We show that the use of correlations for modeling dependencies may lead to counterintuitive behavior of risk measures, such as Value-at-Risk (VaR) and Expected Short- fall (ES), when the risk of very rare events is assessed via Monte-Carlo techniques. The phenomenon is demonstrated for mixture...

Operationelle Risiken stellen für Banken nach dem Kreditrisiko die zweitwichtigste Risikokategorie dar. Ein effektives Risikomanagement der operationellen Risiken dürfte in Zukunft ein entscheidender Wettbewerbsfaktor sein. Im Rahmen der Neuregelung der bankaufsichtsrechtlichen Vorgaben...

Operational risk management and measurement has been paid an increasing attention in last years. The main two reasons are the Basel II requirements that were to be complied with by all international active financial institutions by the end of 2006 and recent severe operational risk loss events....

In this paper we review the actual operational data of an anonymous Central European Bank, using two approaches described in the literature: the loss distribution approach and the extreme value theory (EVT). Within the EVT analysis, two estimation methods were applied; the standard maximum...

Central bankers wish to ensure worldwide that large-value transfer systems, as a component of the key market infrastructure, exhibit sufficiently robust levels of operational resilience. We focus on the operational resilience of the Hungarian real time gross settlement system, known as VIBER....

The Basel Committee on Banking Supervision from the Bank for International Settlement classifies banking risks into three main categories including credit risk, market risk, and operational risk. The focus of this study is on the operational risk measurement in Iranian banks. Therefore, issues...

An empirical study was conducted to determine the impact of different types of risk on the performance management of credit rating agencies (CRAs). The different types of risks were classified as operational, market, business, financial, and credit. All these five variables were analysed to...

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 'unknown...

According to the last proposals of the Basel Committee on Banking Supervision, banks or insurance companies under the advanced measurement approach (AMA) must use four different sources of information to assess their operational risk capital requirement. The fourth includes 'business environment...

A challenge in enterprise risk measurement for diversified financial institutions is developing a coherent approach to aggregating different risk types. This has been motivated by rapid financial innovation, developments in supervisory standards (Basel 2) and recent financial turmoil. The main...