The Impact of Digital Currency on Demand for Money: Evidence from Indonesia
1Aula Ahmad Hafid Saiful Fikr, 2Lilia Pasca Riani,3Mustofa,
4Maimun Sholeh,5Supriyanto
1,2,3,4,5 Faculty of Economic and Business, Universitas Negeri Yogyakarta
https://doi.org/10.47191/jefms/v7-i3-30
ABSTRACT:
The purpose of this study is to examine the impact of digital currency transaction variables on the demand for money in Indonesia. The data used are data on the volume of mobile banking transactions, internet banking, interest rates, the level of currency fluctuations, and inflation on the demand for money for the period 2013 to 2022. Data analysis uses Autoregressive Distributed Lag (ARDL) cointegration method. The results of regression testing can be concluded that the long-term relationship is valid. In addition, using CUSUM and CUSUMQ from the quadratic test, the demand for money in Indonesia is relatively stable using the narrow definition of money, it implies that there haven't been significant and persistent shifts in either the mean or the variance of the narrow money supply. A stable demand for money suggests that the economic agents in Indonesia, such as households and businesses, are not undergoing substantial changes in their preferences or behaviors related to holding money. This stability can have implications for monetary policy and economic planning, as it indicates a certain level of predictability in the demand for money. However, it's crucial to keep in mind that economic conditions and factors influencing the demand for money can change over time. Therefore, continuous monitoring and periodic reassessment of the stability of the demand for money are necessary for accurate economic analysis and policy formulation.
KEYWORDS:
mobile banking, internet banking, and debit card banking, interest rates, exchange rate, inflation, demand for money
REFERENCES:
1) B. Xin and K. Jiang, “Economic uncertainty, central bank digital currency, and negative interest rate policy,” 2023, doi: 10.1016/j.jmse.2023.04.001.
2) J. Son, D. Ryu, and R. I. Webb, “Central bank digital currency: Payment choices and commercial bank profitability,” International Review of Financial Analysis, vol. 90, 2023, doi: 10.1016/j.irfa.2023.102874.
3) Z.-A. Wang, R.-N. Samuel, X.-Q. Chen, B. Xu, and W.-L. Huang, “Central bank digital currencies: Consumer data-driven sustainable operation management policy,” Technol Forecast Soc Change, vol. 196, p. 122867, 2023, doi: 10.1016/j.techfore.2023.122867.
4) D. Horváth, “Money in the digital age: Exploring the potential of central bank digital currency with a focus on social adaptation and education,” Sustainable Futures, 2023, doi: 10.1016/j.sftr.2023.100136.
5) C. Zhou, “Evaluating the effectiveness of monetary policy for retail central bank digital currency,” 2023, doi: 10.1016/j.latcb.2023.100111.
6) M. Sadiq, A. Faruk Aysan, and U. N. Kayani, “Digital currency and blockchain security in accelerating financial stability: A mediating role of credit supply,” Borsa Istanbul Review, 2023, doi: 10.1016/j.bir.2023.09.009.
7) A. Alora, P. Sahoo, and A. Sasidharan, “Central bank digital currency adoption challenges-The case of an emerging nation,” Financ Res Lett, vol. 59, p. 104756, 2024, doi: 10.1016/j.frl.2023.104756.
8) B. Hayo, “Does the ECB’s monetary policy affect personal finances and economic inequality? A household perspective from Germany,” Econ Model, vol. 129, pp. 264–9993, 2023, doi: 10.1016/j.econmod.2023.106556.
9) M. Ferrari Minesso, A. Mehl, and L. Stracca, “Central bank digital currency in an open economy R,” J Monet Econ, vol. 127, pp. 54–68, 2022, doi: 10.1016/j.jmoneco.2022.02.001.
10) R. Khalfaoui, H. Padhan, A. K. Tiwari, and S. Hammoudeh, “Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India,” Resources Policy, vol. 68, Oct. 2020, doi: 10.1016/j.resourpol.2020.101743.
11) L. Benati, R. E. B. Lucas, J. P. Nicolini, and W. Weber, “International evidence on long-run money demand,” J Monet Econ, vol. 117, pp. 43–63, 2021, doi: 10.1016/j.jmoneco.2020.07.003.
12) E. Alexander, “What explains the growing global demand for cash?,” 1006, Sep. 2019. [Online]. Available: http://hdl.handle.net/10419/222773
13) J. Atanasijević, M. Danon, Z. Lužanin, and D. Kovačević, “Shadow Economy Estimation Using Cash Demand Approach: The Case of Serbia,” Sustainability (Switzerland), vol. 14, no. 20, Oct. 2022, doi: 10.3390/su142013179.
14) [M. A. Khan, M. H. Adil, and S. Husain, “The impact of economic uncertainty, stock market uncertainty and monetary uncertainty on money demand in India,” International Journal of Emerging Markets, vol. 18, no. 10, pp. 3743–3762, Nov. 2021, doi: 10.1108/IJOEM-04-2021-0570/FULL/XML.
15) N. G. Mankiw, Principles of economics, 8th ed. Cengage Learning, 2017.
16) Frederic S. Mishkin, Financial Markets and Institutions, 6th ed. Addison Wesley , 2008. Accessed: Dec. 09, 2023. [Online]. Available: https://www.amazon.com/Stanley-Frederic-Financial-Institutions-Hardcover/dp/B004MB0P8A
17) M. K. Brunnermeier and D. Niepelt, “On the equivalence of private and public money R,” J Monet Econ, vol. 106, pp. 27– 41, 2019, doi: 10.1016/j.jmoneco.2019.07.004.
18) R. Becker, W. Enders, and S. Hurn, “Chapter 9 Modeling Inflation and Money Demand Using a Fourier-Series Approximation,” vol. 276, pp. 221–246, Jan. 2006, doi: 10.1016/S0573-8555(05)76009-0.
19) C. Dreger and J. Wolters, “Money demand and the role of monetary indicators in forecasting euro area inflation,” Int J Forecast, vol. 30, no. 2, pp. 303–312, Apr. 2014, doi: 10.1016/J.IJFORECAST.2013.09.008.
20) [R. Boucekkine, M. Laksaci, and M. Touati-Tliba, “Long-run stability of money demand and monetary policy: The case of Algeria,” The Journal of Economic Asymmetries, vol. 24, p. e00217, Nov. 2021, doi: 10.1016/J.JECA.2021.E00217.
21) L. Wang and T. Zhu, “Population aging and money demand,” Econ Lett, vol. 206, p. 109984, Sep. 2021, doi: 10.1016/J.ECONLET.2021.109984.
22) . Burdett, A. Trejos, and R. Wright, “A new suggestion for simplifying the theory of money,” J Econ Theory, vol. 172, pp. 423–450, Nov. 2017, doi: 10.1016/J.JET.2017.09.006.
23) R. Lagos, “Some results on the optimality and implementation of the Friedman rule in the Search Theory of Money,” J Econ Theory, vol. 145, no. 4, pp. 1508–1524, Jul. 2010, doi: 10.1016/J.JET.2009.05.010.
24) B. Moazzami and K. L. Gupta, “The quantity theory of money and its long-run implications,” J Macroecon, vol. 17, no. 4, pp. 667–682, Sep. 1995, doi: 10.1016/0164-0704(95)80088-3.
25) M. Lebre DE Freitas, “International currency substitution and the demand for money in the euro area,” Econ Model, vol. 117, p. 106064, Dec. 2022, doi: 10.1016/J.ECONMOD.2022.106064.
26) M. A. Haque and M. Shoaib, “Case report e |-The digital currency in India: Challenges and prospects,” BenchCouncil Transactions on Benchmarks, Standards and Evaluations, vol. 3, p. 100107, 2023, doi: 10.1016/j.tbench.2023.100107.
27) M. Bahmani-Oskooee and A. Tanku, “Black market exchange rate, currency substitution and the demand for money in LDCs,” Economic Systems, vol. 30, no. 3, pp. 249–263, Oct. 2006, doi: 10.1016/J.ECOSYS.2006.04.001.
28) S. K. Singh, “Currency demand stability in the presence of seasonality and endogenous financial innovation: Evidence from India,” Journal of Financial Economic Policy, vol. 9, no. 2, pp. 122–139, 2017, doi: 10.1108/JFEP-05-2016- 0037/FULL/HTML.
29) R. F. Engle and C. W. J. Granger, “Co-integration and error correction: Representation, estimation, and testing,” Applied Econometrics, vol. 39, no. 3, pp. 107–135, 2015, doi: 10.2307/1913236.
30) J. Soren and J. Katarina, “MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION - WITH APPLICATIONS TO THE DEMAND FOR MONEY,” Oxford Bulletin of Economics and Statistic, vol. 52, pp. 169–210, 1990, Accessed: Dec. 09, 2023. [Online]. Available: https://sci-hub.se/http://dx.doi.org/10.1111/j.1468- 0084.1990.mp52002003.x
31) M. H. Pesaran, “An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis,” Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, pp. 371–413, Dec. 2008, doi: 10.1017/CCOL0521633230.011.