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Journal articles on the topic 'Operational Risk'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Couto, André, Rui Gonçalves, Leandro Pereira, Renato Lopes Da Costa, Álvaro Lopes Dias, and Rui Vinhas Da Silva. "Operational Risk Mitigation in Credit Operations." International Journal of Technology and Globalisation 9, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijtg.2022.10048418.

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2

Couto, André, Rui Gonçalves, Leandro Pereira, et al. "Operational risk mitigation in credit operations." International Journal of Technology and Globalisation 9, no. 1 (2024): 1–18. http://dx.doi.org/10.1504/ijtg.2024.142618.

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3

Jarrow, Robert A. "Operational risk." Journal of Banking & Finance 32, no. 5 (2008): 870–79. http://dx.doi.org/10.1016/j.jbankfin.2007.06.006.

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4

ANGHELACHE, Gabriela, Ana-Cornelia, and Alina-Nicoleta RADU. "Operational Risk Measurement." EUROPEAN RESEARCH STUDIES JOURNAL XIII, Issue 1 (2010): 215–23. http://dx.doi.org/10.35808/ersj/268.

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5

Kaspereit, Thomas, Kerstin Lopatta, Suren Pakhchanyan, and Jörg Prokop. "Systemic operational risk." Journal of Risk Finance 18, no. 3 (2017): 252–67. http://dx.doi.org/10.1108/jrf-11-2016-0141.

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Purpose The aim of this paper is to study the information content of operational loss events occurring at European financial institutions with respect to the announcing bank’s industry rivals from an equity investor’s perspective. Design/methodology/approach The authors conduct an event study to identify spillover effects of operational loss events using the Carhart (1997) four-factor model as a benchmark model. In addition, they conduct multiple regression analyses to investigate the extent to which firm-specific factors or the market environment affect abnormal returns. Findings They observe

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6

Tharwat, Assem, Ramadan ZeinEldin, Hamiden Khalifa, and Ahmed Saleim. "Fuzzy Risk Measure for Operational Risk." Journal of Advances in Mathematics and Computer Science 28, no. 1 (2018): 1–17. http://dx.doi.org/10.9734/jamcs/2018/42625.

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7

Chutia, Rakesh. "Operational Risk Management in Banking Sector: An overview." Indian Journal of Applied Research 3, no. 1 (2011): 6–8. http://dx.doi.org/10.15373/2249555x/jan2013/4.

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8

SOUDANE Jalila, Ait, Essaidy Mohammed, and KATFI Otmane. "Operational Risk Management: Practical Case of Insurance Intermediaries." International Journal of Science and Research (IJSR) 10, no. 8 (2021): 54–61. https://doi.org/10.21275/sr21730210105.

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9

Rippel, Milan, and Petr Teplý. "Operational Risk - Scenario Analysis." Prague Economic Papers 20, no. 1 (2011): 23–39. http://dx.doi.org/10.18267/j.pep.385.

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10

Curti, Filippo, Ibrahim Ergen, Minh Le, Marco Migueis, and Robert Stewart. "Benchmarking Operational Risk Models." Finance and Economics Discussion Series 2016, no. 070 (2016): 1–26. http://dx.doi.org/10.17016/feds.2016.070.

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11

Bello, Camilla, Stefano Desando, Veruska Orio, Paolo Giudici, and Barbara Tarantino. "Pandemic risk: operational aspects." Risk Management Magazine 3, no. 2020 (2020): 29–32. http://dx.doi.org/10.47473/2020rmm0073.

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At the beginning of the COVID-19 pandemic, Intesa Sanpaolo has developed a contagion model aimed at calibrating the measures to be taken to safeguard its employees and the provision of banking services, according to the risk deriving from the external environment. The model is based on both external and internal views: the combination of such elements provides a holistic picture of the overall contagion risk level, enabling the opportunity to take informed decisions for each geographical area. One of the most useful external indicators to feed the model is the reproduction index (Rt) provided

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12

Piacenza, Fabio, Daniele Ruspantini, and Aldo Soprano. "Operational risk class homogeneity." Journal of Operational Risk 1, no. 3 (2006): 51–59. http://dx.doi.org/10.21314/jop.2006.015.

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13

Moosa, Imad. "Misconceptions about operational risk." Journal of Operational Risk 1, no. 4 (2007): 97–104. http://dx.doi.org/10.21314/jop.2006.018.

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14

Figini, Silvia, Lijun Gao, and Paolo Giudici. "Bayesian operational risk models." Journal of Operational Risk 10, no. 2 (2015): 45–60. http://dx.doi.org/10.21314/jop.2015.155.

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15

Sendova, Kristina. "Operational Risk: Modeling Analytics." Technometrics 49, no. 4 (2007): 492. http://dx.doi.org/10.1198/tech.2007.s685.

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16

Moosa, Imad A. "Operational Risk: A Survey." Financial Markets, Institutions & Instruments 16, no. 4 (2007): 167–200. http://dx.doi.org/10.1111/j.1468-0416.2007.00123.x.

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17

Mishchenko, Volodymyr, Svitlana Naumenkova, Andrii Grytsenko, and Svitlana Mishchenko. "Operational risk management of using electronic and mobile money." Banks and Bank Systems 17, no. 3 (2022): 142–57. http://dx.doi.org/10.21511/bbs.17(3).2022.12.

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The extensive use of electronic and mobile money causes additional risks, which complicates the work of electronic money issuers (EMIs) and the functioning of payment systems. The paper aims to investigate operational risk management in the process of using electronic and mobile money. A classification of operational risk types was carried out and the forms of their manifestation in payment systems using electronic and mobile money were characterized. The list of key risk indicators has been compiled to assess the operational risk factors of payment systems using mobile and electronic money; a

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18

Finke, Gandolf, Mahender Singh, and Svetlozar Rachev. "Operational Risk Quantification : A Risk Flow Approach." Journal of Operational Risk 5, no. 4 (2010): 65–89. http://dx.doi.org/10.21314/jop.2010.083.

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19

Bott, Jürgen, and Udo Milkau. "Outsourcing risk: a separate operational risk category?" Journal of Operational Risk 10, no. 3 (2015): 109–37. http://dx.doi.org/10.21314/jop.2015.152.

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20

Chou, Chun-Hsin, Joe-Ming Lee, Ying-Maw Teng, and Hsiu-Ling Lee. "The relationships between productivity, operational risk, and firm performance." Agricultural Economics (Zemědělská ekonomika) 68, No. 3 (2022): 97–106. http://dx.doi.org/10.17221/222/2021-agricecon.

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The aim of this study was to revisit the relationship between productivity and performance by using the panel data model on Taiwanese food listed firms during 2008–2020. The result found that there is a U-shaped relationship between productivity and performance. On the contrary, research and development (R&amp;D) innovation and performance have an inverse U-shaped relationship, reminding that when the food listed firms have a specific R&amp;D innovation base, they should invest more powerful resources, professional productivity, and innovate the food listed firms.

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21

Stoyanov, Anatoli, Stefan Kazakov, and Veselina Kodzheykova. "ALGORITHM OF OPERATIONAL RISK ASSESSMENT OF BULGARIAN POSTS PLC." Journal Scientific and Applied Research 23, no. 1 (2022): 105–13. http://dx.doi.org/10.46687/jsar.v23i1.358.

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The report examines the main activities of the management technology of Bulgarian Posts and defines the organization and factors of management processes. The proposed algorithm aims to validate these interconnected relationships that make up a logistics system. An approach was adopted for mathematical modeling of operations and criteria for evaluating socio-economic indicators.

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22

Eko Muliansyah and Nurmala. "Credit risk, operational risk, and liquidity risk on profitability." World Journal of Advanced Research and Reviews 19, no. 1 (2023): 744–52. http://dx.doi.org/10.30574/wjarr.2023.19.1.1426.

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Profitability is the ability of the Village Credit Institution to generate profits and is a ratio that can assess how the Village Credit Institution's ability to generate profits. The high profitability of the Village Credit Institution indicates the good performance of the Village Credit Institution. This study aims to determine the effect of credit risk, operational risk, and liquidity risk on profitability. This research was conducted at the Village Credit Institution for the period 2017-2021. The data collection method used is the non-behavioral observation method with multiple linear regr

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23

Eko, Muliansyah, and Nurmala. "Credit risk, operational risk, and liquidity risk on profitability." World Journal of Advanced Research and Reviews 19, no. 1 (2023): 744–52. https://doi.org/10.5281/zenodo.10258369.

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Profitability is the ability of the Village Credit Institution to generate profits and is a ratio that can assess how the Village Credit Institution's ability to generate profits. The high profitability of the Village Credit Institution indicates the good performance of the Village Credit Institution. This study aims to determine the effect of credit risk, operational risk, and liquidity risk on profitability. This research was conducted at the Village Credit Institution for the period 2017-2021. The data collection method used is the non-behavioral observation method with multiple linear regr

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24

Czarniawska, Barbara. "Operational Risk, Translation, and Globalization." Contemporary Economics 6, no. 2 (2012): 26–39. http://dx.doi.org/10.5709/ce.1897-9254.40.

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25

Gantsev, Sh Kh. "Operational risk in abdominal surgery." Kazan medical journal 70, no. 3 (1989): 213–14. http://dx.doi.org/10.17816/kazmj99892.

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There is a concept of "surgical risk" for judging the degree of surgical danger. The changes occurring in the organism under the influence of surgical trauma are determined, on the one hand, by the traumatic nature of the operation, and, on the other hand, by the reliability of homeostasis regulation systems. Traumaticity is a variety of mechanical, chemical and other impacts on the body of the operated, which are directly proportional to the duration of surgical interventions, its scale and exposure areas. The reliability of homeostasis regulation systems consists of a large number of indicat

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26

Giacometti, Rosella, Svetlozar Rachev, Anna Chernobai, and Marida Bertocchi. "Aggregation issues in operational risk." Journal of Operational Risk 3, no. 3 (2008): 3–23. http://dx.doi.org/10.21314/jop.2008.048.

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27

Horbenko, Nataliya, Peter Ruckdeschel, and Taehan Bae. "Robust estimation of operational risk." Journal of Operational Risk 6, no. 2 (2011): 3–30. http://dx.doi.org/10.21314/jop.2011.090.

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28

Cruz, Marcelo, Rodney Coleman, and Gerry Salkin. "Modeling and measuring operational risk." Journal of Risk 1, no. 1 (1998): 63–72. http://dx.doi.org/10.21314/jor.1998.002.

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29

Ebnöther, Silvan, Paolo Vanini, Alexander McNeil, and Pierre Antolinez. "Operational risk: a practitioner's view." Journal of Risk 5, no. 3 (2003): 1–15. http://dx.doi.org/10.21314/jor.2003.077.

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30

Leippold, Markus, and Paolo Vanini. "The quantification of operational risk." Journal of Risk 8, no. 1 (2005): 59–85. http://dx.doi.org/10.21314/jor.2005.123.

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31

Beroggi, G. E. G., and W. A. Waliace. "Multi-expert operational risk management." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 30, no. 1 (2000): 32–44. http://dx.doi.org/10.1109/5326.827452.

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32

Power, Michael. "The invention of operational risk." Review of International Political Economy 12, no. 4 (2005): 577–99. http://dx.doi.org/10.1080/09692290500240271.

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33

Böcker, Klaus, and Claudia Klüppelberg. "Multivariate models for operational risk." Quantitative Finance 10, no. 8 (2010): 855–69. http://dx.doi.org/10.1080/14697680903358222.

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34

Bayaga, Anass. "Operational Risk Management: Control Mechanisms." Journal of Social Sciences 34, no. 1 (2013): 29–35. http://dx.doi.org/10.1080/09718923.2013.11893115.

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35

Sands, Peter, Gordon Liao, and Yueran Ma. "Rethinking Operational Risk Capital Requirements." Journal of Financial Regulation 4, no. 1 (2018): 1–34. http://dx.doi.org/10.1093/jfr/fjx009.

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36

Karwański, M., and U. Grzybowska. "Modeling Correlations in Operational Risk." Acta Physica Polonica A 133, no. 6 (2018): 1402–7. http://dx.doi.org/10.12693/aphyspola.133.1402.

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37

Amri, Khalid Al. "CEO compensation and operational risk." International Journal of Business Innovation and Research 12, no. 4 (2017): 407. http://dx.doi.org/10.1504/ijbir.2017.082824.

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38

Al Amri, Khalid. "CEO compensation and operational risk." International Journal of Business Innovation and Research 12, no. 4 (2017): 407. http://dx.doi.org/10.1504/ijbir.2017.10003333.

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39

Mitra, Sovan. "Operational risk of option hedging." Economic Modelling 33 (July 2013): 194–203. http://dx.doi.org/10.1016/j.econmod.2013.04.031.

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40

Mitra, Sovan. "SCENARIO GENERATION FOR OPERATIONAL RISK." Intelligent Systems in Accounting, Finance and Management 20, no. 3 (2013): 163–87. http://dx.doi.org/10.1002/isaf.1341.

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41

Shafer, Michael, and Yildiray Yildirim. "Operational risk and equity prices." Finance Research Letters 10, no. 4 (2013): 157–68. http://dx.doi.org/10.1016/j.frl.2013.05.001.

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42

Fahrul, Muhammad, and Ellen Rusliati. "Credit Risk, Market Risk, Operational Risk and Liquidity Risk on Profitability of Banks in Indonesia." TRIKONOMIKA 15, no. 2 (2016): 78. http://dx.doi.org/10.23969/trikonomika.v15i2.387.

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This study examines the effect of credit risk, market risk, operational risk, and liquidity risk on profitability of banks listed on the Indonesia Stock Exchange in 2010-2014. The method used is descriptive and verification methods, with a sample of 30 banks and using multiple regression analysis. The results showed that credit risk does not partially affect profitability. Market risk, operational risk, and liquidity risk partially have positive effect on profitability. It simultaneously shows that credit risk, market risk, operational risk and liquidity risk have effect on the profitability o

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43

Borota, A. V., A. P. Kuhto, N. K. Baziyan-Kuhto, A. A. Borota, and Ye V. Onischenko. "EXPERT SYSTEM FORECAST OPERATIONAL RISK ASSESSMENT EFFECTIVE IMPLEMENTATION OF SIMULTANEOUS OPERATIONS." Koloproktologia, no. 3 (September 30, 2017): 22–27. http://dx.doi.org/10.33878/2073-7556-2017-0-3-22-27.

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ЦЕЛЬ ИССЛЕДОВАНИЯ. При помощи разработанной в клинике экспертной системы прогноза операционного риска (ЭСПОР) уточнить показания, ведение пред- и постоперационного периода и доказать эффективность выполнения СОВ у пациентов с различными заболеваниями толстой кишки (ЗТК) и хирургической патологией органов брюшной полости (ОБП). МАТЕРИАЛЫ И МЕТОДЫ. В клинике общей хирургииДонНМУ им. М. Горького на базе хирургического отделения № 2 ДОКТМО за период с 2012 по 2015 гг. проведено оперативное лечение 986 пациентов с патологией толстой кишки. Проанализированы результаты лечения 127 (12,8%) пациентов с

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44

Yang, Xue, Ramin Ramezani, Ingrid Bouwer Utne, Ali Mosleh, and Pål Furset Lader. "Operational limits for aquaculture operations from a risk and safety perspective." Reliability Engineering & System Safety 204 (December 2020): 107208. http://dx.doi.org/10.1016/j.ress.2020.107208.

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45

Barthel, Amalia. "The relationship between digital risk and operational risk." Business & Management Collection 2025, no. 5 (2025): e1006519. https://doi.org/10.69645/ssrr3809.

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46

Scandizzo, Sergio. "Risk Mapping and Key Risk Indicators in Operational Risk Management." Economic Notes 34, no. 2 (2005): 231–56. http://dx.doi.org/10.1111/j.0391-5026.2005.00150.x.

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47

Patricia, Pereira Eduardo Sá e. Silva Adalmiro Pereira. "Operational Risk Management The Basel I." International Journal of Business Management and Technology 2, no. 5 (2023): 35–61. https://doi.org/10.5281/zenodo.7648349.

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This work shows the operational risk management and the importance of implementing an appropriate structure of risk management. In order to contextualize the issue was addressed the concept of risk and operational risk and the various risk categories and made the frame in the various Basel Accords. It focused on Basel II that has innovated dealing with operational risk, hitherto forgotten. In this context it was discussed the various risk assessment methods: basic, standard and advanced. The theme is organized so that there is a common thread that culminates in risk management presenting the g

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48

Moolchandani, Sanjay. "Factor Analysis Framework for Credit, Operational, and Market Risk Modeling." International Journal of Science and Research (IJSR) 13, no. 4 (2024): 1987–93. http://dx.doi.org/10.21275/sr24417094840.

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49

Dexter, N. C., C. L. Ford, P. C. Jakhria, et al. "Quantifying Operational Risk in Life Insurance Companies. Developed by the Life Operational Risk Working Party." British Actuarial Journal 13, no. 2 (2007): 257–337. http://dx.doi.org/10.1017/s1357321700001483.

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ABSTRACTThis paper overviews a practical approach to the assessment of operational risk in life insurance companies. It considers how actuaries, working in conjunction with risk management professionals and senior management, can develop a framework to assess the capital requirements relating to operational risk, taking into account the capital requirements of other risks and their interaction.This paper recognises that we do not live in an ideal world, and that a lot of the data which one might want for operational risk assessment are not, and in some cases never will be, available. Consequen

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50

Boyar-Sozonovitch, Andrey S., Alexey Yu Buikin, and Kirill V. Pitelinskiy. "Features of enterprise risk management associated with operational risks." Revista Amazonia Investiga 10, no. 46 (2021): 9–19. http://dx.doi.org/10.34069/ai/2021.46.10.1.

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Purpose of the work: within the framework of the concept of corporate risk management Enterprise Risk Management (ERM) to study the basic types of risks, assess their role in the modern economy, analyze external and internal operational risks and propose approaches to their quantitative assessment. As a research methodology, it is proposed to use the developed tools of mathematical and numerical modeling, which allows one to obtain, in the key of interest to the decision maker, qualitative and quantitative characteristics of the dynamics of business processes. The operational and economic risk

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