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Practice oriented and Monte Carlo based estimation of the value-at-risk for operational risk measurement
Greselin, Francesca; Piacenza, Fabio; Zitikis, Ričardas - In: Risks : open access journal 7 (2019) 2/50, pp. 1-20
We explore the Monte Carlo steps required to reduce the sampling error of the estimated 99.9% quantile within an acceptable threshold. Our research is of primary interest to practitioners working in the area of operational risk measurement, where the annual loss distribution cannot be...
Persistent link: https://www.econbiz.de/10012019128
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Operational resilience disclosures by banks: analysis of annual reports
Leo, Martin - In: Risks : open access journal 8 (2020) 4/128, pp. 1-15
An array of developments impacting the financial services industry, such as increasing complexity, interconnectedness, third party dependencies and digitalization, means operational resilience will remain a significant area of concern for policy makers, investors and customers. The purpose of...
Persistent link: https://www.econbiz.de/10012391018
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A multivariate Mmdel to quantify and mitigate cybersecurity risk
Bentley, Mark; Stephenson, Alec; Toscas, Peter; Zhu, Zili - In: Risks : open access journal 8 (2020) 2/61, pp. 1-20
The cost of cybersecurity incidents is large and growing. However, conventional methods for measuring loss and choosing mitigation strategies use simplifying assumptions and are often not supported by cyber attack data. In this paper, we present a multivariate model for different, dependent...
Persistent link: https://www.econbiz.de/10012292946
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Bigger is not always safer : a critical analysis of the subadditivity assumption for coherent risk measures
Rau-Bredow, Hans - In: Risks : open access journal 7 (2019) 3/91, pp. 1-18
measures. Contrary to the subadditivity assumption, bank mergers can create extra risk. We begin with an analysis how a merger … affects depositors, junior or senior bank creditors, and bank owners. Next it is shown that bank mergers can result in higher … interbank loans, a bank merger could lead to additional contagion risks. We conclude that the subadditivity assumption should be …
Persistent link: https://www.econbiz.de/10012126479
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A proposed methodology for literature review on operational risk management in banks
Jiravichai, Ajjima; Ruthī Phanomyong - In: Risks : open access journal 10 (2022) 5, pp. 1-18
The purpose of this paper is to propose a methodology that enables researchers to identify relevant search terms when conducting a literature review. This methodology requires an analysis of existing literature review articles on the topic under study to form keywords. The objective of this...
Persistent link: https://www.econbiz.de/10013357335
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Uncertainty reduction in operational risk management process
Burstein, Guy; Zuckerman, Inon - In: Risks : open access journal 12 (2024) 5, pp. 1-12
This paper proposes a new framework to reduce the variance and uncertainty in the risk assessment process. Today, this process is susceptible to background noise from sources of human factor biases and erroneous measurements. Our new framework consists of deconstructing the likelihood of failure...
Persistent link: https://www.econbiz.de/10014636602
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Active management of pperational risk in the regimes of the "unknown" : what can machine learning or heuristics deliver?
Milkau, Udo; Bott, Jürgen - In: Risks : open access journal 6 (2018) 2, pp. 1-16
Advanced machine learning has achieved extraordinary success in recent years. “Active” operational risk beyond ex post analysis of measured-data machine learning could provide help beyond the regime of traditional statistical analysis when it comes to the “known unknown” or even the...
Persistent link: https://www.econbiz.de/10011866399
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The cascade Bayesian approach : prior transformation for a controlled integration of internal data, external data and scenarios
Hassani, Bertrand; Renaudin, Alexis - In: Risks : open access journal 6 (2018) 2, pp. 1-17
According to the last proposals of the Basel Committee on Banking Supervision, banks or insurance companies under the …
Persistent link: https://www.econbiz.de/10011866503
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Lambda value at risk and regulatory capital : a dynamic approach to tail risk
Hitaj, Asmerilda; Mateus, Cesario; Peri, Ilaria - In: Risks : open access journal 6 (2018) 1, pp. 1-18
This paper presents the first methodological proposal of estimation of the VaR. Our approach is dynamic and calibrated to market extreme scenarios, incorporating the need of regulators and financial institutions in more sensitive risk measures. We also propose a simple backtesting methodology by...
Persistent link: https://www.econbiz.de/10011811561
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Bank stress testing : a stochastic simulation framework to assess banks' financial fragility
Montesi, Giuseppe; Papiro, Giovanni - In: Risks : open access journal 6 (2018) 3, pp. 1-54
We present a stochastic simulation forecasting model for stress testing that is aimed at assessing banks’ capital adequacy, financial fragility, and probability of default. The paper provides a theoretical presentation of the methodology and the essential features of the forecasting model on...
Persistent link: https://www.econbiz.de/10011890804