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Journal of the Operational Research Society Volume 66, 2015 - Issue 1
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General Paper

Operational risk modelling and organizational learning in structured finance operations: a Bayesian network approach

Andrew SanfordMonash UniversityVictoriaAustralia
&
Imad MoosaRMIT UniversityVictoriaAustralia
Pages 86-115 | Received 01 Apr 2010, Accepted 01 Mar 2013, Published online: 21 Dec 2017

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Nikki Cornwell, Christopher Bilson, Adrian Gepp, Steven Stern & Bruce J Vanstone. (2023) The role of data analytics within operational risk management: A systematic review from the financial services and energy sectors. Journal of the Operational Research Society 74:1, pages 374-402.
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Fernando S. Oliveira. (2022) A Causal Map Analysis of Supply Chain Decentralization. Journal of Computer Information Systems 62:2, pages 205-215.
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Serhat Simsek, Onur Genc, Abdullah Albizri, Semih Dinc & Bilal Gonen. (2020) Artificial neural network incorporated decision support tool for point velocity prediction. Journal of Business Analytics 3:1, pages 67-78.
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Kamil J. Mizgier & Maximilian Wimmer. (2018) Incorporating single and multiple losses in operational risk: a multi-period perspective. Journal of the Operational Research Society 69:3, pages 358-371.
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Yuan Hong & Shaojian Qu. (2024) Beyond Boundaries: The AHP-DEA Model for Holistic Cross-Banking Operational Risk Assessment. Mathematics 12:7, pages 968.
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Michalis Doumpos, Constantin Zopounidis, Dimitrios Gounopoulos, Emmanouil Platanakis & Wenke Zhang. (2023) Operational research and artificial intelligence methods in banking. European Journal of Operational Research 306:1, pages 1-16.
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Nikki Cornwell, Christopher Bilson, Adrian Gepp, Steven Stern & Bruce J. Vanstone. (2023) Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report. Pacific-Basin Finance Journal 77, pages 101906.
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Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka & Muhammad Jehangir. (2022) Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms. Complexity 2022, pages 1-11.
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Adil Oualid, Abderrahim Hansali, Youssef Balouki & Lahcen Moumoun. 2022. Advances in Information, Communication and Cybersecurity. Advances in Information, Communication and Cybersecurity 180 191 .
Ahmet EFE. (2021) Yapay Zeka Odaklı Siber Risk ve Güvenlik YönetimiArtificial Intelligence Focused Cyber Risk and Security Management. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi 5:2, pages 144-165.
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Yufeng Mao, Zongrun Wang, Xing Li, Chenggang Li & Hanning Wang. (2021) Construction and Application of the Online Finance Credit Risk Rating Model Based on the Artificial Neural Network. Discrete Dynamics in Nature and Society 2021, pages 1-11.
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Michail Tsagris. (2020) A New Scalable Bayesian Network Learning Algorithm with Applications to Economics. Computational Economics 57:1, pages 341-367.
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Grazia Dicuonzo, Francesca Donofrio & Graziana Galeone. 2021. Intellectual Capital, Smart Technologies and Digitalization. Intellectual Capital, Smart Technologies and Digitalization 119 130 .
H. Ben Hassen, A. Elaoud & K. Masmoudi. (2020) Modeling of agricultural soil compaction using discrete Bayesian networks. International Journal of Environmental Science and Technology 17:5, pages 2571-2582.
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Khalil Masmoudi, Lobna Abid & Afif Masmoudi. (2019) Credit risk modeling using Bayesian network with a latent variable. Expert Systems with Applications 127, pages 157-166.
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Adel Azar & Khadijeh Mostafaee Dolatabad. (2019) A method for modelling operational risk with fuzzy cognitive maps and Bayesian belief networks. Expert Systems with Applications 115, pages 607-617.
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Saqib Aziz & Michael Dowling. 2019. Disrupting Finance. Disrupting Finance 33 50 .
Lu Wei, Jianping Li & Xiaoqian Zhu. (2018) Operational Loss Data Collection: A Literature Review. Annals of Data Science 5:3, pages 313-337.
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Onur Genc & Ali Dag. (2016) A Bayesian network-based data analytical approach to predict velocity distribution in small streams. Journal of Hydroinformatics 18:3, pages 466-480.
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Mathieu Mercadier, Amine Tarazi, Paul Armand & Jean-Pierre Lardy. (2021) Banks’ Risk Clustering Using K-Means: A Method Based on Size and Individual & Systemic Risks. SSRN Electronic Journal.
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