Cointegration Analysis of US M2 and Gold Price Over the Last Half Century
Open accessAbstract
In this article I have analysed the long-term relationship between US M2 money supply and the price of gold per troy ounce using Engle-Granger cointegration. The analysis shows the existence of long-term price dependency of gold in relation to US M2 money supply. M2 was used in two variants, seasonally adjusted and not seasonally adjusted. No relevant difference was observed between them. A period spanning 53 years, from 1970 to 2023, was analysed. An EC model using monthly observations indicates very weak correlation between the change of M2 and the subsequent change of the gold price, so semiannual observations were used instead which proved fully conclusive. This, together with results from the long-term model, confirms long price cycles and fluctuation around its equilibrium price lasting for years, which allows the use of gold as a hedge against increasing M2. This article may prove beneficial in filling the gap as it confirms gold price to be dependent on US M2 on longer time span analysed than previous studies and is fully able to explain gold price analysing dependency of two variables only.
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.
Integrity signals
Registry
Cites
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.
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?
Past research on standard assets such as gold has often found evidence of a long-run dependency on M2, supporting gold's role as a hedge against monetary expansion.
“Past research on standard assets, such as gold, have often found evidence of a long-run dependency on M2, supporting gold's role as a hedge against monetary expansion. Synek (2024) used Engle-Granger cointegration on over 50 years of data for a rlationship between money supply and gold.”
From The M2-Bitcoin Elasticity: A Cointegration Analysis (2015–2025) (2025) · cites this paper as Synek (2024)
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
No references could be resolved yet.
Research works printed but not linked: 21
- Arltová, M., Fedorová, D., 2016. Selection of Unit Root Test on the Basis of Time Series Length and Value of AR(1) Parameter. Statistika -Statistics and Economics Journal, 96(3), 47-64.
- Bampinas, G., Panagiotidis, T., 2015. Are gold and silver a hedge against inflation? A two century perspective. International Review of Financial Analysis, 41, 267-276. DOI: 10.1016/j.irfa.2015.02.007. · DOI
- Bapna, I., Sood, V., Totala, N. K., Saluja, H. S., 2012. Dynamics of Macroeconomic Variables Affecting Price Innovation in Gold: A Relationship Analysis. Pacific Business Review International, 5(1), 1-10.
- Baur, D. G., McDermott, T. K., 2010. Is Gold a Safe Haven? International Evidence. Journal of Banking & Finance, 34(8), 1886-1898. DOI: 10.1016/j.jbankfin.2009.12.008. · DOI · Paper page
- Beckmann, J., Czudaj, R., 2013. Gold as an inflation hedge in a time-varying coefficient framework. The North American Journal of Economics and Finance, 24, 208-222. DOI: 10.1016/j.najef.2012.10.007. · DOI
- Christie-David, R., Chaudhry, M., Koch, T. W., 2000. Do macroeconomics news releases affect gold and silver prices? Journal of Economics and Business, 52(5), 405-421. DOI: 10.1016/s0148-6195(00)00029-1. · DOI
- Dickey, D. A., Fuller, W. A., 1979. Distribution of the Estimators for Autoregressive Time Series With a Unit Root. Journal of the American Statistical Association, 74(366), 427-431. DOI: 10.2307/2286348. · DOI
- Elfakhani, S., Baalbaki I. B., Rizk, H., 2009. Gold price determinants: empirical analysis and implications. Journal for International Business and Entrepreneurship Development, 4(3), 161-178. DOI: 10.1504/jibed.2009.029010. · DOI
- Enders, W., 2014. Applied Econometric Time Series. 4 th Edition. New York: John Wiley. ISBN: 978-1-118-80856-6.
- Engle, R. F., Granger, C. W. J., 1987. Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI: 10.2307/1913236. · DOI · Paper page
- De Grauwe, P., Polan, M., 2005. Is Inflation Always and Everywhere a Monetary Phenomenon? The Scandinavian Journal of Economics, 107(2), 239-259. DOI: 10.1111/j.1467-9442.2005.00406.x. · DOI
- Hallman, J. J., Porter, R. D., Small, D. H., 1991. Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run? The American Economic Review, 81(4), 841-858.
- Hoang, T. H., Lahiani, A., Heller, D., 2016. Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach. Economic Modelling, 54, 54-66. DOI: 10.1016/j.econmod.2015.12.013. · DOI
- Kitchen, J., 1996. Domestic and international financial market responses to Federal deficit announcements. Journal of International Money and Finance, 15(2), 239-254. DOI: 10.1016/0261-5606(96)00003-4. · DOI
- Lucas, R. E., 1972. Expectations and the neutrality of money. Journal of Economic Theory, 4(2), 103-124. DOI: 10.1016/0022-0531(72)90142-1. · DOI
- Michl, A., 2019. Money and Inflation: Lost Cointegration. Politická ekonomie, 67(4), 385-405. DOI: 10.18267/j.polek.1255. · DOI
- Naser, H., 2017. Can Gold Investments Provide a Good Hedge Against Inflation? An Empirical Analysis. International Journal of Economics and Financial Issues, 7(1), 470-475.
- Revenda, Z., Arltová, M., 2022. Stocks, Gold and Inflation -Relationships and Contexts Over the Last 25 Years. Politická ekonomie, 70(3), 288-311. DOI: 10.18267/j.polek.1355. · DOI
- Sharma, S. S., 2016. Can consumer price index predict gold price returns? Economic Modelling, 55, 269-278. DOI: 10.1016/j.econmod.2016.02.014. · DOI
- Verbeek, M., 2008. A Guide to Modern Econometrics. Chichester: John Wiley. ISBN: 0-470-85773-0.
- Wang, K. M., Lee, Y. M., Thi, T. B. N., 2011. Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model. Economic Modelling, 28(3), 806-819. DOI: 10.1016/j.econmod.2010.10.008. · DOI
Cited by
Sorted by citations
The M2-Bitcoin Elasticity: A Cointegration Analysis (2015–2025)
Department of Economics, C. G. U., & Kokabian, P. (2025) · Journal of Economics and Social Dynamics · doi:10.63721/25jesd0104 · Cited by 1 · see citing works
- Authors
- Synek, R.
- Affiliations
- Prague University of Economics and Business (CZ)
- Corresponding author
- Synek, Richard
- Venue
- European Financial and Accounting Journal
- Published
- 2024-12-23
- Volume
- 19
- Issue
- 1
- Pages
- 1-19
- ISSN
- 1802-2197 (ISSN-L)
- 1805-4846
- OpenAlex
- W4407154875
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- European Financial and Accounting Journal (publishedVersion, cc-by)
- Econstor (Econstor) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Market Dynamics and Volatility
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Keywords
- gold prices, M2 money supply, cointegration, gold as hedge, US monetary policy
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