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

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