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
Saved in:
Main Authors: | Almonte, Catherine Kalayaan S., Ledesma, David Michael M., Liu, Alex C., Posadas, Marichu F. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
1996
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/16269 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Modelling stock price behavior through financial ratios: A study on the impact of 1997 Asian financial crisis to the commercial & industrial sector in the Philippine stock exchange (January 1996 - June 2000)
by: Fu, Abigail Jaye A., et al.
Published: (2000) -
The relationship between trading volume and stock price returns in the Philippine stock exchange
by: Alarcon, Denmark C.
Published: (2012) -
Effectiveness of the Philippine Stock Exchange Index (PSEi) as training dataset in forecasting Philippine stock prices using neural networks
by: Sumayo, Noriel Kristine Luzanta, et al.
Published: (2022) -
The effect of disclosure on stock prices of Philippine Stock Exchange industrial sector firms
by: Blanco, Ma. Carmela J., et al.
Published: (2015) -
The impact of dividend policy on share price volatility in the Philippine Stock Exchange, Singapore Exchange, Bursa Malaysia, Indonesia Stock Exchange, and Stock Exchange of Thailand from 2007-2012
by: Fernandez, Ma. Kristina, et al.
Published: (2014)