This paper proposes a methodology to analyze the implications of the Advanced Measurement Approach (AMA) put forward by the Basel II Accord for the assessment of operational risk. We develop an integrated procedure for the construction of the distribution of aggregate losses, using internal and...

This paper analyzes the implications of the advanced measurement approach (AMA) for the assessment of operational risk. Through a clinical case study on a matrix of two selected business lines and two event types of a large financial institution, we develop a procedure that addresses the major...

The new Basel II Capital Accord incorporates an explicit capital requirement for operational risk into its proposed capital framework. Unfortunately, although the advanced approaches for the measurement of operational risk evolve rapidly, the absence of reliable internal operational loss...

The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (Advanced Measurement Approaches (AMA)) in financial institutions. As there is a greater variety in credit risk modelling, this article explores the applicability of a...

This paper analyzes the implications of the advanced measurement approach (AMA) for the assessment of operational risk. Through a clinical case study on a matrix of two selected business lines and two event types of a large financial institution, we develop a procedure that addresses the major...

The high level of sophistication in portfolio management modeling techniques often goes along with very large output sensitivity to parameter choices. As a potential solution to this problem, this paper proposes a consistent and flexible methodology to represent the distribution of future values...

This paper discusses and documents G@RCH 2.2, an Ox package dedicated to the estimation and forecast of various univariate ARCH-type models including GARCH, EGARCH, GJR, APARCH, IGARCH, FIGARCH, HYGARCH, FIEGARCH and FIAPARCH specifications of the conditional variance and an AR(FI)MA...