Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective ...

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Beschreibung

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

Proposes a multi-objective GA to efficiently manage a stock portfolio

Presents results of Evolutionary Computation applied to Computational Finance



Inhalt
Introduction.- Literature Review.- System Architecture.- Multi-Objective optimization.- Simulations in single and multi-objective optimization.- Outlook.

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Produktinformationen

Titel
Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective ...
Autor
EAN
9783319293905
ISBN
3319293907
Format
Kartonierter Einband
Herausgeber
Springer International Publishing
Genre
Allgemeines & Lexika
Anzahl Seiten
116
Gewicht
189g
Größe
H235mm x B155mm x T6mm
Jahr
2016
Untertitel
Englisch
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