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Welcome to Quantitative Management Associates Quantitative Management Associates (QMA) combines analytical discipline and seasoned judgment to deliver customized investment solutions. QMA manages $70 billion* in domestic and international assets across a broad range of strategies for:
  • domestic and international corporate clients
  • public pension plans
  • mutual funds
  • endowments and foundations
  • multi-employer pension plans
QMA identifies investment opportunities by blending the output from quantitative models with the seasoned judgment of 34 investment professionals (including 8 PhD’s)** averaging 19 years of experience.

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* $70 billion as of 12/31/09.
Market Reviews & Outlook
Market Environment
After four straight quarters of negative growth, U.S. real GDP turned positive (+2.2%) in 3Q09, fueled by consumer and government spending and inventory restocking. But with the economy just emerging from the deepest-ever post-war recession, pricing pressures remain well contained, which should keep interest rates very low as the economy heals. Recent economic indicators have surpassed expectations, prompting economists to increase average 4Q09 real GDP forecasts to the 4% range, about double the average estimates of last August. The Consensus mean forecasts for 2009 and 2010 call for -2.5% and +2.7% real GDP growth and -0.4% and +2.1% CPI inflation, respectively.
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Economic and Market Outlook
As 2009 unwound, the massive improvement in financial conditions fed back on the real economy and green shoots blossomed into a recovery that looks increasingly sustainable. The strength of the economy remains a key source of uncertainty, however. Looking forward to 2010, the macro environment still looks pretty positive, but the valuation starting point is not nearly as attractive. Hence we think the returns on risk assets will again beat the returns on safe assets but the level of return and the margin of outperformance should be considerably more modest.
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Spotlight
Why Have Estimate Revision Measures not Worked in Recent Years
(Journal of Portfolio Management, Spring 2008)
An alpha indicator can lose its efficacy if too many investors use it in their trading decisions. Thus, a robust alpha factor model should consider how much of the information in a signal may already be reflected in stock prices.

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