Forecasting stock returns using variable selections with genetic algorithm and artificial neural-networks

Modeling stock returns requires selections of appropriate input variables. For an Artificial Neural Network, the appropriate input variables have both linear and nonlinear functional relationship with stock returns as output variables. To capture the non-linear relationships, we propose Weierstrass...

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Bibliographic Details
Main Authors: Prisadarng Skolpadungket, Keshav Dahal, Napat Harnpornchai
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77749286297&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/59497
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Institution: Chiang Mai University
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