Sunday, August 5, 2012

Audit Chain is Broken Front-To-Back, not Asset-to-Asset, Says GoldenSource

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Pricing mechanisms in the front office and valuationsefor P&L in the back officee often depend on the same pricse and rate data, yet both areas derivr this information from disparate sources. According to research* from consultancy A-Team Group, 87 percent of risk managerse are interested in centralizing market andreference data, namelyg to address the following: - Volatility - unprecedentedd market movements are impacting portfolios, customers, counterparties and issuerds faster than ever; back-office risk and P&L systemds can no longer wait until end-of-day to accesws critical market data - Accuracy and consistencyy - because of the similarity, regulators are expectinyg much of the same data used in the tradingb decision process to be extended to P&L and risk management - Multi-source validation for middle and back-office valuation - regulatory and clienyt demands for insight into how a value was deri vefd means that golden copy pricing needs to extend beyondc static reference sets and include multiple market data sources - Elimination of asset-basesd silos: siloed desks have traditionally been blamedc for the inability to get a complete view of risk and these silos are now being broken yet the divide between market and reference data persists "By definition, enterprise risk managementt and reporting should go front-to-back as well as across assets," says Gert Raeves, VP of Strategic Business Development at GoldenSource.
"A trusted data environmentf forinterdependent front- and back-office processes now reliez on the centralization of marke t and reference data. With market there is a convergence point where a snapshot of the markety can be captured and validated fordownstreanm applications." To arrange an interviewq with GoldenSource for further insight on the convergencr of market and reference please contact at Metia: / For more information on GoldenSource, please visit * "Risk Managementt Drives Cross-Enterprise Data Connections", January 2009

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