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New York Stock Exchange

Ideally, financial decisionmakers allocate societal resources in an efficient manner.

In reality -- as demonstrated by the repeated bursting of market bubbles and sudden implosions of superficially "successful" firms like Enron and Satyam -- many financial actors are short-sighted and self-serving.

ValueQuant uses text mining to identify and quantify "soft" factors -- like short-sighted and self-serving behavior -- that affect financial performance but are overlooked by traditional quant models.

Our ideas derive from value-based theories and are rigorously tested against data.

We enjoy the incredible challenge of "beating" financial markets and hope to improve financial allocation (thus spurring economic performance) and profit from doing so.

Macroeconomic time series graphs (updated automatically nightly)

Brief statistical analysis videos (using Flash)

Omitted Variable Bias

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Parameter Vector Confidence Ellipses

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Education

Experience, Knowledge and Skills

A ValueQuant bookcase

Contact ValueQuant

Email: james "at" valuequant.com

Phone: 203.355.0677

Mail: 41 Minivale Rd, Stamford, CT 06907