Prediction of high increases in stock prices using neural networks

Title:

Prediction of high increases in stock prices using neural networks

Creator:

Michalak , Krzysztof and Lipinski , Piotr

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:b6dd9ff8-8b07-4505-ab64-3004b670122d
uuid:b6dd9ff8-8b07-4505-ab64-3004b670122d

Subject:

Neural networks, multi-layer perceptron, financial forecasting, and stock market prediction

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper addresses the problem of stock market data prediction. It discusses the abilities of neural networks to learn and to forecast price quotations as well as proposes a neural approach to the future stock price prediction and detection of high increases or high decreases in stock prices. In order to validate the approach, a large number of experiments were performed on real-life data from the Warsaw Stock Exchange.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2005 Volume:15 | Number:4

Harvested from:

CDK

Metadata only:

false