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Скоринг в розничном кредитовании: распространенные ошибки и их стоимость
Финансы и бизнес. 2021. Т. 17. № 4. С. 3–17.
Маракуева М. А.
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 of the described mistakes. We propose some solutions to avoid common mistakes and losses of the bank when using scoring models. The article can be useful for employees of credit institutions, both those involved in building models, and middle and senior managers.
Keywords: кредитный рисккредитный скорингскоринговая модельвнутренний кредитный рейтингбанковские кредитные решениякредитная политика банкаcredit risk assessment modelcredit risk modelsBank credit decisionsмодельный рискscore calibration credit riskmodel riskAccuracy scoreскоринговая оценкастоимость ошибки скорингамодель оценки кредитного риска
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Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
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Tikhonova N. E., Karavay A., Социологическая наука и социальная практика 2026 Т. 14 № 3 С. 12–36
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Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109
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Пилюк Е. Р., Rozmainsky I. V., Журнал институциональных исследований 2026 Т. 18 № 3 С. 77–96
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Klaro Ramires P. M., Veselova A., AlterEconomics (ранее - Журнал экономической теории) 2026 Т. 23 № 3 С. 699–718
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Potanin B., Dolgikh S., Statistics and Probability Letters 2027 Article 110984
We derive bounds on the gradient and Hessian of the log-CDF, ln F(x), of the multivariate normal distribution. These bounds scale linearly and quadratically in ‖x‖ , respectively, with constants depending only on the covariance matrix. We demonstrate the usefulness of these bounds by proving asymptotic normality of the maximum-likelihood estimator of the multivariate probit ...
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Nikulina Y., Jamali Jaghdani T., Götz L. et al., / Series "Working Papers". 2026.
The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
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Kapeliushnikov R., / Высшая школа экономики. Серия WP3 "Проблемы рынка труда". 2026. № WP3/2026/02.
The paper is the first attempt in the Russian literature to assess returns to platform employment in the Russian labor market. The theory offers no clear predictions regarding its impact on workers’ earnings: there might be both a premium and a penalty. We distinguish three groups of workers: employees; self-employed using internet-platforms; self-employed not using ...
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Мухаметшин Р. И., Скрыпник Д. В., Экономическая политика 2026 Т. 21 № 4 С. 94–109
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В сборник, подготовленный при финансовой поддержке Высшей школы современных социальных наук МГУ им М.В.Ломоносова, вошли статьи участников 2-й Международной научно-практической конференции «Современные проблемы управления: исследования, диагностика, решения», организованной высшей школой современных социальных наук МГУ им. М.В. Ломоносова 9-10 октября 2025 г. в Москве. Авторы статей, вошедших в сборник, являются как опытными исследователями в области менеджмента ...
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Volpe V., Palladino R., Storlazzi A., British Food Journal 2026 P. 1–27
Purpose
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Semenova M., Loginova Y., Balsevich A. A., Pacific-Basin Finance Journal 2026 Vol. 97 Article 103118
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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 ...
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