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NAVIGATING THE CASHLESS TRANSITION: AN ARDL APPROACH TO MODELING THE IMPACT OF FINANCIAL TECHNOLOGY ON CASH DEMAND IN IRAN

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Arash K. Bahmani ¹ , Prof. Soraya M. Alizadeh ¹ ,

⁴ Department of Monetary Economics, Institute for Monetary and Banking Research, Tehran, Iran

⁴ Faculty of Economics and Management, Sharif University of Technology, Tehran, Iran

Abstract

Purpose: This paper empirically investigates the association between technological progress and the demand for real cash balances in Iran. Amid a global shift towards digital payments, understanding the quantitative substitution effect of financial technology on cash is crucial for effective monetary policy and currency management.

Methodology: The study employs the Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration, a method well-suited for analyzing long-run and short-run dynamics with variables of mixed integration orders. Using quarterly time-series data, the model specifies real cash demand as a function of real GDP (transaction motive), bank deposit rates (opportunity cost), and the number of Point of Sale (POS) terminals as a proxy for technological advancement. Post-estimation diagnostic and stability tests are conducted to ensure the model's robustness.

Findings: The ARDL bounds test confirms the existence of a stable, long-run equilibrium relationship between the variables. The long-run estimates reveal that technological progress has a statistically significant and negative association with the demand for real cash in Iran. The coefficient for POS terminals indicates a powerful substitution effect. The Error Correction Model (ECM) results show a significant speed of adjustment, indicating that approximately 35% of any short-term disequilibrium is corrected within one quarter.

Originality/Value: This study provides the first robust, ARDL-based analysis of the technology-cash demand nexus in Iran using recent data. It quantifies the substitution effect, offering empirical evidence that moves beyond descriptive analysis.

Implications: The findings have significant implications for the Central Bank of Iran. They underscore the need to refine cash demand forecasting models, optimize currency management logistics, and strategically advance the development of a Central Bank Digital Currency (CBDC) to navigate the country’s transition towards a less-cash society.

Keywords

Cash Demand, Technological Progress, Digital Payments, ARDL Model, Cointegration, Monetary Policy, Iran

References

Amromin, G., & Chakravorti, S. (2009). Whither loose change? The diminishing demand for small-denomination currency. Journal of Money, Credit and Banking, 41(2-3), 315-335. https://doi.org/10.1111/j.1538-4616.2009.00207.x

Arshadi, A., & Einian, M. (2011). Forecasting the demand for banknotes held by individuals (2011-2013). Tazehaye Eghtesad, (131), 117-121 (In Persian).

Assenmacher, K., Seitz, F. & Tenhofen, J. (2019). The demand for Swiss banknotes: some new evidence. Swiss. J Economics Statistics 155, 14. https://doi.org/10.1186/s41937-019-0041-7

Bank for International Settlements. (2024). Retail payments, currency and related indicators (data set). Retrieved from https://data.bis.org/topics/CPMI_CT/data (accessed on 25 January 2024).

Bech, M., & Hancock, J. (2020). Innovations in payments. BIS Quarterly Review, March, 21-36. Retrieved from https://ssrn.com/abstract=3561180

Bech, M., Faruqui, U., Ougaard, F., & Picillo, C. (2018). Payments are A-changin’ but cash still rules. BIS Quarterly Review, March, 67-80.

Committee on Payments and Market Infrastructures. (2018). Cross-border retail payments. Bank for International Settlements. Retrieved from https://www.bis.org/cpmi/publ/d173.htm1

Fisher, J. C., & Pry, R. H. (1971). A simple substitution model of technological change. Technological Forecasting and Social Change, 3(1), 75-88. https://doi.org/10.1016/S0040-1625(71)80005-7

Friedman, M. (1989). Quantity Theory of Money. In Money (pp. 1-40). Palgrave Macmillan UK. https://doi.org/10.1007/978-1-349-19804-7_1

Jakobsen, M. (2018). Payments are a-changin’ but traditional means are still here. Commentary on the CPMI “Red Book” statistics, December. Retrieved from https://www.bis.org/statistics/payment_stats/commentary1812.htm

Jalali-Naini, A. R., & Rabie Hamedani, H. (2016). Crypto Currencies and the Blockchain Technology: An Evolutionary Review of Money and the Payment Systems. Journal of Money and Economy, 11(3), 245-265.

Jalali-Naini, A. R., Riahi, Z., & Mojab, R. (2024). Evaluation of factors affecting the acceptance of Central Bank Digital Currency in Iran. Journal of Monetary and Banking Studies, 17(60), (In Press, In Persian).

Jebarajakirthy, C., & Shankar, A. (2021). Impact of online convenience on mobile banking adoption intention: A moderated mediation approach. Journal of Retailing and Consumer Services, 58, 102323. https://doi.org/10.1016/j.jretconser.2020.102323

Khiaonarong, M. T., & Humphrey, D. (2022). Falling use of cash and demand for retail central bank digital currency. International Monetary Fund.

Vikram Singh, 2025, Policy Optimization for Anti-Money Laundering (AML) Compliance using AI Techniques: A Machine Learning Approach to Enhance Banking Regulatory Compliance, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 14, Issue 04 (April 2025)

Kohli, U. (1988). A note on banknote characteristics and the demand for currency by denomination. Journal of Banking & Finance, 12(3), 389-399. https://doi.org/10.1016/0378-4266(88)90005-2

Kucharavy, D., & De Guio, R. (2011). Logistic substitution model and technological forecasting. Procedia Engineering, 9, 402-416. https://doi.org/10.1016/j.proeng.2011.03.129

Mansfield, E. (1961). Technical change and the rate of limitation. Econometrica, 29(4), 741-766. https://doi.org/10.2307/1911817

Mojab, R., Einian, M., Hadian, M., Hemmati, M., Zarei, Zh., & Latifi, Z. (2024). Analysis and examination of banknote holding patterns [Research Project]. Monetary and Banking Research Institute.

Natsiopoulos, K., & Tzeremes, N. (2023). ARDL: ARDL, ECM and bounds test for cointegration (R package version 0.2.4). Retrieved from https://github.com/Natsiopoulos/ARDL

Porter, R. D., & Judson, R. A. (1996). The location of U.S. currency: How much is abroad? Federal Reserve Bulletin, 82(10), 883-903. https://doi.org/10.17016/bulletin.1996.82-10

Rösl, G. & Seitz, F. (2022). Cash demand in times of crisis. Journal of Payments Strategy & Systems, 16(2), 107-119

Shaparak. (2023). Shaparak economic bulletin. Shaparak, Tehran, Iran (in Persian).

Shy, O. (2023). Cash is alive: How economists explain holding and use of cash. Journal of Economic Literature, 61(4), 1465-1520. https://doi.org/10.127R/jel.20221632

Stix, H. (2004). How do debit cards affect cash demand? Survey data evidence. Empirica, 31(2-3), 93-115. https://doi.org/10.1007/s10663-004-1079-y

Walsh, C. E. (2003). Monetary Theory and Policy. Cambridge, MA: The MIT Press.

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NAVIGATING THE CASHLESS TRANSITION: AN ARDL APPROACH TO MODELING THE IMPACT OF FINANCIAL TECHNOLOGY ON CASH DEMAND IN IRAN

Abstract

Keywords

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