Genetic Algorithms and Investment Strategies: A Global Perspective

Authors

Ivelina Pavlova, Florida International UniversityFollow

Document Type

Dissertation

Major/Program

Finance

First Advisor's Name

Ali M. Parhizgari

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Arun J. Prakash

Second Advisor's Committee Title

Committee Member

Third Advisor's Name

Chun-Hao Chang

Third Advisor's Committee Title

Committee Member

Fourth Advisor's Name

Juan I. Sanchez

Fourth Advisor's Committee Title

Committee Member

Keywords

genetic algorithms, momentum strategies, global investments

Date of Defense

7-21-2008

Abstract

The profitability of momentum portfolios in the equity markets is derived from the continuation of stock returns over medium time horizons. The empirical evidence of momentum, however, is significantly different across markets around the world. The purpose of this dissertation is to: 1) help global investors determine the optimal selection and holding periods for momentum portfolios, 2) evaluate the profitability of the optimized momentum portfolios in different time periods and market states, 3) assess the investment strategy profits after considering transaction costs, and 4) interpret momentum returns within the framework of prior studies on investors’ behavior. Improving on the traditional practice of selecting arbitrary selection and holding periods, a genetic algorithm (GA) is employed. The GA performs a thorough and structured search to capture the return continuations and reversals patterns of momentum portfolios. Three portfolio formation methods are used: price momentum, earnings momentum, and earnings and price momentum and a non-linear optimization procedure (GA). The focus is on common equity of the U.S. and a select number of countries, including Australia, France, Germany, Japan, the Netherlands, Sweden, Switzerland and the United Kingdom. The findings suggest that the evolutionary algorithm increases the annualized profits of the U.S. momentum portfolios. However, the difference in mean returns is statistically significant only in certain cases. In addition, after considering transaction costs, both price and earnings and price momentum portfolios do not appear to generate abnormal returns. Positive risk-adjusted returns net of trading costs are documented solely during “up” markets for a portfolio long in prior winners only. The results on the international momentum effects indicate that the GA improves the momentum returns by 2 to 5% on an annual basis. In addition, the relation between momentum returns and exchange rate appreciation/depreciation is examined. The currency appreciation does not appear to influence significantly momentum profits. Further, the influence of the market state on momentum returns is not uniform across the countries considered. The implications of the above findings are discussed with a focus on the practical aspects of momentum investing, both in the U.S. and globally.

Identifier

FI08121911

Recommended Citation

Pavlova, Ivelina, "Genetic Algorithms and Investment Strategies: A Global Perspective" (2008). FIU Electronic Theses and Dissertations. 70.
https://digitalcommons.fiu.edu/etd/70