Bitcoin versus S&P 500 Index: Return and Risk Analysis
A.H. Nzokem

TL;DR
This paper compares the return distributions and risk profiles of Bitcoin and the S&P 500 index using advanced statistical modeling, revealing Bitcoin's heavy tails and higher risk levels compared to the S&P 500.
Contribution
It introduces a novel application of the General Tempered Stable distribution with FRFT to analyze cryptocurrency and stock index returns, highlighting their distributional differences.
Findings
Bitcoin exhibits heavy-tailed return distribution.
S&P 500 returns are more peaked and less extreme.
Bitcoin's average VaR is four times higher than S&P 500.
Abstract
The S&P 500 index is considered the most popular trading instrument in financial markets. With the rise of cryptocurrencies over the past years, Bitcoin has also grown in popularity and adoption. The paper aims to analyze the daily return distribution of the Bitcoin and S&P 500 index and assess their tail probabilities through two financial risk measures. As a methodology, We use Bitcoin and S&P 500 Index daily return data to fit The seven-parameter General Tempered Stable (GTS) distribution using the advanced Fast Fractional Fourier transform (FRFT) scheme developed by combining the Fast Fractional Fourier (FRFT) algorithm and the 12-point rule Composite Newton-Cotes Quadrature. The findings show that peakedness is the main characteristic of the S&P 500 return distribution, whereas heavy-tailedness is the main characteristic of the Bitcoin return distribution. The GTS distribution…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Stochastic processes and financial applications · Financial Risk and Volatility Modeling
MethodsGoal-Driven Tree-Structured Neural Model
