Search arXivSearch

arXiv · 2410.22443

What Do Bitcoin Premiums Measure? Evidence from Global P2P Markets

Abstract

This paper studies what Bitcoin (BTC) premiums in peer-to-peer (P2P) markets measure. Using transaction-level data from LocalBitcoins, we construct BTC premiums for 80 currencies relative to the U.S. dollar and relate them to blockchain transaction conditions, centralized crypto market (CEX) conditions, cross-border payment frictions, and foreign exchange (FX) markets. We show that these premiums reflect both trading frictions within crypto markets and local frictions in access to cross-border payments. They vary systematically with blockchain conditions and broader crypto market conditions, including BTC returns and volatility, and they are larger in countries facing greater frictions in conventional cross-border payment channels. This pattern is especially pronounced in economies with binding institutional constraints, i.e., tight capital controls and non-floating exchange-rate regimes, consistent with greater reliance on P2P crypto markets as an alternative cross-border payment channel. We further show that rising FX pressure is absorbed mainly through prices rather than trading volumes, and that P2P BTC premiums predict subsequent official exchange rate depreciation. Although premium levels differ across countries, their predictive content remains broadly similar. Overall, P2P BTC premiums reflect limits to arbitrage across crypto trading venues, especially where formal cross-border payment channels are more constrained, and they also embed forward-looking information about currency depreciation.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yanan Niu. 2026-05-22. What Do Bitcoin Premiums Measure? Evidence from Global P2P Markets. https://arxiv.org/abs/2410.22443

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

The time interpretation of expected utility theory

Economic models often maximise expectation values of wealth or utility. In non-ergodic settings, these can differ from time-averages, so that maximising expected outcomes need not maximise – and can systematically reduce – long-run wealth or utility. Ergodicity economics highlights this problem and models individual agents as maximising wealth in the long run, known as growth optimality. Two instances where expected utility maximisation maps to growth optimality are known: linear utility does this for additive wealth dynamics; and logarithmic utility for multiplicative wealth dynamics. Here we show that the mapping holds more generally when the utility function coincides with the ergodicity transformation in the growth optimal model. This mapping offers a theoretical basis for choosing utility functions and suggests the testable hypothesis that wealth dynamics are predictive of risk preferences.

econ.GN

Monetary Regimes and Trade before the Classical Gold Standard: Evidence from the Latin Monetary Union

This paper reexamines the trade effects of the Latin Monetary Union (LMU), a 19th century agreement to standardize gold and silver coinage among several European countries. The LMU provides a useful setting for studying whether monetary arrangements fostered trade before the classical gold standard, when gold, silver, bimetallic, and paper regimes coexisted. Because some countries already shared other monetary standards, treating all non-member pairs as a single control group mixes pairs with and without alternative forms of monetary coordination. I classify pairs by standard and estimate the LMU effect relative to pairs without a common standard, bringing the comparison closer to those used in the literature on the gold standard and contemporary currency unions. The results suggest that the LMU increased trade between its members by approximately 30\% during its early years, when bimetallism was still credible. These effects subsequently faded, converging to zero by the end of the 1870s. More broadly, these findings also highlight the importance of accounting for the existing monetary regimes when estimating the trade effects of other international policies.

econ.GN

Access to Live AI Advice and Behavior Under Risk: An Incentivized Experiment

Generative AI has become an everyday advisor, and the systems people consult are live and interactive, not pre-scripted. We ask whether access to such a system changes behavior under risk. In an incentivized experiment (N = 158), participants made lottery choices with an optional decision aid presented as a conventional pre-written tool, a live one-shot AI, or a live interactive AI they could query, with information format held equivalent across conditions. Risk preferences are elicited via DOSE. We find no evidence that access to a live AI advisor changes risk aversion.

econ.GN