Loss data

Asset managers feel the op risk pressure

Increased regulatory scrutiny combined with investor demand for better transparency and corporate governance standards is driving improvements in the way operational risk is managed at asset and fund management businesses since the events of the…

Mizuho provides a model model for AMA in Japan

Japan’s regulator points to Mizuho Financial Group’s operational risk management model as an example for banks in the country to follow. Shigehiko Mori, the group’s head of operational risk, talks about how the model works and his plans for continued…

Consortiums look beyond historical loss data

The financial crisis has shown historical loss data is not enough to help model and predict future op risk events, so some loss data consortiums are looking to include features such as scenario analysis results in their databases

A common language

Goldman Sachs’ operational risk management department has two global co-heads, Spyro Karetsos and Mark D’Arcy, who together are using a ‘Rosetta Stone’ approach to break down operational risk language barriers between business lines.

An operational model

Scarce and shallow loss data has been the bane of operational risk models historically, but a new paper calls for more work on statistical approaches that could improve their sensitivity. By Peter Madigan

It's all relative

The Operational Risk Consortium recently carried out an analysis of its growing database of operational losses in the insurance business. It found evidence of the need for scaling, which suggests no firm's losses should be viewed in isolation. Mariano…

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