
TL;DR
This paper investigates Bitcoin's role in currency exchange rate discrepancies by analyzing peer-to-peer market data, revealing how economic factors and capital transfer frictions influence Bitcoin premiums and their predictive power for exchange rate movements.
Contribution
It introduces shadow exchange rates derived from Bitcoin prices and analyzes their determinants, highlighting differences between P2P and centralized markets and the predictive capacity of Bitcoin premiums.
Findings
BTC premiums are higher for currencies with capital controls.
Microstructure of blockchain does not affect BTC premiums in P2P markets.
BTC premiums can predict future exchange rate depreciation.
Abstract
This research expands the existing literature on Bitcoin (BTC) price misalignments by incorporating transaction-level data from a peer-to-peer (P2P) exchange, LocalBitcoins.com (LB). It examines how broader economic and regulatory factors influence cryptocurrency markets and highlights the role of cryptocurrencies in facilitating international capital movements. By constructing shadow exchange rates (SERs) for national currencies against the US dollar based on BTC prices, we calculate discrepancies between these SERs and their official exchange rates (OERs), referred to as BTC premiums. We analyze various factors driving the BTC premiums on LB, including those sourced from the BTC blockchain, mainstream centralized BTC exchanges, and international capital transfer channels. Unlike in centralized markets, our results indicate that the microstructure of the BTC blockchain does not…
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
TopicsMarket Dynamics and Volatility
