Application of Deep Learning Methods to Forecast Changes in Short-Term Exchange Rate Trends
This paper investigates the issues of short-term forecasting of exchange rates using deep learning models, which is relevant for both the academia and traders and investors. The purpose of this study is to build a model to forecast the direction of changes in the price movement of currency quotes ba...
Main Authors: | Vasily Derbentsev, Vitalii Bezkorovainyi, Iryna Luniak |
---|---|
Format: | Article |
Language: | English |
Published: |
Mukachevo State University
2020-12-01
|
Series: | Науковий вісник Мукачівського державного університету. Серія Економіка |
Subjects: | |
Online Access: | https://economics-msu.com.ua/en/journals/tom-7-2-2020/zastosuvannya-metodiv-glibokogo-navchannya-do-prognozuvannya-zmini-korotkostrokovikh-trendiv-valyutnikh-kursiv |
Similar Items
-
BiBitcoin Price Prediction using Recurrent Neural Networks and Long Short-Term Memory
by: Sudhakarana Pradeep, et al.
Published: (2024-01-01) -
Isolated Areas Consumption Short-Term Forecasting Method
by: Guillaume Guerard, et al.
Published: (2021-11-01) -
Short-term Forecast of Hourly Electricity Demand in Iran Using a Forecast Combination Method
by: Seyed Farshad Fatemi Ardestani, et al.
Published: (2020-02-01) -
Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
by: Hongze Li, et al.
Published: (2020-09-01) -
Third Party Participation in Investor-State Arbitration: New Trends in ICSID Rules and UNCITRAL Transparency Rules
by: Ali Moghadam Abrishami, et al.
Published: (2017-08-01)