Statistical learning and exchange rate forecasting-Reference-Cited by-同舟云学术

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Statistical learning and exchange rate forecasting

Published:2020-10 Issue:4 Volume:36 Page:1260-1289
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Colombo Emilio,Pelagatti Matteo

Publisher

Elsevier BV

Subject

Business and International Management

Reference49 articles.

1. Fundamentals and exchange rate forecastability with simple machine learning methods;Amat,2018

2. The impact of machine learning on economics;Athey,2018

3. The specification and influence of asset markets;Branson,1985

4. Random forests;Breiman;Machine Learning,2001

5. LIBSVM – A library for support vector machines;Chang,2019

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1. Hybrid Algorithm for Real-Time Data Forecasting with Density-Based Clustering and Penalty Splines;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

2. Economic system forecasting based on temporal fusion transformers: Multi-dimensional evaluation and cross-model comparative analysis;Neurocomputing;2023-10

3. Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience;Humanities and Social Sciences Communications;2023-06-26

4. A novel framework for direct multistep prediction in complex systems;Nonlinear Dynamics;2023-03-04

5. Foreign exchange trading and management with the stochastic dual dynamic programming method;Financial Innovation;2023-01-11

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