Effect of Weather on Cryptocurrency Index: Evidences From Coinbase Index

Abstract

This study proposes to investigate the dynamic relationships between the three weather factors (temperature, humidity, and wind speed) in New York City of USA and Coinbase Index from Federal Reserve Bank of St. Louis, in the USA. Statistical tools like Descriptive Statistics, Unit Root, Granger Causality Test and Johansen Co-Integration test were employed. This study clearly found that the temperature influenced the investors’ mood and their investment decision in respect of Cryptocurrency index (Coinbase Index) and also found that there was long run equilibrium between the sample variables during the study period. The results of study provided strong evidence against the Efficient Market Hypothesis (EMH).

GARCH Generated Volatility Indices of Bitcoin and CRIX

“…In order to determine the effect weather has on the cryptocurrency market, Kathiravan et al (2019) made use of a GARCH(1,1) model, Johansen cointegration, and a Granger causality test. The Coinbase index was used as a proxy for the cryptocurrency market in this study.…”