Elementary Bitcoin economics: from production and transaction demand to values
Misha Perepelitsa

TL;DR
This paper provides an elementary economic analysis of Bitcoin, examining how transaction demand and miner supply influence its price, and argues that Bitcoin's value is driven by speculation rather than fundamental economic factors.
Contribution
It introduces a simple model linking Bitcoin's transaction demand and miner supply, and argues that its price is not determined by market fundamentals but by demand and speculation.
Findings
Decreasing block rewards have little impact on Bitcoin's exchange rate.
Bitcoin's price is primarily driven by demand for hoarding and speculation.
Increasing transaction fees may lead to competition from Ethereum.
Abstract
In this paper we give an elementary analysis of economics of Bitcoin that combines the transaction demand by the consumers and the supply of hashrate by miners. We argue that the decreasing block reward will have no significant effect on the exchange rate (price) of Bitcoin and thus the network will be transitioning to a regime where transaction fees will play a bigger part of miners' revenue. We consider a simple model where consumers demand bitcoins for transactions, but not for hoarding bitcoins, and we analyze market equilibrium where the demand is matched with the hashrate supplied by miners. Our main conclusion is that the exchange rate of Bitcoin cannot be determined from the market equilibrium and so our arguments support the hypothesis that Bitcoin price has no economic fundamentals and is free to fluctuate according to the present demand for hoarding and speculation. We point…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Economic theories and models · Complex Systems and Time Series Analysis
