Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA (SpringerBriefs in Computational Intelligence)

Silva, Antonio Daniel; Neves, Rui Ferreira; Horta, Nuno

ISBN 10: 3319293907 ISBN 13: 9783319293905

Editorial: Springer, 2016

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This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial ratios and technical indicators with a Multi-Objective Evolutionary Algorithms to choose the portfolio composition with two objectives the return and the risk. Two different chromosomes are used for representing different investment models with real constraints equivalents to the ones faced by managers of mutual funds, hedge funds, and pension funds. To validate the present solution two case studies are presented for the SP&500 for the period June 2010 until end of 2012. The simulations demonstrates that stock selection based on financial ratios is a combination that can be used to choose the best companies in operational terms, obtaining returns above the market average with low variances in their returns. In this case the optimizer found stocks with high return on investment in a conjunction with high rate of growth of the net income and a high profit margin. To obtain stocks with high valuation potential it is necessary to choose companies with a lower or average market capitalization, low PER, high rates of revenue growth and high operating leverage

Acerca del autor: Charlotte y Peter Fiell son dos autoridades en historia, teor�a y cr�tica del dise�o y han escrito m�s de sesenta libros sobre la materia, muchos de los cuales se han convertido en �xitos de ventas. Tambi�n han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Dise�o del siglo XX, El dise�o industrial de la A a la Z, Scandinavian Design y Dise�o del siglo XXI.

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T�tulo: Portfolio Optimization Using Fundamental ...
Editorial: Springer
A�o de publicaci�n: 2016
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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA

Antonio Daniel Silva|Rui Ferreira Neves|Nuno Horta

Publicado por Springer International Publishing, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proposes a multi-objective GA to efficiently manage a stock portfolioPresents results of Evolutionary Computation applied to Computational FinanceProposes a multi-objective GA to efficiently manage a stock portfolioPresents resul. N� de ref. del art�culo: 109507289

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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA (SpringerBriefs in Computational Intelligence)

Silva, Antonio Daniel; Neves, Rui Ferreira; Horta, Nuno

Publicado por Springer, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Portfolio Optimization Using Fundamental Indicators Based on Multi-objective Ea

Silva, Ant�nio Daniel; Neves, Rui Ferreira; Horta, Nuno

Publicado por Springer, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA

Antonio Daniel Silva

Publicado por Springer International Publishing, Springer International Publishing Feb 2016, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Taschenbuch. Condici�n: Neu. Neuware -This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial ratios and technical indicators with a Multi-Objective Evolutionary Algorithms to choose the portfolio composition with two objectives the return and the risk. Two different chromosomes are used for representing different investment models with real constraints equivalents to the ones faced by managers of mutual funds, hedge funds, and pension funds. To validate the present solution two case studies are presented for the SP&500 for the period June 2010 until end of 2012. The simulations demonstrates that stock selection based on financial ratios is a combination that can be used to choose the best companies in operational terms, obtaining returns above the market average with low variances in their returns. In this case the optimizer found stocks with high return on investment in a conjunction with high rate of growth of the net income and a high profit margin. To obtain stocks with high valuation potential it is necessary to choose companies with a lower or average market capitalization, low PER, high rates of revenue growth and high operating leverageSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch. N� de ref. del art�culo: 9783319293905

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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA

Antonio Daniel Silva

Publicado por Springer International Publishing, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial ratios and technical indicators with a Multi-Objective Evolutionary Algorithms to choose the portfolio composition with two objectives the return and the risk. Two different chromosomes are used for representing different investment models with real constraints equivalents to the ones faced by managers of mutual funds, hedge funds, and pension funds. To validate the present solution two case studies are presented for the SP&500 for the period June 2010 until end of 2012. The simulations demonstrates that stock selection based on financial ratios is a combination that can be used to choose the best companies in operational terms, obtaining returns above the market average with low variances in their returns. In this case the optimizer found stocks with high return on investment in a conjunction with high rate of growth of the net income and a high profit margin. To obtain stocks with high valuation potential it is necessary to choose companies with a lower or average market capitalization, low PER, high rates of revenue growth and high operating leverage. N� de ref. del art�culo: 9783319293905

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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA

Antonio Daniel Silva

Publicado por Springer International Publishing Feb 2016, 2016

ISBN 10: 3319293907 ISBN 13: 9783319293905

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial ratios and technical indicators with a Multi-Objective Evolutionary Algorithms to choose the portfolio composition with two objectives the return and the risk. Two different chromosomes are used for representing different investment models with real constraints equivalents to the ones faced by managers of mutual funds, hedge funds, and pension funds. To validate the present solution two case studies are presented for the SP&500 for the period June 2010 until end of 2012. The simulations demonstrates that stock selection based on financial ratios is a combination that can be used to choose the best companies in operational terms, obtaining returns above the market average with low variances in their returns. In this case the optimizer found stocks with high return on investment in a conjunction with high rate of growth of the net income and a high profit margin. To obtain stocks with high valuation potential it is necessary to choose companies with a lower or average market capitalization, low PER, high rates of revenue growth and high operating leverage 116 pp. Englisch. N� de ref. del art�culo: 9783319293905

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