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INTRODUCTION<br />

Life on the Leading Edge<br />

Prior to founding Jacobs Levy Equity Management in 1986, we<br />

had spent 5 years managing U.S. equity portfolios at the asset management<br />

arm of Prudential Insurance Company of America. Experience<br />

and intuition had led us to believe that new and emerging<br />

technologies could be used to detect profitable investment opportunities<br />

and to exploit them for the benefit of institutional clients.<br />

Our seminal insight was that U.S. equity market retums were .<br />

driven by complex combinations of company fundamentals, macroeconomic<br />

conditions, and psychological factors. That is, security<br />

prices respond to fundamentals, such as return on equity, and to the<br />

economic backdrop, including inflation and interest rates; but the<br />

also respond to behavioral elements such as investors' tendencies to<br />

overreact to news and events. As a result, the market is permeated<br />

by a complex web of interrelated return effects. We believed de- that<br />

tecting and exploiting these inefficiencies could lead to profitable<br />

opportunities for investment.<br />

We devoted the first 3 years of our new firm to developing the<br />

tools needed to find and exploit these opportunities. We started by<br />

modeling a broad universe of U.S. stocks, combining our leadingedge<br />

financial research and intuition with best the available statistical<br />

and computer technology to build a system capable of analyzing<br />

numerous stock-specific, industry-related, market-related, and<br />

macroeconomic forces. The variables chosen for modeling had to<br />

capture both the concrete, fundamental characteristics of stocks and<br />

markets and their more abstract behavioral characteristics; the<br />

modeling process itself had to capture both differences across different<br />

types of stocks and evolutions over time.<br />

We were the first to analyze these numerous inefficiencies in a<br />

multivariate framework, pioneering a proprietary process of "disentangling"<br />

return-predictor relationships. Disentangling dows us to<br />

examine the effect on return of individual attributes"small market<br />

capitalization, for examp1e"controlling for the impact of other attrib<br />

1

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