Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA

This thesis is submitted in a partial fulfillment of the requirements for the degree of Masters of Science in Applied Economics, 2019.

Opis bibliograficzny
1. autor: Chakraborty, Pranjal
Kolejni autorzy: Khan, Wasiqur Rahman
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2019
Hasła przedmiotowe:
Long short-term memory
Autoregressive integrated moving average
Econometrics
Data mining
Deep learning
Neural network
Machine learning
Dhaka Stock Exchange
Capital market
Artificial intelligence
Marketing
Dostęp online:http://hdl.handle.net/10361/12335

Internet

http://hdl.handle.net/10361/12335

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