Is It Possible to Forecast the Price of Bitcoin?

This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, <i>k</i>-Nearest Neighbo...

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Main Authors: Julien Chevallier, Dominique Guégan, Stéphane Goutte
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Forecasting
Subjects:
Online Access:https://www.mdpi.com/2571-9394/3/2/24
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author Julien Chevallier
Dominique Guégan
Stéphane Goutte
author_facet Julien Chevallier
Dominique Guégan
Stéphane Goutte
author_sort Julien Chevallier
collection DOAJ
description This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, <i>k</i>-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.
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spelling doaj.art-c801baa2dc0f4c2385aacc9b46eec17c2023-11-21T21:47:03ZengMDPI AGForecasting2571-93942021-05-013237742010.3390/forecast3020024Is It Possible to Forecast the Price of Bitcoin?Julien Chevallier0Dominique Guégan1Stéphane Goutte2IPAG Lab, IPAG Business School, 184 Boulevard Saint-Germain, 75006 Paris, FranceApplied Mathematics Department, Université Paris 1 Panthéon-Sorbonne, LabEx ReFi, 106 Boulevard de l’Hopital, CEDEX 13, 75647 Paris, FranceCEMOTEV, UVSQ, Paris-Saclay, 78280 Guyancourt, FranceThis paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, <i>k</i>-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.https://www.mdpi.com/2571-9394/3/2/24forecastingBitcoinmachine learningtrading strategies
spellingShingle Julien Chevallier
Dominique Guégan
Stéphane Goutte
Is It Possible to Forecast the Price of Bitcoin?
Forecasting
forecasting
Bitcoin
machine learning
trading strategies
title Is It Possible to Forecast the Price of Bitcoin?
title_full Is It Possible to Forecast the Price of Bitcoin?
title_fullStr Is It Possible to Forecast the Price of Bitcoin?
title_full_unstemmed Is It Possible to Forecast the Price of Bitcoin?
title_short Is It Possible to Forecast the Price of Bitcoin?
title_sort is it possible to forecast the price of bitcoin
topic forecasting
Bitcoin
machine learning
trading strategies
url https://www.mdpi.com/2571-9394/3/2/24
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