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Modification of aggregated randomized indices method for credit scoring
P. 254–259.
Romanyuk K.
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.
A. A. Ponomarev, N. L. Aleksandrov, Plasma Physics Reports 2026 Vol. 52 No. 3 P. 367–378
An approximate method for calculating drift velocity and other kinetic coefficients of heavy ions
in a light gas is generalized to gaseous mixtures. Obtained equations are used to calculate the mobilities of
and ions, as well as rate constants for inelastic ion–molecule processes with these ions in helium with
small additions of O2 under an electric field. Calculated ...
Added: April 27, 2026
Tsvetkova O., Ouarda T., Journal of Renewable and Sustainable Energy 2019 Vol. 11 No. 5 P. 053303–053303
The present paper bridges mathematical modeling and wind resource assessment (WRA). Sensitivity analysis (SA) links portions of output variance to the variance in each input variable. Global SA (GSA) explores inputs globally. One-at-a-time SA is dominating in WRA, while GSA is often overlooked. Compared to traditional methods, GSA offers potential improvement by the means of ...
Added: September 15, 2025
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
Aleksandrov N., Ponomarev A., Plasma Physics Reports 2024 Vol. 50 No. 12 P. 1577–1584
Using an approximate approach that is valid for a large ratio of the ion mass to the mass of the neutral
particle, the mobility of O2+, N2+, O2-, and O4- ions was calculated in helium and good agreement was
obtained with the available results of Monte Carlo calculations and experimental data at high values of the
reduced electric ...
Added: March 25, 2025
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
Sizykh D., Kovalev R., Sizykh N., , in: 2024 17th International Conference on Management of Large-Scale System Development (MLSD).: IEEE, 2024. P. 1–5.
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 ...
Added: January 15, 2025
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
Yuri A. Zelenkov, Elizaveta V. Lashkevich, Business Informatics 2024 Vol. 18 No. 3 P. 24–40
A counterfactual explanation is the generation for a particular sample of a set of instances that belong
to the opposite class but are as close as possible in the feature space to the factual being explained.
Existing algorithms that solve this problem are usually based on complicated models that require a large
amount of training data and significant ...
Added: October 13, 2024
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
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
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
Аузан А. А., Kurdin A., Проблемы прогнозирования 2022 № 5 С. 91–99
Авторы статьи исследуют институциональные факторы развития научных школ. Основываясь на примере экономического факультета МГУ, показывают многообразие их исторических траекторий. В статье идентифицированы основные институциональные проблемы, влияющие на эволюцию таких школ, в том числе проблемы ухудшающего отбора университетов, высокой специфичности инвестиций в научную квалификацию, персонализации в контексте порядков ограниченного доступа. Авторы предлагают рекомендации по переходу от ...
Added: June 30, 2023
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
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
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
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
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
Ivanova N. S., Penikas H. I., Popova S. et al., Деньги и кредит 2022 Т. 81 № 3 С. 89–106
In early July 2022, the Bank of Russia and the New Economic School held a joint workshop titled ‘Transition to a Low-Carbon Economy: Costs and Risks for the Financial Sector’. The presentations delivered at the workshop enable a number of general conclusions to be drawn. First, as follows from the results of the calculations in ...
Added: October 13, 2022
Iakimenko I., Semenova M., Zimin E., Journal of International Financial Markets, Institutions and Money 2022 Vol. 80 Article 101651
Estimating correctly the borrower credit risks is the task of particular –and growing- importance for the banks all around the globe. Formal information sharing mechanisms are aimed to reduce information asymmetry in the credit markets and to enhance the precision of those estimates. In the academic literature, however, the answer to the question of whether ...
Added: September 15, 2022
Anton Markov, Zinaida Seleznyova, Victor Lapshin, Journal of Finance and Data Science 2022 Vol. 8 P. 180–201
Credit risk is the most significant risk by impact for any bank and financial institution.
Accurate credit risk assessment affects an organisation’s balance sheet and income
statement, since credit risk strategy determines pricing, and might even influence
seemingly unrelated domains, e.g. marketing, and decision-making. This article aims at
providing a systemic review of the most recent (2016–2021) articles, identifying ...
Added: July 28, 2022