Applications of hybrid neural networks and genetic programming in financial forecasting
This thesis explores the utility of computational intelligent techniques and aims to contribute to the growing literature of hybrid neural networks and genetic programming applications in financial forecasting. The theoretical background and the description of the forecasting techniques are given in...
Main Author: | Stasinakis, Charalampos |
---|---|
Published: |
University of Glasgow
2013
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591971 |
Similar Items
-
Essays on information asymmetry and financial institutions
by: Costa Neto, Nelson
Published: (2012) -
An empirical analysis of financial optimism and portfolio choice
by: Balasuriya, Jiayi Wang
Published: (2012) -
The competitive implications of intra-industry diversification, the firm-investor network, and resource acquisition across the firm boundary : evidence from the hedge fund industry
by: Kastl, E.
Published: (2014) -
Essays on acquisition investments from emerging to developed markets
by: Ho, Hai Hong
Published: (2013) -
Contributions to solvency risk measurement
by: Bignozzi, Valeria
Published: (2012)