Deep networks for predicting direction of change in foreign exchange rates-Reference-Cited by-同舟云学术

Deep networks for predicting direction of change in foreign exchange rates

Published:2017-03-19 Issue:4 Volume:24 Page:100-110
ISSN:1055-615X
Container-title:Intelligent Systems in Accounting, Finance and Management
language:en
Short-container-title:Intell Sys Acc Fin Mgmt

Author:

Galeshchuk Svitlana¹,Mukherjee Sumitra¹^ORCID

Affiliation:

1. College of Engineering and Computing; Nova Southeastern University; Fort Lauderdale Florida USA

Funder

Fulbright Faculty Development Program

Publisher

Wiley

Subject

Finance,General Business, Management and Accounting

Reference36 articles.

1. BIS 2013 Triennial Central Bank Survey. Foreign Exchange Turnover in April 2013: Preliminary Global Results http://www.bis.org/publ/rpfx13fx.pdf

2. Busseti , E. Osband , I. Wong , S 2012 Deep learning for time series modeling http://cs229.stanford.edu/proj2012/BussetiOsbandWong-Deep Learning For Time Series Modeling.pdf

3. Chao , J. Shen , F. Zhao , J 2011 Forecasting exchange rate with deep belief networks The 2011 International Joint Conference on Neural Networks 1259 1266

4. Exchange rate expectations and monetary policy;Dornbusch;Journal of International Economics,1976

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