Stock Market Forecasting Model Based on AR(1) with Adjusted Triangular Fuzzy Number Using Standard Deviation Approach for ASEAN Countries-Reference-Cited by-同舟云学术

Stock Market Forecasting Model Based on AR(1) with Adjusted Triangular Fuzzy Number Using Standard Deviation Approach for ASEAN Countries

Published:2019 Issue: Volume: Page:103-114
ISSN:2367-3370
Container-title:Intelligent and Interactive Computing
language:
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Author:

Lah Muhammad Shukri Che,Arbaiy Nureize,Efendi Riswan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-6031-2_22

Reference25 articles.

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2. Grunwald GK, Hyndman RJ, Tedesco LM (1996) A unified view of linear AR(1) models, pp 1–26

3. Lauren S, Harlili S (2015) Stock trend prediction using simple moving average supported by news classification. In: Proceeding—2014 International conference of advanced informatics: concept, theory and application, ICAICTA 2014, no 1, pp 135–139

4. Sirohi AK, Mahato PK, Attar V (2014) Multiple Kernel learning for stock price direction prediction. In: 2014 International conference on advances in engineering and technology research, ICAETR 2014, pp 2–5

5. Kaya M (2010) Stock price prediction using financial news articles. In: 2010 2nd IEEE international conference on information and financial engineering, ICIFE, pp 478–482

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