Bitcoin Poison? Anecdotal Evidence from Bitcoin Miners Revenue

David Spohn*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper explores the predictive qualities of Bitcoin Miners Revenue on Bitcoin Returns. Using data on Bitcoin in the cryptocurrency market from July 1, 2010 to February 20, 2018, we reflect intervariable correlations not previously examined. We analyze those relationships with a conditional regression analysis adjusting for calendar effects. We separate the sample, and use the last 17 trading days (month) to test a strategy based on the probability of Bitcoin Returns moving higher. After a slight modification to the logistic regression analysis, we find a profitable trading strategy exists based solely on Bitcoin Miners Revenue and the probability of Bitcoin Returns moving higher.
Original languageAmerican English
Pages (from-to)150-159
Number of pages10
JournalApplied Economics and Finance
Volume5
Issue number4
Early online dateJun 26 2018
DOIs
StatePublished - Jul 2018
Externally publishedYes

Cite this