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Reputational risks, value of losses and financial sustainability of commercial banks

Author

Listed:
  • Natalia Kunitsyna

    (NCFU - North-Caucasus Federal University)

  • Igor Britchenko

    (State Higher Vocational School Memorial of Prof. Stanislaw Tarnowski in Tarnobrzeg)

  • Igor Kunitsyn

    (NCFU - North-Caucasus Federal University)

Abstract

Currently, under the conditions of permanent financial risks that hamper the sustainable economic growth in the financial sector, the development of evaluation and risk management methods both regulated by Basel II and III and others seem to be of special importance. The reputation risk is one of significant risks affecting reliability and credibility of commercial banks. The importance of reputation risk management and the quality of their assessment remain relevant as the probability of decrease in or loss of business reputation influences the financial results and the degree of customers', partners' and stakeholders' confidence. By means of imitating modeling based on Bayesian Networks and the fuzzy data analysis, the article characterizes the mechanism of reputation risk assessment and possible losses evaluation in banks by plotting normal and lognormal distribution functions. Monte-Carlo simulation is used to calculate the probability of losses caused by reputation risks. The degree of standardized histogram similarity is determined on the basis of the fuzzy data analysis applying Hamming distance method. The tree-like hierarchy based on the OWA-operator is used to aggregate the data with Fishburne's coefficients as the convolution scales. The mechanism takes into account the impact of criteria, such as return on equity, goodwill value, the risk assets ratio, the share of the productive assets in net assets, the efficiency ratio of interest bearing liabilities, the risk ratio of credit operations, the funding ratio and reliability index on the business reputation of the bank. The suggested methods and recommendations might be applied to develop the decision-making mechanism targeted at the implementation of reputation risk management system in commercial banks as well as to optimize risk management technologies.

Suggested Citation

  • Natalia Kunitsyna & Igor Britchenko & Igor Kunitsyn, 2018. "Reputational risks, value of losses and financial sustainability of commercial banks," Post-Print hal-01859319, HAL.
  • Handle: RePEc:hal:journl:hal-01859319
    DOI: 10.9770/jesi.2018.5.4(17)
    Note: View the original document on HAL open archive server: https://hal.science/hal-01859319
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    Cited by:

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    2. Haitham Nobanee & Maryam Alhajjar & Ghada Abushairah & Safaa Al Harbi, 2021. "Reputational Risk and Sustainability: A Bibliometric Analysis of Relevant Literature," Risks, MDPI, vol. 9(7), pages 1-21, July.
    3. Rasa Subačienė & Lehte Alver & Inta Brūna & Mirjana Hladika & Daša Mokošová & Jan Molín, 2018. "Evaluation of accounting regulation evolution in selected countries," Post-Print hal-02121121, HAL.
    4. Valentyna Yakubiv & Ruslana Sodoma & Oksana Hrytsyna & Natalia Pavlikha & Tetiana Shmatkovska & Iryna Tsymbaliuk & Olga Marcus & Iryna Brodska, 2019. "Development of electronic banking: a case study of Ukraine," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 219-232, September.
    5. Francisco Guijarro & Ismael Moya-Clemente & Jawad Saleemi, 2019. "Liquidity Risk and Investors’ Mood: Linking the Financial Market Liquidity to Sentiment Analysis through Twitter in the S&P500 Index," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
    6. Egidijus Bikas & Vitalija Saponaitė, 2018. "Behavior of the Lithuanian investors at the period of economic growth," Post-Print hal-02121012, HAL.
    7. Rasa Subačienė & Lehte Alver & Inta Brūna & Mirjana Hladika & Daša Mokošová & Jan Molín, 2018. "Evaluation of accounting regulation evolution in selected countries," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(1), pages 139-175, September.
    8. Karine Alexandrovna Barmuta & Vadim Vitalievich Ponkratov & Maksim Maramygin & Nikolay Vladimirovich Kuznetsov & Vitali Ivlev & Marina I. Ivleva, 2019. "Mathematical model of optimizing the balance sheet structure of the Russian banking system with allowance for the foreign exchange risk levels," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 484-497, September.
    9. Waldemar Milewicz, 2020. "The influence of foreign investors on the development of Polish enterprises – a case study of the BPH bank," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 829-839, December.
    10. Pushkareva, Lyudmila & Galochkina, Olga & Bezgacheva, Olga, 2018. "Current trends in the banking system of Russia," MPRA Paper 97386, University Library of Munich, Germany.
    11. Egidijus Bikas & Vitalija Saponaitė, 2018. "Behavior of the Lithuanian investors at the period of economic growth," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(1), pages 44-59, September.
    12. Oksana Zagorodniuk & Maryna Gomeniuk & Liudmyla Maliuga, 2022. "Management Of Economic Security Of Horticultural Enterprises In Ukraine," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 8(2).
    13. Nisful Laila & Karina Ayu Saraswati & Himmatul Kholidah, 2019. "Efficient portfolio composition of Indonesian Islamic bank financing," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 34-43, September.
    14. Mangirdas Morkunas & Gintaras Cernius & Gintare Giriuniene, 2019. "Assessing Business Risks of Natural Gas Trading Companies: Evidence from GET Baltic," Energies, MDPI, vol. 12(14), pages 1-14, July.

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    More about this item

    Keywords

    value of losses; sustainable development; business reputation; commercial banks; reputation risks; risk level; economic modeling;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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