The Efficient Market Hypothesis for Bitcoin in the context of neural networks

  title={The Efficient Market Hypothesis for Bitcoin in the context of neural networks},
  author={Mike Kraehenbuehl and Joerg Osterrieder},
This study examines the weak form of the efficient market hypothesis for Bitcoin using a feedforward neural network. Due to the increasing popularity of cryptocurrencies in recent years, the question has arisen, as to whether market inefficiencies could be exploited in Bitcoin. Several studies we refer to here discuss this topic in the context of Bitcoin using either statistical tests or machine learning methods, mostly relying exclusively on data from Bitcoin itself. Results regarding market ef… 



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  • A. Sensoy
  • Economics
    Finance Research Letters
  • 2019

The Inefficiency of Bitcoin

Bitcoin has received much attention in the media and by investors in recent years, although there remains scepticism and a lack of understanding of this cryptocurrency. We add to the literature on