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

@article{Kraehenbuehl2022TheEM,
  title={The Efficient Market Hypothesis for Bitcoin in the context of neural networks},
  author={Mike Kraehenbuehl and Joerg Osterrieder},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.07254}
}
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… 

References

SHOWING 1-10 OF 56 REFERENCES

Bitcoin and market-(in)efficiency: a systematic time series approach

Recently, cryptocurrencies have received substantial attention by investors given their innovative features, simplicity and transparency. We here analyze the increasingly popular Bitcoin and verify

Short-Term Bitcoin Market Prediction via Machine Learning

Bitcoin price prediction using machine learning: An approach to sample dimension engineering

What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis

It is found that the Bitcoin forms a unique asset possessing properties of both a standard financial asset and a speculative one.

Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach

This paper demonstrates high-performance machine learning-based classification and regression models for predicting Bitcoin price movements and prices in short and medium terms, and indicates that the presented models outperform the existing models in the literature.

Predicting bitcoin returns using high-dimensional technical indicators

A Statistical Risk Assessment of Bitcoin and Its Extreme Tail Behaviour

We provide an extreme value analysis of the returns of Bitcoin. A particular focus is on the tail risk characteristics and we will provide an in-depth univariate extreme value analysis. Those

The Inefficiency of Bitcoin Revisited: A Dynamic Approach

The inefficiency of Bitcoin revisited: A high-frequency analysis with alternative currencies

  • 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
...