Soft Computing as A Tool to Optimize an Investment Portfolio
##plugins.themes.bootstrap3.article.main##
Abstract
The paper describes the creation and application of an investment portfolio. Main aim of the paper is to perform statistical analysis of selected financial instruments and to find a connection between the input data. Authors use application Adaptrade from the Adaptrade software company which is based on genetic algorithms basis and is able to process this difficult task in real time. The case analysis is performed for three world currencies—U. S. dollar, Canadian dollar and Swiss franc. Statistical analysis was performed specifically on the currency couple USD: CAD and USD:CHF. The input data consists of time series, which records the progress of prices of the financial instruments with a period of 15 minutes continuously from Monday 00:00 to Friday 23:00 for the period 2.1.2009 – 14.3.2011. JEL classification: C61, G11. Keywords: Optimization, soft computing, Adaptrade, genetic algorithms, investment portfolio.
##plugins.themes.bootstrap3.article.details##
Section
Articles
Authors contributing to Intellectual Economics agree to publish their articles under a Creative Commons Attribution-NoDerivatives 4.0 International Public (CC BY-NC-ND) License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, and that in the event of reuse or distribution, the terms of this licence are made clear.
