With the advent of blockchain technology, cryptocurrencies have gained a lot of importance in today’s digital world. As cryptocurrencies have direct and indirect effects on multiple domains, we present statistical analysis to validate the same. These effects being bi-directional and volatile, the analysis becomes intriguing as well as challenging.
We performed analysis on following areas:
- We applied Parametric inference of the cryptocurrency data set to get an idea of the distribution.
- We applied Time-Series analysis for the prices of different cryptocurrencies.
- We studied how Google Searches affected Cryptocurrency prices using Linear Regression.
- Wald’s test and KS test.
- We also applied Multiple Linear Regression to find out which feature of cryptocurrencies was most influenced by the Google Searches.
- We studied how companies producing hardware for mining cryptocurrencies performed with bitcoin prices.
- We applied Multiple Linear Regression for predicting the stock values of these companies.
- We applied Simple Linear regression for the number of bitcoin investors in Greece increased after the crisis of 2015
- Permutation Test
- Wald's test for analyzing increase in ransomware attack with number of bitcoin trasactions
- We applied Bayesian Inference to find the posterior distribution of the data subject to new random data generated from the same distribution.
- Wald's Test
- Permutation Test
- Simple and Multiple Linear regression
- Aditya Yele
- Bhushan Sonawane
- Dhanashri Patil
- Mihir Chakradeo
- Nishant Borude