Identificación de factores de influencia en el precio de las criptomonedas: evidencia para bitcoin y ethereum

• Lamothe Fernández, Prosper ^[1] ; Lamothe López, Prosper ^[3] ; Fernández Gámez, Manuel A. ^[2] ; Fernández Miguélez, Sergio M. ^[2]
  1. [1] Universidad Autónoma de Madrid

     Universidad Autónoma de Madrid

     Madrid, España

     
  2. [2] Universidad de Málaga

     Universidad de Málaga

     Málaga, España

     
  3. [3] Rho Finanzas

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• Localización: Cuadernos económicos de ICE, ISSN 0210-2633, Nº 100, 2020 (Ejemplar dedicado a: GLOBALIZACIÓN Y SOSTENIBILIDAD), págs. 215-233
• Idioma: español
• DOI: 10.32796/cice.2020.100.7126
• Títulos paralelos:
  • Identifying Influencing Factors on Cryptocurrency Price: Evidence for Bitcoin and Ethereum
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• Dialnet Métricas: 1 Cita
• Resumen
  • español

    El presente estudio tiene como objetivo el desarrollo de nuevos modelos para determinar con alta precisión los factores que explican el precio de las principales criptomonedas. Para ello, se ha utilizado una amplia base de datos de variables relacionadas con el bitcoin y el ethereum, y se han aplicado técnicas de redes neuronales artificiales. Los resultados obtenidos han permitido identificar que los aspectos relacionados con el número de publicaciones en foros, el volumen de transacciones en blockchain y la tasa de hash proporcionan una excelente estrategia para predecir el precio del bitcoin. También, que el volumen de transacciones, el tamaño de los bloques, las comisiones de mineros y los precios del petróleo son los mejores predictores del valor de mercado del ethereum

  • English

    The present study aims to develop new models to determine with high precision the factors that explain the price of the main cryptocurrencies. To do this, a large database of variables related to bitcoin and ethereum has been used, and artificial neural network techniques have been applied. The results obtained have made it possible to identify the following factors: the number of posts in social networks, the volume of transactions on blockchain and the hash rate provide an excellent strategy to predict the price of bitcoin. Also, that the volume of transactions, the size of the blocks, the commissions of miners and the prices of oil are the best predictors of the market value of ethereum.

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