|
||
|---|---|---|
| Copyright © 2008-2010 Riskdata. All rights reserved. | ||
Press Releases |
Learning from Amaranth: appropriate quantitative models critical to monitor hedge fund risk, according to Riskdata.October 19, 2006Riskdata, the leading risk management provider for alternative investments, today released a research paper to clients discussing what lessons the industry can learn from the Amaranth blow-up and how appropriate quantitative models, such as Riskdata's FOFiX system, can provide funds of hedge funds and investors with powerful analysis which is critical for monitoring hedge fund risk. Riskdata, the leading risk management provider for alternative investments, today released a research paper to clients discussing what lessons the industry can learn from the Amaranth blow-up and how appropriate quantitative models, such as Riskdata's FOFiX system, can provide funds of hedge funds and investors with powerful analysis which is critical for monitoring hedge fund risk. The blow-up at Amaranth has been viewed by analysts as an operational risk problem rather than a market risk problem:
Moreover, according to a number of its investors Amaranth was fairly transparent, providing good and high frequency qualitative information. The blow-up has rejuvenated a debate around risk management measures, with some believing that events such as Amaranth are beyond the scope of any quantitative risk system designed to detect systematic risks. However, Riskdata's FOFiX delivered three clear quantitative signals on the Amaranth fund, starting far before the first May draw down:
This shows that a quantitative system like Riskdata FOFiX can give strong support to the monitoring process, raising issues for qualitative analysis and enabling further discussions with the manager, especially around precise risk factors that could trigger a negative scenario — without requiring daily access to full portfolio transparency: Olivier Le Marois, Chief Executive of Riskdata commented: "Moreover, even if classical risk measures such as VaR (for instance "open-source RiskMetrics methodology"- like techniques) gave an advanced signal (ie point 1 above), this by itself is not sufficient. There are many other occurrences of increased VaR on the markets that are not alarming. Methodologies accounting for hedge funds specificities, such Riskdata FOFiX (ie points 2 and 3), focus risk managers' attention on much narrower and clearer signals, while leveraging qualitative insights." Ends For further information please contactRiskdataRiskdata Americas10 E 40th St Riskdata Europe & Middle East15 Stratton Street Media
|
Latest Case StudyTexas Treasury Safekeeping Trust Company Risk Management Endowment Adopts Risk Budgeting Strategy and Selects Riskdata To Implement New Approach |