A comparative study on the effectiveness of artificial neural networks and multiple regression in predicting selected stock prices and price movements from the Philippine Stock Exchange
Date of Publication
1996
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Commerce Major in Management of Financial Institutions
College
Ramon V. Del Rosario College of Business
Department/Unit
Financial Management
Abstract Format
html
Language
English
Format
Accession Number
TU07288
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
68 numb. leaves
Keywords
Stocks--Prices; Neural networks (Computer science); Regression analysis; Stock-exchange
Recommended Citation
Almonte, C. S., Ledesma, D. M., Liu, A. C., & Posadas, M. F. (1996). A comparative study on the effectiveness of artificial neural networks and multiple regression in predicting selected stock prices and price movements from the Philippine Stock Exchange. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/16269
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