Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 86 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 22 tok/s Pro
GPT-4o 73 tok/s Pro
Kimi K2 206 tok/s Pro
GPT OSS 120B 469 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Bitcoin and Shadow Exchange Rates (2410.22443v1)

Published 29 Oct 2024 in econ.GN and q-fin.EC

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 correlate with BTC premiums in the P2P market. Regarding frictions from international capital transfers, we interpret remittance costs as indicators of inefficiencies in traditional capital transfer systems. For constrained currencies subject to severe capital controls and managed exchange rate regimes, increased transaction costs in conventional currency exchange channels almost entirely translate into higher BTC premiums. Additionally, our analysis suggests that BTC premiums can serve as short-term predictors of future exchange rate depreciation for unconstrained currencies.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (19)
  1. Bitcoin microstructure and the kimchi premium. SSRN Electronic Journal, 2018. ISSN 1556-5068. doi:10.2139/ssrn.3189051.
  2. Trading and arbitrage in cryptocurrency markets. Journal of Financial Economics, 135:293–319, 2 2020. ISSN 0304405X. doi:10.1016/j.jfineco.2019.07.001.
  3. Decrypting new age international capital flows. Journal of Monetary Economics, 138:104–122, 2023.
  4. Evading capital controls via cryptocurrencies: Evidence from the blockchain. SSRN Electronic Journal, 2020. ISSN 1556-5068. doi:10.2139/ssrn.3956933.
  5. Capital flight and bitcoin regulation. International Review of Finance, 16:445–455, 9 2016. ISSN 1369412X. doi:10.1111/irfi.12072.
  6. How are stock prices affected by the location of trade? Journal of Financial Economics, 53:189–216, 1999. ISSN 0304-405X. doi:https://doi.org/10.1016/S0304-405X(99)00020-3.
  7. Closed-end country funds and u.s. market sentiment. Review of Financial Studies, 8:879–918, 7 1995. ISSN 0893-9454. doi:10.1093/rfs/8.3.879.
  8. The adr shadow exchange rate as an early warning indicator for currency crises. Journal of Banking and Finance, 33:1983–1995, 11 2009. ISSN 03784266. doi:10.1016/j.jbankfin.2009.04.019.
  9. L Rosenthal. The seemingly anomalous price behavior of royal dutch/shell and unilever n.v./plc. Journal of Financial Economics, 26:123–141, 7 1990. ISSN 0304405X. doi:10.1016/0304-405X(90)90015-R.
  10. The risk and return of arbitrage in dual-listed companies*. Review of Finance, 13:495–520, 7 2009. ISSN 1573-692X. doi:10.1093/rof/rfn031.
  11. Multi-market trading and arbitrage. Journal of Financial Economics, 97:53–80, 7 2010. ISSN 0304405X. doi:10.1016/j.jfineco.2010.03.005.
  12. Limits of arbitrage. Annual Review of Financial Economics, 2:251–275, 12 2010. ISSN 1941-1367. doi:10.1146/annurev-financial-073009-104107.
  13. Noise trader risk in financial markets. Journal of Political Economy, 98:703–38, 02 1990. doi:10.1086/261703.
  14. Capital control measures: A new dataset. IMF Economic Review, 64:548–574, 8 2016. ISSN 2041-4161. doi:10.1057/imfer.2016.11.
  15. Revised system for the classification of exchange rate arrangements. IMF Working Papers, 2009(211), 2009.
  16. World Bank. Migration and development brief 37. Technical report, World Bank, 11 2022a. URL https://www.knomad.org/sites/default/files/publication-doc/migration_and_development_brief_37_nov_2022.pdf.
  17. World Bank. An analysis of trends in cost of remittance services: Remittance prices worldwide quarterly. Technical report, World Bank, 3 2022b. URL https://remittanceprices.worldbank.org.
  18. Panel vector autoregression in r with the package panelvar. The Quarterly Review of Economics and Finance, 80:693–720, 2021.
  19. Lars Peter Hansen. Large sample properties of generalized method of moments estimators. Econometrica: Journal of the econometric society, pages 1029–1054, 1982.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 3 posts and received 1 like.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube