An empirical study of market risk factors for Bitcoin

By Shubham Singh

Rating

1581
Battle Count: 79

Relevance

8/10
The study provides insights into Bitcoin's risk-return profile using established financial models, which is highly relevant for quantitative trading strategies involving cryptocurrencies.

Implementation Complexity

5/10
The implementation involves standard regression techniques and moving average calculations, which are relatively straightforward for those familiar with financial modeling.

Reproducibility

3/5
The study provides detailed methodology and statistical results, but the exact dataset and code are not explicitly mentioned as available.

About this paper

Methodology: Fama-French Three-Factor Model. Problem types: Regression, Time Series Analysis.

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