2003 · 113 citations · 9 references
Risk Model ValidationFinancial Risk ManagementRisk MetricCost Of CapitalOperational RiskRisk AnalysisRisk MeasureRisk ManagementManagementBasel CommitteeBasel IiFinancial ModelingAccountingFinanceBusinessFinancial EngineeringRegulatory EnvironmentRegulationCapital StructureFinancial Crisis
Basel II mandates explicit operational‑risk treatment, proposing VaR for regulatory capital, yet irregular loss data undermine standard modeling. The study seeks to equip banks to capture severe tail‑loss events for regulatory compliance. Traditional approaches, including extreme‑value theory, fail because operational loss data rarely satisfy their assumptions.
The proposed New Accord (Basel II) established by the Basel Committee on Banking Supervision calls for an explicit treatment of operational risk. Banks are required to demonstrate their ability to capture severe tail loss events. Value at risk is a risk measure that could be used to derive the necessary regulatory capital. Yet operational loss data typically exhibit irregularities which complicate the mathematical modeling. It is shown that traditional modeling approaches, including extreme value theory, reach their limits as the structure of operational loss data is barely in line with the modeling assumptions.
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Philippe Artzner, Freddy Delbaen, Jean‐Marc Eber et al. · Mathematical Finance · 1999 · 8.9K citations
Empirical Finance, Financial Risk Management, Risk Metric +22
Loss Models: From Data to Decisions
James D. Broffitt, Stuart A. Klugman, Harry H. Panjer et al. · Journal of the American Statistical Association · 1999 · 1.3K citations
Extreme Value Theory for Risk Managers
Alexander J. McNeil · 1999 · 259 citations