Cited by 40Blockchain Technology Applications and SecurityMonetary Policy and Economic ImpactEconomic theories and models

Designing a Global Digital Currency

Open access
Balvers, Ronald J., McDonald, Bill·2021·Journal of International Money and Finance

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jimonfin.2020.102317

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Stablecoins point to a future where money becomes predominantly global and digital, but bankless.

    “Stablecoins point to a future where money becomes predominantly global and digital, but bankless (Balvers and McDonald, 2017).”

    From Self-Sovereign Identity in a Globalized World: Credentials-Based Identity Systems as a Driver for Economic Inclusion (2020) · cites this paper as Balvers and McDonald, 2017

    Section 2.2 says stable digital currencies could help realize a global currency, and the Conclusions say improved stability could move them toward that ideal. The paper does not predict that money will become predominantly global and digital or that banks will disappear; Section 3.4 instead describes the Ethereum platform as an intermediary analogous to a depository institution. Page numbers were not available in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 16

  1. Ang, Andrew, Geert Bekaert, and Min Wei, 2007, Do macro variables, asset markets, or surveys forecast inflation better?, Journal of Monetary Economics 54, 1163-1212.
  2. Ang, Andrew, Asset Management: A Systematic Approach to Factor Investing , 2014, Oxford University Press, New York, NY.
  3. Baumol, William J., 1982, 'Contestable markets: an uprising in the theory of industry structure,' American Economic Review 72, 1-15.
  4. Cong, Lin William, and Zhiguo He, 2017, Blockchain Disruption and Smart Contracts, SSRN: https://ssrn.com/abstract=2985764.
  5. Cox, Nicholas J., 2010, Speaking Stata: The limits of sample skewness and kurtosis, The Stata Journal 10:3, 482-495.
  6. Davies, Glynn, 2002. A History of Money: From Ancient Times to the Present Day, University of Wales Press, 3rd Edition.
  7. Friedman, Milton and Anna Jacobson Schwartz, 1963, National Bureau of Economic Research, Princeton University Press, Princeton.
  8. Froot, Kenneth A. and Kenneth Rogoff, 1995, Perspectives on PPP and long-run exchange rates, G. Grossman, K. Rogoff (Eds.), Handbook of International Economics 3.
  9. Gorton, Gary, 2017, The history and economics of safe assets, Annual Review of Economics 9, https://doi.org/10.1146/annurev-economics-033017-125810. · DOI
  10. Harvey, Campbell R, 2016, Cryptofinance, SSRN: http://ssrn.com/abstract=2438299.
  11. Hooker, Mark, 2002, Are oil shocks inflationary? Asymmetric and nonlinear specifications versus changes in regime, Journal of Money, Credit, and Banking 34:2, 540-561.
  12. Rogoff, Kenneth, 2001, Why not a global currency?, The American Economic Review 91, 243247.
  13. Sargent, Thomas J. and Francois R. Velde, 2002, The big problem of small change. Princeton University Press, Princeton: NJ.
  14. Stock, J.H., and M.W. Watson, 2003, Forecasting output and inflation: The role of asset prices, Journal of Economic Literature 41, 788-829.
  15. Turing, Alan Mathison, 1937, On computable numbers, with an application to the Entscheidungsproblem, Proceedings of the London Mathematical Society 2, 230-265.
  16. Yermack, David, 2017, Corporate Governance and Blockchains, Review of Finance , doi:10.1093/for/rfw074. · DOI

Cited by

Sorted by citations

Authors
Balvers, R. J., & McDonald, B.
Affiliations
  • McMaster University (CA)
  • University of Notre Dame (US)
Corresponding author
Balvers, Ronald J.
Venue
Journal of International Money and Finance
Publisher
Elsevier BV
Published
2021-03
Volume
111
Pages
102317
ISSN
0261-5606 (ISSN-L)
OpenAlex
W2761250784
Cited by
40
References
1
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 7 · 2022: 11 · 2021: 4 · 2020: 5 · 2019: 2 · 2018: 1
FWCI
4.08
Type
journal article
Language
en
Open access
Locations
  • Journal of International Money and Finance (publishedVersion)
  • SSRN Electronic Journal (publishedVersion)
  • MacSphere (McMaster University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • MacSphere (McMaster University)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic theories and models
Keywords
cryptocurrency, seigniorage, price stability, inflation targeting, currency pegging, cryptocurrency portfolios, monetary policy design

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review