Stock Price Prediction using Artificial Neural Networks: Case Study – Karachi Stock Exchange
Stock Price Prediction has always fascinated researchers because it not only involves the satisfaction of ‘beating the market’ but also the financial gains. Research and Market Data have proved that Efficient Market Hypothesis can be wrong. Various techniques have been used to predict stock prices....
Main Authors: | Shams Naveed Zia, Muhammad Zia |
---|---|
Format: | Article |
Language: | English |
Published: |
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2005-12-01
|
Series: | JISR Management and Social Sciences & Economics |
Subjects: | |
Online Access: | https://jisrmsse.szabist.edu.pk/index.php/szabist/article/view/378 |
Similar Items
-
Test Of Capital Asset Pricing Model On Stocks At Karachi Stock Exchange
by: Arbab Khalid Cheema
Published: (2010-12-01) -
An Investigation and Evaluation of Stock Pricing Models in Tehran Stock Exchange (TSE)
by: Omid Pourheidari, Ph.D, et al.
Published: (2010-06-01) -
Accrual Effect on Karachi Stock Exchange
by: Zaheer Abbas Awan, et al.
Published: (2016-06-01) -
Stock exchange commissions; the pricing and marketing of securities,
by: Grieson, Ronald E.
Published: (2011) -
Stock Price Volatility and Role of Dividend Policy: Empirical Evidence from Pakistan
by: Syed Akif Shah, et al.
Published: (2016-04-01)