Improving the Performance of Long Short Term Memory and Gated Recurrent Unit for Predicting the Composite Stock Price Index
Author:
Affiliation:
1. Informatics Diponegoro University,Semarang,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10636850/10636819/10636924.pdf?arnumber=10636924
Reference15 articles.
1. WHAT DRIVES RETAIL INVESTORS’ INVESTMENT DECISIONS? EVIDENCE FROM NO MOBILE PHONE PHOBIA (NOMOPHOBIA) AND INVESTOR FEAR OF MISSING OUT (I – FOMO)
2. Modeling of composite stock price index (CSPI) using semiparametric regression truncated spline based on GUI R
3. Modeling stock prices in a portfolio using multidimensional geometric brownian motion
4. ASEAN-5 Stock Price Index Valuation after COVID-19 Outbreak through GBM-MCS and VaR-SDPP Methods
5. An LSTM and GRU based trading strategy adapted to the Moroccan market
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