SOM and Technical Indicators Based Hybrid Model Gives Better Returns on Investments as Compared to BSE-30 Index

Author

Khan, Asif Ullah ; Bandopadhyaya, T.K. ; Sharma, Sudhir

Author_Institution

Dept. of Comput. Sc. & Eng., All Saints Coll. of Technol., Bhopal, India

fYear

2010

fDate

9-10 Jan. 2010

Firstpage

544

Lastpage

547

Abstract

Selection of stocks that are suitable for investment is a complex task. The main aim of every investor is to earn maximum possible returns on investments. There are many conventional techniques being used and these include technical and fundamental analysis. The main issue with any approach is the proper weighting of criteria to obtain a list of stocks that are suitable for investments. This paper proposes an improved method for stock picking using self-organizing maps and technical analysis. The stock selected using this method outperformed the BSE-30 Index by about 28.41% based on one month of stock data.

Keywords

investment; self-organising feature maps; stock markets; BSE-30 index; returns on investments; self-organizing map; stock picking; stock selection; technical analysis; Cost accounting; Data analysis; Data mining; Economic forecasting; Educational institutions; Environmental economics; Investments; Performance analysis; Self organizing feature maps; Stock markets; Fundamental Analysis; Neural Network; Self-Organizing Map (SOM); Stocks Classification; Technical Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Conference_Location

Phuket

Print_ISBN

978-1-4244-5397-9

Electronic_ISBN

978-1-4244-5398-6

Type

conf

DOI

10.1109/WKDD.2010.20

Filename

5432496