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.

Bibliographische Detailangaben
1. Verfasser: Chakraborty, Pranjal
Weitere Verfasser: Khan, Wasiqur Rahman
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2019
Schlagworte:
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
Online Zugang:http://hdl.handle.net/10361/12335

Online

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

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