And Bank Performance During Covid-19: Did Women Save The Day?
Yuliana Loginova, Semenova M., / Series WP BRP "Financial Economics". 2024. No. 94/FE/2024.
This paper explores the impact of board gender diversity on bank performance during the COVID-19 crisis. Using data from 87 European banks from 2015 to 2021, we show that the presence of women on bank boards had a positive impact on bank profitability during the COVID-19 crisis. This effect is more pronounced in countries where the morbidity rate ...
Added: February 14, 2024
Demographic characteristics as determinants of retail customers’ credit behavior. Evidence from Russian regions
Arkhipova N., Karminsky A. M., Procedia Computer Science 2023 Vol. 221 P. 1091–1098
This paper investigates and defines the concept of "credit behavior". A number of factors influencing credit behaviour of the population were identified. Among them are economic factors, e.g. income and expenses, debt burden, unemployment, interest rates, etc. Another important group of factors impacting credit behavior is social aspects, i.e. level of education, social status, financial and digital ...
Added: November 17, 2023
Факторы ценообразования розничных кредитов в России
Penikas H. I., Вопросы экономики 2023 Т. 6 С. 36–61
Впервые рассмотрен уникальный массив данных о предложении ставок по кредитам с февраля по август 2022 г. Обосновано, что такие предложения, содержащие информацию о ставке и дополнительных условиях (срок, сумма и т. д.), чаще дают более крупные банки. Проанализированы слагаемые как кредитного риска ссуды, так и риск-аппетита банка. Показано, что банки, оценивающие кредитный риск для нормативов ...
Added: June 9, 2023
Default Prediction Model for Emerging Capital Market Service Companies
Afanasev V., Journal of Corporate Finance Research 2023 Vol. 17 No. 1 P. 64–77
The author tested the hypothesis that default prediction based on financial data may be inapplicable to Russian service sector organizations by analyzing the differences in the accuracy of models based solely on financial data for service providers from Russia and developed European countries. Logistic regression, Random Forest and K-nearest neighbors machine learning methods were used as modeling ...
Added: May 21, 2023
Скоринг в розничном кредитовании: распространенные ошибки и их стоимость
Маракуева М. А., Финансы и бизнес 2021 Т. 17 № 4 С. 3–17
The article discusses the most common mistakes in banking practice when constructing scoring models for assessing the credit risk of individuals. For a detail description, we have selected the most significant ones from the point of view of generating retail profit. With the example of logistic regression we show how much the price of each ...
Added: April 8, 2023
Как увеличить годовую норму прибыльности розничного портфеля, оптимизируя уровень отказа и повышая силу дискриминации?
Pomazanov M. V., Риск-менеджмент в кредитной организации 2022 Т. 48 № 4 С. 31–39
Описанный подход к валидации риск-менеджмента розничного портфеля применялся в крупнейших банках и дал безупречно обос­нованный результат, ускоривший коррекцию риск-политик в существенных сегментах розничных продуктов вплоть до закрытия одних и расширения планов размещения других. На основе оценки экономической выгоды от усиления риск-менеджмента с учетом текущих и плановых объемов могут быть обоснованно увеличены бюджеты на расширение аналитического ...
Added: December 20, 2022
Исследование влияния пандемии на стабильность банковского сектора Российской Федерации
Khasyanova S. Y., Вопросы статистики 2022 Т. 29 № 5 С. 96–109
The purpose of this study is to investigate how the Covid-19 pandemic affected the stability of Russian banks .To achieve this goal, an economic and statistical analysis of the risk and liquidity indicators of the Russian banking sector for the period 2008-2020 was performed. The analysis was based on the methodology for assessing the financial ...
Added: November 24, 2022
Финансирование участия в кредите: новый инструмент российского вторичного рынка синдицированного кредитования. Актуальные вопросы (часть 2)
Цехомский Н. В., Наумцева Е. И., Кудлай В. А. et al., Банковское дело 2022 № 9 С. 30–38
Статья посвящена анализу развития рынка синдицированного кредитования в Российской Федерации и исследованию практических аспектов применения нового инструмента российского вторичного рынка синдицированного кредитования – финансирования участия в кредите (займе). Установление правовых основ в отношении такого нового механизма и расширение палитры инструментов вторичного рынка, доступных участникам российских сделок синдицированного кредитования, создало потенциал для дальнейшего развития отечественного рынка синдицированного ...
Added: November 14, 2022
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit