APLIKASI MODEL ARTIFICIAL NEURAL NETWORKS UNTUK STOCK FORECASTING DI PASAR MODAL INDONESIA

Christian Herdinata

Abstract


This research showed the applicat ion of model Art if icial Neural Networks (ANN) orJaringan Syaraf Tiruan (JST) at the f ield of monetary science, especially for the applicat ion off inancial forecast ing. ANN or JST was a new alternat ive for the applicat ion of f inancialforecast ing.The purpose of this research was to know whether the stock index instantaneouslyand fully ref lect historical informat ion, in Indonesia Stock Exchange (IDX). The research usedcomparison between return of technical t rading rule based Art if icial Neural Networks (ANN)model and return of buy & hold st rategy. The result showed that the weakness form ofef f icient market hypothesis was rejected in the Indonesian capital market . Expectat ion ofthis research was giving informat ion and securing the market perpet rators that st ill enabledto get abnormal of return by doing commerce in chnical through forecast ing of model Art ificial Neural Networks (ANN) or Jaringan Syaraf Tiruan ( JST).

Keywords


Artificial Neural Networks (ANN), Buy & Hold St rategy, Technical Trading Rule, Efficient Market Hypothesis

Full Text:

pdf


DOI: https://doi.org/10.26905/jkdp.v14i1.945

Refbacks

  • There are currently no refbacks.




Jurnal Keuangan dan Perbankan (Journal of Finance and Banking)

Diploma Program of Banking and Finance, Faculty of Economics and Business, University of Merdeka Malang

Published by University of Merdeka Malang

Mailing Address:
2nd floor Finance and Banking Building, Jl. Terusan Raya Dieng No. 57 Malang, East Java, Indonesia
Phone: -
Email: [email protected]

This work is licensed under a Creative
Commons Attribution-ShareAlike 4.0