Genetic Algorithms

Definition:

Models that optimize rules by mimicking the Darwinian Law of survival of the fittest. A set of rules is chosen from those that work the best. The weakest are discarded. In addition, two successful rules can be combined (the equivalent to genetic cross-overs) to produce offspring rules. The offspring can replace the parents, or they will be discarded if less successful than the parents. Mutation is also accomplished by randomly changing elements. Mutation and cross-over occur with low probability, as in nature.

Investing Essentials


Copyright © 2011 Campbell R. Harvey, Professor of Finance, Fuqua School of Business at Duke University

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Distressed securities

A security of a firm that has declared or is about to declare bankruptcy. In the context of hedge funds, a style of management that focuses on securities of companies that have declared bankruptcy... Read More

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