Siec Bayesa jako narzedzie wspomagajce zarzadzanie ryzykiem operacyjnym w banku

Dominika Gadowska - dos Santos

Problemy Zarzadzania, 2017, vol. 15, issue 66, 125-144

Abstract: This paper shows that analysis of risk sources and identification of cause-effect relationships are crucial elements of the operational risk management process. Knowledge of the reasons and consequences of risk materialization is key for reliable forecasting of the effects of managerial actions and for planning interventions capable of shaping the reality according to expectations. The article concentrates on presenting one means of analyzing causal chains – Bayesian networks that can help banks understand the nature of operational risk, minimizing its scale, and, as a result, increasing the financial institutions’ efficiency. The definition, design rules, ways of using the method to analyze cause-effect relationships between operational risk factors, as well as advantages and drawbacks of the approach, are discussed.

Keywords: operational risk; bank; Bayesian network; cause-effect relationships institutions; deposit guarantee schemes (search for similar items in EconPapers)
JEL-codes: C11 D81 D83 G21 G31 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sgm:pzwzuw:v:15:i:66:y:2017:p:125-144

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