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Alexandr M. Karminsky

Personal Details

First Name:Alexandr
Middle Name:M.
Last Name:Karminsky
Suffix:
RePEc Short-ID:pka794
[This author has chosen not to make the email address public]
http://www.hse.ru/org/persons/3545842

Affiliation

Faculty of Economics
National Research University Higher School of Economics (HSE)

Moscow, Russia
http://economics.hse.ru/
RePEc:edi:fehseru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "Bank ownership and profit efficiency of Russian banks," BOFIT Discussion Papers 5/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
  2. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
  3. Agata M. Lozinskaia & Evgeniy M. Ozhegov & Alexander M. Karminsky, 2016. "Discontinuity in Relative Credit Losses: Evidence from Defaults on Government-Insured Residential Mortgages," HSE Working papers WP BRP 55/FE/2016, National Research University Higher School of Economics.
  4. Alexander Karminsky & Alexander Kostrov & Taras Murzenkov, 2012. "Comparison of default probability models: Russian experience," HSE Working papers WP BRP 06/FE/2012, National Research University Higher School of Economics.
  5. Richard Hainsworth & Alexander Karminsky & Vasily Solodkov, 2012. "Arm's Length Method for Comparing Rating Scales," HSE Working papers WP BRP 01/FE/2012, National Research University Higher School of Economics.
  6. Peresetsky, A. A. & Karminsky, A. M., 2011. "Models for Moody’s bank ratings," MPRA Paper 34864, University Library of Munich, Germany.
  7. Golovan, Sergei & Karminsky, Alexandr & Peresetsky, Anatoly, 2008. "Эффективность Российских Банков С Точки Зрения Минимизации Издержек, С Учетом Факторов Риска [Cost efficiency of Russian banks. Models with risk factors]," MPRA Paper 56357, University Library of Munich, Germany.
  8. Peresetsky, A.A. & Karminsky, A.M. & Golovan, S.V., 2007. "Russian banks' private deposit interest rates and market discipline," BOFIT Discussion Papers 2/2007, Bank of Finland Institute for Emerging Economies (BOFIT).
  9. Peresetsky, А. А. & Karminsky, A. M. & van Soest, A. H. O., 2004. "Моделирование Рейтингов Российских Банков [Modeling Russian Banks Ratings]," MPRA Paper 34630, University Library of Munich, Germany.
  10. van Soest, A.H.O. & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Discussion Paper 2003-85, Tilburg University, Center for Economic Research.

    repec:bof:bofitp:2008_017 is not listed on IDEAS
    repec:bof:bofitp:2004_021 is not listed on IDEAS

Articles

  1. Mikhail Stolbov & Alexander Karminsky & Maria Shchepeleva, 2018. "Does Economic Policy Uncertainty Lead Systemic Risk? A Comparative Analysis of Selected European Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 332-360, September.
  2. Alexander M. Karminsky & Ella Khromova, 2018. "Increase of banks’ credit risks forecasting power by the usage of the set of alternative models," Russian Journal of Economics, ARPHA Platform, vol. 4(2), pages 155-174, June.
  3. Karminsky, A. & Rybalka, A., 2018. "Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 76-103.
  4. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.
  5. Alexander Karminsky & Alexander Kostrov, 2017. "The back side of banking in Russia: forecasting bank failures with negative capital," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 170-209.
  6. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
  7. Alexander Karminsky & Alexander Kostrov, 2015. "Erratum to: The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 369-370, December.
  8. Karminsky, A. & Morgunov, A. & Bogdanov, P., 2015. "The Assessment of Default Probability for the Project Finance Transactions," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 99-122.
  9. Alexander M. Karminsky & Oleg S. Kozlov, 2015. "Stress Testing of Retail and Corporate Segments of Russian Credit Market," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 1(10), pages 7-19, September.
  10. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.
  11. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
  12. Karminsky, A. & Kostrov, A., 2013. "Modeling the Default Probabilities of Russian Banks: Extended Abillities," Journal of the New Economic Association, New Economic Association, vol. 17(1), pages 64-86.
  13. Karminsky, A., 2013. "Developing a Toolkit for the Mega-Regulator," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 146-149.
  14. Karminsky, A. & Sosyurko, V., 2011. "Comparison of Bank Credit Ratings for Various Agencies," Journal of the New Economic Association, New Economic Association, issue 12, pages 102-123.
  15. Anatoly Peresetsky & Alexandr Karminsky & Sergei Golovan, 2011. "Probability of default models of Russian banks," Economic Change and Restructuring, Springer, vol. 44(4), pages 297-334, November.
  16. Aivazian, Sergey & Golovan, Sergey & Karminsky, Alexander & Peresetsky, Anatoly, 2011. "An approach to ratings mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 13-40.
  17. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
  18. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.
  19. Karminsky, Alexandr & Peresetsky, Anatoly, 2007. "Models of Banks Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 5(1), pages 3-19.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Agata M. Lozinskaia & Evgeniy M. Ozhegov & Alexander M. Karminsky, 2016. "Discontinuity in Relative Credit Losses: Evidence from Defaults on Government-Insured Residential Mortgages," HSE Working papers WP BRP 55/FE/2016, National Research University Higher School of Economics.

    Cited by:

    1. Magdalena Brygała, 2022. "Consumer Bankruptcy Prediction Using Balanced and Imbalanced Data," Risks, MDPI, vol. 10(2), pages 1-13, January.

  2. Alexander Karminsky & Alexander Kostrov & Taras Murzenkov, 2012. "Comparison of default probability models: Russian experience," HSE Working papers WP BRP 06/FE/2012, National Research University Higher School of Economics.

    Cited by:

    1. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    2. Mikhail Mamonov, 2013. "Bad management, skimping, or both? The relationship between cost efficiency and loan quality in Russian banks," HSE Working papers WP BRP 19/FE/2013, National Research University Higher School of Economics.
    3. Mamonov, Mikhail, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.

  3. Richard Hainsworth & Alexander Karminsky & Vasily Solodkov, 2012. "Arm's Length Method for Comparing Rating Scales," HSE Working papers WP BRP 01/FE/2012, National Research University Higher School of Economics.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Themistokles Lazarides & Evaggelos Drimpetas, 2016. "Defining the factors of Fitch rankings in the European banking sector," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 315-339, August.
    3. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
    4. Mohammed Kalloub & Ayhan Kapusuzoglu & Nildag Basak Ceylan, 2018. "The Impact Of Basel Iii Adoption By G20 Members On Their Credit Ratings," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 6(1), pages 47-55.
    5. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.
    6. Marat Z. Kurbangaleev & Victor A. Lapshin & Zinaida V. Seleznyova, 2018. "Studying The Replicability Of Aggregate External Credit Assessments Using Public Information," HSE Working papers WP BRP 71/FE/2018, National Research University Higher School of Economics.

  4. Peresetsky, A. A. & Karminsky, A. M., 2011. "Models for Moody’s bank ratings," MPRA Paper 34864, University Library of Munich, Germany.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    3. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
    4. Fidrmuc, Jarko & Süß, Philipp Johann, 2009. "The Outbreak of the Russian Banking Crisis," Discussion Papers in Economics 10996, University of Munich, Department of Economics.
    5. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    6. Petr Gurný & Martin Gurný, 2013. "Comparison of Credit Scoring Models on Probability of Default Estimation for Us Banks," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(2), pages 163-181.
    7. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.
    8. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    9. Karminsky, A. & Sosyurko, V., 2011. "Comparison of Bank Credit Ratings for Various Agencies," Journal of the New Economic Association, New Economic Association, issue 12, pages 102-123.

  5. Golovan, Sergei & Karminsky, Alexandr & Peresetsky, Anatoly, 2008. "Эффективность Российских Банков С Точки Зрения Минимизации Издержек, С Учетом Факторов Риска [Cost efficiency of Russian banks. Models with risk factors]," MPRA Paper 56357, University Library of Munich, Germany.

    Cited by:

    1. Mamonov, Mikhail & Vernikov, Andrei, 2017. "Bank ownership and cost efficiency: New empirical evidence from Russia," Economic Systems, Elsevier, vol. 41(2), pages 305-319.
    2. Subal Kumbhakar & Anatoly Peresetsky, 2013. "Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 88-113, March.
    3. Mikhail Mamonov, 2013. "Bad management, skimping, or both? The relationship between cost efficiency and loan quality in Russian banks," HSE Working papers WP BRP 19/FE/2013, National Research University Higher School of Economics.
    4. Mamonov, Mikhail & Vernikov, Andrei, 2015. "Bank ownership and cost efficiency in Russia, revisited," BOFIT Discussion Papers 22/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Белоусова В. Ю., 2009. "Эффективность Издержек Однородных Российских Коммерческих Банков: Обзор Проблемы И Новые Результаты," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 13(4), pages 489-519.
    6. Le, Phuong Thanh & Harvie, Charles & Arjomandi, Amir & Borthwick, James, 2019. "Financial liberalisation, bank ownership type and performance in a transition economy: The case of Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    7. Ибрагимова Найля Мурадовна, 2015. "Эмпирическая Оценка Эффективности Ндфл И Ндс В Узбекистане," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 19(1), pages 81-103.
    8. ELIZABETH Selyavina & Е. Селявина А., 2015. "Модель Оценки Эффективности Деятельности Банков Развития На Макроуровне // The Model To Evaluate Development Banks Performance At The Macro Level," Экономика. Налоги. Право // Economics, taxes & law, ФГОБУ "Финансовый университет при Правительстве Российской Федерации" // Financial University under The Government of Russian Federation, issue 2, pages 135-145.
    9. Vernikov, Andrei & Mamonov, Mikhail, 2018. "Modelling technical efficiency of firms under one-step and two-step approaches (the case of commercial banks)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 67-90.
    10. Fungachova, Z. & Solanko, L., 2010. "Has Banks’ Financial Intermediation Improved in Russia?," Journal of the New Economic Association, New Economic Association, issue 8, pages 101-116.

  6. Peresetsky, A.A. & Karminsky, A.M. & Golovan, S.V., 2007. "Russian banks' private deposit interest rates and market discipline," BOFIT Discussion Papers 2/2007, Bank of Finland Institute for Emerging Economies (BOFIT).

    Cited by:

    1. Fungáčová Z. & Solanko L., 2009. "Risk-taking by Russian banks: do location, ownership and size matter?," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 13(1), pages 101-129.
    2. Berger, Allen N. & Hasan, Iftekhar & Korhonen, Iikka & Zhou, Mingming, 2010. "Does diversification increase or decrease bank risk and performance? Evidence on diversification and the risk-return tradeoff in banking," BOFIT Discussion Papers 9/2010, Bank of Finland Institute for Emerging Economies (BOFIT).

  7. Peresetsky, А. А. & Karminsky, A. M. & van Soest, A. H. O., 2004. "Моделирование Рейтингов Российских Банков [Modeling Russian Banks Ratings]," MPRA Paper 34630, University Library of Munich, Germany.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    3. Ekimov Alexander V., 2017. "The Profitability and Risk Effects of Russian Banking Institutions’ Involvement in Bancassurance: Merger Simulation Methodology," Ekonomika (Economics), Sciendo, vol. 96(3), pages 56-72, January.
    4. Федорова Е.А. & Гиленко Е.В., 2013. "Применение Моделей Бинарного Выбора Для Прогнозирования Банкротства Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 49(1), pages 106-118, январь.
    5. Salnikov, V. & Mogilat, A. & Maslov, I., 2012. "Stress Testing for Russian Real Sector: First Approach," Journal of the New Economic Association, New Economic Association, vol. 16(4), pages 46-70.

  8. van Soest, A.H.O. & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Discussion Paper 2003-85, Tilburg University, Center for Economic Research.

    Cited by:

    1. Peresetsky, A.A. & Karminsky, A.M. & Golovan, S.V., 2007. "Russian banks' private deposit interest rates and market discipline," BOFIT Discussion Papers 2/2007, Bank of Finland Institute for Emerging Economies (BOFIT).
    2. Aivazian, Sergey & Golovan, Sergey & Karminsky, Alexander & Peresetsky, Anatoly, 2011. "An approach to ratings mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 13-40.
    3. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    4. Karas, Alexei & Pyle, William & Schoors, Koen, 2010. "The effect of deposit insurance on market discipline: Evidence from a natural experiment on deposit flows," BOFIT Discussion Papers 8/2010, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    6. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    7. Peresetsky, Anatoly & Karminsky, Alexandr & Golovan, Sergei, 2004. "Probability of default models of Russian banks," BOFIT Discussion Papers 21/2004, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Alexei Karas & William Pyle & Koen Schoors, 2010. "How do Russian depositors discipline their banks? Evidence of a backward bending deposit supply function," Oxford Economic Papers, Oxford University Press, vol. 62(1), pages 36-61, January.
    9. Ошерович Инна Львовна, 2015. "Анализ вероятностных соответствий меж ду рейтингами ведущих меж дународных компаний Moody’s, Fitch и standard&poor’s," Вестник Финансового университета, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3 (87), pages 136-148.
    10. Claeys, Sophie, 2005. "Optimal regulatory design for the Central Bank of Russia," BOFIT Discussion Papers 7/2005, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.
    12. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.

Articles

  1. Mikhail Stolbov & Alexander Karminsky & Maria Shchepeleva, 2018. "Does Economic Policy Uncertainty Lead Systemic Risk? A Comparative Analysis of Selected European Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 332-360, September.

    Cited by:

    1. Yang, Xite & Zhang, Qin & Liu, Haiyue & Liu, Zihan & Tao, Qiufan & Lai, Yongzeng & Huang, Linya, 2024. "Economic policy uncertainty, macroeconomic shocks, and systemic risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    2. Kondoz, Mehmet & Kirikkaleli, Dervis & Athari, Seyed Alireza, 2021. "Time-frequency dependencies of financial and economic risks in South American countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 170-181.
    3. Bales, Stephan, 2022. "Policy uncertainty and the sovereign-bank nexus: A time-frequency analysis using wavelet transformation," Finance Research Letters, Elsevier, vol. 44(C).
    4. Bales, Stephan & Burghof, Hans-Peter, 2024. "Public attention, sentiment and the default of Silicon Valley Bank," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    5. Nivorozhkin, Eugene & Chondrogiannis, Ilias, 2022. "Shifting balances of systemic risk in the Chinese banking sector: Determinants and trends," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    6. Stolbov, Mikhail & Shchepeleva, Maria, 2020. "Systemic risk, economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference," Research in International Business and Finance, Elsevier, vol. 52(C).
    7. Mikhail Stolbov & Maria Shchepeleva, 2021. "Macrofinancial linkages in Europe: Evidence from quantile local projections," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5557-5569, October.
    8. Wang, Gang-Jin & Chen, Yan & Zhu, You & Xie, Chi, 2024. "Systemic risk prediction using machine learning: Does network connectedness help prediction?," International Review of Financial Analysis, Elsevier, vol. 93(C).

  2. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.

    Cited by:

    1. Nikolay Pilnik & Stanislav Radionov & Artem Yazykov, 2018. "The Optimal Behavior Model of the Modern Russian Banking System," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(3), pages 418-447.

  3. Alexander Karminsky & Alexander Kostrov, 2017. "The back side of banking in Russia: forecasting bank failures with negative capital," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 170-209.

    Cited by:

    1. Karminsky, A. & Rybalka, A., 2018. "Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 76-103.
    2. D. Bidzhoyan S. & Д. Биджоян С., 2018. "Модель Оценки Вероятности Отзыва Лицензии У Российского Банка // Model For Assessing The Probability Of Revocation Of A License From The Russian Bank," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(2), pages 26-37.
    3. Kostrov, Alexander & Mamonov, Mikhail, 2019. "The formation of hidden negative capital in banking: A product mismatch hypothesis," BOFIT Discussion Papers 6/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Alexander M. Karminsky & Ella Khromova, 2018. "Increase of banks’ credit risks forecasting power by the usage of the set of alternative models," Russian Journal of Economics, ARPHA Platform, vol. 4(2), pages 155-174, June.
    5. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.

  4. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.

    Cited by:

    1. Guneren Genc, Elif & Deniz Basar, Ozlem, 2019. "Comparison of Country Ratings of Credit Rating Agencies with MOORA Method," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(2), pages 391-404, April.

  5. Karminsky, A. & Morgunov, A. & Bogdanov, P., 2015. "The Assessment of Default Probability for the Project Finance Transactions," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 99-122.

    Cited by:

    1. Alexander M. Karminsky & Ella Khromova, 2018. "Increase of banks’ credit risks forecasting power by the usage of the set of alternative models," Russian Journal of Economics, ARPHA Platform, vol. 4(2), pages 155-174, June.

  6. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.

    Cited by:

    1. Olga Miroshnichenko & Elena Iakovleva & Natalia Voronova, 2022. "Banking Sector Profitability: Does Household Income Matter?," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
    2. Chau H. A. Le, 2016. "Macro-financial linkages and bank behaviour: evidence from the second-round effects of the global financial crisis on East Asia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 365-387, December.
    3. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    4. Nikolay Pilnik & Stanislav Radionov & Artem Yazykov, 2018. "The Optimal Behavior Model of the Modern Russian Banking System," HSE Economic Journal, National Research University Higher School of Economics, vol. 22(3), pages 418-447.
    5. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
    6. N. P. Pilnik & I. G. Pospelov & S. A. Radionov, 2020. "On Limits of the Influence of the Bank of Russia Key Rate on Indicators of the Russian Banking System," Studies on Russian Economic Development, Springer, vol. 31(2), pages 229-237, March.
    7. Mikko Makinen & Laura Solanko, 2018. "Determinants of Bank Closures: Do Levels or Changes of CAMEL Variables Matter?," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 3-21, June.
    8. D. Bidzhoyan S. & Д. Биджоян С., 2018. "Модель Оценки Вероятности Отзыва Лицензии У Российского Банка // Model For Assessing The Probability Of Revocation Of A License From The Russian Bank," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 22(2), pages 26-37.
    9. Alexander M. Karminsky & Sergei Grishunin & Natalya Dyachkova & Maxim Bisenov, 2020. "The comparison of empirical methods for modeling credit ratings of industrial companies from BRICS countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 333-348, June.
    10. Maiya Anokhina & Henry Penikas & Victor Petrov, 2014. "Identifying SIFI Determinants for Global Banks and Insurance Companies: Implications for D-SIFIs in Russia," DEM Working Papers Series 085, University of Pavia, Department of Economics and Management.
    11. Gurova Yelena Pavlovna, 2014. "Stability of the regional banking systems in the crisis and post-crisis periods," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 237-245.
    12. Yelena Gurova, 2014. "Stability Of The Regional Banking Systems In The Crisis And Post-Crisis Periods," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 237-245.
    13. Mäkinen, Mikko & Solanko, Laura, 2017. "Determinants of bank closures: Do changes of CAMEL variables matter?," BOFIT Discussion Papers 16/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    14. Mabe, Queen Magadi & Lin, Wei, 2018. "Determinants of Corporate Failure: The Case of the Johannesburg Stock Exchange," MPRA Paper 88485, University Library of Munich, Germany.

  7. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    See citations under working paper version above.
  8. Karminsky, A. & Kostrov, A., 2013. "Modeling the Default Probabilities of Russian Banks: Extended Abillities," Journal of the New Economic Association, New Economic Association, vol. 17(1), pages 64-86.

    Cited by:

    1. Zubarev, Andrey (Зубарев, Андрей) & Bekirova, Olga (Бекирова, Ольга), 2020. "Analysis of Bank Default Factors in 2013–2019 [Анализ Факторов Банковских Дефолтов 2013–2019 Годов]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 106-133, June.
    2. Lev Fomin, 2019. "Do Higher Interest Rates on Loans and Deposits and Advertising Spending Cuts Forecast Bank Failures? Evidence from Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 94-112, June.
    3. Bakaykina, Anna, 2015. "The estimation of the competitiveness of SME financing programs of development banks in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 40(4), pages 106-128.
    4. Karminsky, A. & Morgunov, A. & Bogdanov, P., 2015. "The Assessment of Default Probability for the Project Finance Transactions," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 99-122.
    5. Bekirova, Olga & Zubarev, Andrey, 2023. "Determinants of risk, profitability and default probability of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 20-38.

  9. Karminsky, A. & Sosyurko, V., 2011. "Comparison of Bank Credit Ratings for Various Agencies," Journal of the New Economic Association, New Economic Association, issue 12, pages 102-123.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.

  10. Anatoly Peresetsky & Alexandr Karminsky & Sergei Golovan, 2011. "Probability of default models of Russian banks," Economic Change and Restructuring, Springer, vol. 44(4), pages 297-334, November.

    Cited by:

    1. Fabian Schupp & Leonid Silbermann, 2017. "The Role of Structural Funding for Stability in the German Banking Sector," MAGKS Papers on Economics 201717, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Zuzana Fungáčová & Laurent Weill, 2013. "Does competition influence bank failures?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(2), pages 301-322, April.
    3. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    4. Evžen Kočenda & Ichiro Iwasaki, 2022. "Bank survival around the world: A meta‐analytic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 108-156, February.
    5. Evzen Kocenda & Ichiro Iwasaki, 2020. "Bank Survival in Central and Eastern Europe," KIER Working Papers 1022, Kyoto University, Institute of Economic Research.
    6. A.O. Karas & Andrei Vernikov, 2016. "Russian Bank Database: Birth and Death, Location, Mergers, Deposit Insurance Participation, State and Foreign Ownership," Working Papers 16-04, Utrecht School of Economics.
    7. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    8. Salvador, Carlos & Fernández de Guevara, Juan & Pastor, José Manuel, 2018. "The adjustment of bank ratings in the financial crisis: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 289-313.
    9. Fidrmuc, Jarko & Süß, Philipp Johann, 2009. "The Outbreak of the Russian Banking Crisis," Discussion Papers in Economics 10996, University of Munich, Department of Economics.
    10. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    11. Salvador Marín Hernández & Ester Gras Gil & Marcos Antón Renart, 2011. "Financial information and restructuring of spanish savings banks in a context of crisis. Changes in the regulation; content and evolution of FROB," CIRIEC-España, revista de economía pública, social y cooperativa, CIRIEC-España, issue 73, pages 99-126, October.
    12. Mikko Makinen & Laura Solanko, 2018. "Determinants of Bank Closures: Do Levels or Changes of CAMEL Variables Matter?," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 3-21, June.
    13. Salvador, Carlos & Pastor, Jose Manuel & Fernández de Guevara, Juan, 2014. "Impact of the subprime crisis on bank ratings: The effect of the hardening of rating policies and worsening of solvency," Journal of Financial Stability, Elsevier, vol. 11(C), pages 13-31.
    14. Lev Fomin, 2019. "Do Higher Interest Rates on Loans and Deposits and Advertising Spending Cuts Forecast Bank Failures? Evidence from Russia," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 94-112, June.
    15. Karminsky, A. & Rybalka, A., 2018. "Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 76-103.
    16. Andrey Zubarev, 2013. "Russian Banking System: Stability Factors In the Wake of 2008-2009 Crisis," Working Papers 0049, Gaidar Institute for Economic Policy, revised 2013.
    17. Citterio, Alberto, 2024. "Bank failure prediction models: Review and outlook," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    18. Enrico Marelli & Elena S. Vakulenko, 2014. "Youth Unemployment In Italy And Russia: Aggregate Trends And The Role Of Individual Determinants," HSE Working papers WP BRP 74/EC/2014, National Research University Higher School of Economics.
    19. G. Lanine & R. Vander Vennet, 2005. "Failure prediction in the Russian bank sector with logit and trait recognition models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/329, Ghent University, Faculty of Economics and Business Administration.
    20. Alexander Karminsky & Alexander Kostrov, 2014. "The probability of default in Russian banking," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 81-98, June.
    21. Maiya Anokhina & Henry Penikas & Victor Petrov, 2014. "Identifying SIFI Determinants for Global Banks and Insurance Companies: Implications for D-SIFIs in Russia," DEM Working Papers Series 085, University of Pavia, Department of Economics and Management.
    22. Gurova Yelena Pavlovna, 2014. "Stability of the regional banking systems in the crisis and post-crisis periods," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 237-245.
    23. Yelena Gurova, 2014. "Stability Of The Regional Banking Systems In The Crisis And Post-Crisis Periods," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 237-245.
    24. Bakaykina, Anna, 2015. "The estimation of the competitiveness of SME financing programs of development banks in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 40(4), pages 106-128.
    25. Karminsky, A. & Morgunov, A. & Bogdanov, P., 2015. "The Assessment of Default Probability for the Project Finance Transactions," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 99-122.
    26. Konstandina Natalia, 2006. "Probability of Bank Failure: The Russian Case," EERC Working Paper Series 06-01e, EERC Research Network, Russia and CIS.
    27. Alexander Karminsky & Alexander Kostrov & Taras Murzenkov, 2012. "Comparison of default probability models: Russian experience," HSE Working papers WP BRP 06/FE/2012, National Research University Higher School of Economics.
    28. Пересецкий А.А., 2007. "Процентные Ставки Российских Банков. Рыночная Дисциплина И Страхование Депозитов," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(1), январь.
    29. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.
    30. Salnikov, V. & Mogilat, A. & Maslov, I., 2012. "Stress Testing for Russian Real Sector: First Approach," Journal of the New Economic Association, New Economic Association, vol. 16(4), pages 46-70.
    31. Пересецкий А.А., 2007. "Методы Оценки Вероятности Дефолта Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 43(3), июль.
    32. Peresetsky, Anatoly, 2013. "Modeling reasons for Russian bank license withdrawal: Unaccounted factors," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 49-64.
    33. Karminsky, A. & Kostrov, A., 2013. "Modeling the Default Probabilities of Russian Banks: Extended Abillities," Journal of the New Economic Association, New Economic Association, vol. 17(1), pages 64-86.
    34. Bekirova, Olga & Zubarev, Andrey, 2023. "Determinants of risk, profitability and default probability of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 20-38.

  11. Aivazian, Sergey & Golovan, Sergey & Karminsky, Alexander & Peresetsky, Anatoly, 2011. "An approach to ratings mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 13-40.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    3. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.

  12. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    See citations under working paper version above.
  13. Alexandr Karminsky & Anatoly Peresetsky, 2009. "Ratings as Measure of Financial Risk: Evolution, Function and Usage," Journal of the New Economic Association, New Economic Association, issue 1-2, pages 86-102.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Balatsky, E. & Ekimova, N., 2012. "The Global University Rankings: the Problem of Manipulation," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 126-146.
    3. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    4. Chang Liu & Biqian Zhang & Xuefei Wang & Min Guo, 2022. "Account-level analytic hierarchical mixing modeling for credit risk of Chinese Government financing vehicle portfolios," Empirical Economics, Springer, vol. 62(6), pages 2771-2798, June.
    5. Karminsky, A. & Dyachkova, N., 2020. "Empirical study of the relationship between credit cycles and changes in credit ratings," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 138-160.

  14. Karminsky, Alexandr & Peresetsky, Anatoly, 2007. "Models of Banks Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 5(1), pages 3-19.

    Cited by:

    1. Alexander Karminsky & Richard Hainsworth & Vasily Solodkov, 2013. "Arm’s Length Method for Comparing Rating Scales," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 114-135, December.
    2. Aivazian, Sergey & Golovan, Sergey & Karminsky, Alexander & Peresetsky, Anatoly, 2011. "An approach to ratings mapping," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 13-40.
    3. Zhivaikina, A. & Peresetsky, A., 2017. "Russian Bank Credit Ratings and Bank License Withdrawal 2012-2016," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 49-80.
    4. Anatoly Peresetsky, Alexander Karminsky, 2011. "Models for Moody’s Bank Ratings," Frontiers in Finance and Economics, SKEMA Business School, vol. 8(1), pages 88-110, April.
    5. Alexander M. Karminsky & Ella Khromova, 2016. "Modelling banks’ credit ratings of international agencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(3), pages 341-363, December.
    6. Peresetsky, A. A., 2011. "What factors drive the Russian banks license withdrawal," MPRA Paper 41507, University Library of Munich, Germany.
    7. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    8. Alexander M. Karminsky & Sergei Grishunin & Natalya Dyachkova & Maxim Bisenov, 2020. "The comparison of empirical methods for modeling credit ratings of industrial companies from BRICS countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 333-348, June.
    9. Peresetsky, Anatoly, 2009. "Models for the External Support Component of Moody's Bank Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 3-23.
    10. Ошерович Инна Львовна, 2015. "Анализ вероятностных соответствий меж ду рейтингами ведущих меж дународных компаний Moody’s, Fitch и standard&poor’s," Вестник Финансового университета, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3 (87), pages 136-148.
    11. Alexander M. Karminsky & Ella Khromova, 2018. "Increase of banks’ credit risks forecasting power by the usage of the set of alternative models," Russian Journal of Economics, ARPHA Platform, vol. 4(2), pages 155-174, June.
    12. Karminsky, A. & Dyachkova, N., 2020. "Empirical study of the relationship between credit cycles and changes in credit ratings," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 138-160.
    13. Denis Shibitov & Mariam Mamedli, 2019. "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series wps43, Bank of Russia.
    14. Salnikov, V. & Mogilat, A. & Maslov, I., 2012. "Stress Testing for Russian Real Sector: First Approach," Journal of the New Economic Association, New Economic Association, vol. 16(4), pages 46-70.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-RMG: Risk Management (3) 2011-11-28 2016-07-16 2016-07-30
  2. NEP-BAN: Banking (1) 2011-11-28
  3. NEP-CIS: Confederation of Independent States (1) 2018-03-05
  4. NEP-EFF: Efficiency and Productivity (1) 2018-03-05
  5. NEP-GER: German Papers (1) 2016-07-16
  6. NEP-IAS: Insurance Economics (1) 2016-07-30
  7. NEP-TRA: Transition Economics (1) 2018-03-05
  8. NEP-UPT: Utility Models and Prospect Theory (1) 2016-07-30
  9. NEP-URE: Urban and Real Estate Economics (1) 2016-07-30

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