Implications of Alternative Operational Risk Modeling Techniques

Patrick de Fontnouvelle, Eric S. Rosengren and John S. Jordan

in The Risks of Financial Institutions

Published by University of Chicago Press

Published in print February 2007 | ISBN: 9780226092850
Published online February 2013 | e-ISBN: 9780226092980 | DOI:
Implications of Alternative Operational Risk Modeling Techniques

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This chapter employs data supplied by six large, internationally active banks to identify if the regularities in the loss data will make consistent modeling of operational losses possible. It is noted that operational risk is a material risk faced by financial institutions. The data indicate that it may be difficult to fit parametric loss-severity distributions over the entire range of loss amounts, even if separate analyses are conducted for each business line and event type. Loss-severity distributions at the six banks under consideration have tail indexes ranging between 0.50 and 0.86. Assuming a Pareto severity distribution yielded capital estimates that were broadly consistent with the Basel Committee's expectation that operational risk accounts for 12 percent of minimum regulatory capital. As banks obtain three or more years of good operational loss data, the ability to differentiate across alternative distributional assumptions should improve.

Keywords: loss data; modeling; operational losses; operational risk; financial institutions; loss-severity distributions; regulatory capital

Chapter.  13148 words.  Illustrated.

Subjects: Financial Markets

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