Description: Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA by Antonio Daniel Silva, Rui Ferreira Neves, Nuno Horta Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 Publisher Description 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 Details ISBN 3319293907 ISBN-13 9783319293905 Title Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA Author Antonio Daniel Silva, Rui Ferreira Neves, Nuno Horta Format Paperback Year 2016 Pages 95 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:137657155; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 68.31 USD
Location: Fairfield, Ohio
End Time: 2024-11-18T03:23:51.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783319293905
Book Title: Portfolio Optimization Using Fundamental Indicators Based on Mult
Number of Pages: Xvii, 95 Pages
Language: English
Publication Name: Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective Ea
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Programming / Algorithms, Investments & Securities / Portfolio Management, Intelligence (Ai) & Semantics
Publication Year: 2016
Item Weight: 66.4 Oz
Type: Textbook
Author: Rui Ferreira Neves, Nuno Horta, Antonio Daniel Silva
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering, Business & Economics
Item Width: 6.1 in
Series: Springerbriefs in Applied Sciences and Technology Ser.
Format: Trade Paperback
