Monetary policy and banking intermediation in CBDC economy

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Mikhail Vitalyevich Leonov
صندلی اداری

Abstract

Increased dissemination of information and communication technologies in the economy has led many central bankers around the world to consider the introduction of money in the digital form. In academic literature, various central bank digital currency (CBDC) issues from technical design to political influence are discussed, although until now it has not been fully implemented in any country except the Bahamas. The central bank digital currency (CBDC) is an additional form of national currency that combines the properties of cash and bank accounts. This study mainly aims to provide a comprehensive analysis of monetary policy in the CBDC economy. to meet the aim of the study, the study applies an agent-based model that has six types of economic agents and complicated interaction algorithms. The various design parameters are employed to study the dynamics of endogenous variables. Model simulations suggest that CBDC introduction leads to reduced macroeconomic volatility and price stability. Furthermore, the study provides evidence of the increased efficiency of the interest rate channel of the monetary policy transmission mechanism and the negative consequences of possible banking disintermediation. Based on the results obtained, the study concludes that the CBDC impact the economy through changes in the monetary base, strengthening the structural liquidity deficit, banking disintermediation, and increasing the fiscal policy capabilities. The proposed agent-based model provides a theoretical foundation for the further study of monetary policy and banking intermediation in the CBDC economy.

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Section
Contemporary Issues on Management, Engineering and Economics

References

Auer, R., Frost, J., Gambacorta, L., Monnet, C., Rice, T., & Shin, H. S. (2021). Central bank digital currencies: motives, economic implications and the research frontier. Annual Review of Economics, forthcoming. 12(2), 23-37.

Bank for International Settlements (2018). Central bank digital currencies, CPMI, Markets Committee Papers, 174, URL: https://www.bis.org/cpmi/publ/d174.htm.

Barrdear, J., & Kumhof, M. (2021). The macroeconomics of central bank digital currencies. Journal of Economic Dynamics and Control, 104-148.

Bech, M. L., & Garratt, R. (2017). Central bank cryptocurrencies. BIS Quarterly Review September.

Bian, W., Ji, Y., & Wang, P. (2021). The crowding-out effect of central bank digital currencies: A simple and generalizable payment portfolio model. Finance Research Letters, 43, 102010.

Bindseil, U. (2019). Central bank digital currency: Financial system implications and control. International Journal of Political Economy, 48(4), 303-335.

Bookstaber, R. (2017). Agent-based models for financial crises. Annual Review of Financial Economics, 9, 85-100.

Brunnermeier, M. K., & Niepelt, D. (2019). On the equivalence of private and public money. Journal of Monetary Economics, 106, 27-41.

Caiani, A., Godin, A., Caverzasi, E., Gallegati, M., Kinsella, S., & Stiglitz, J. E. (2016). Agent based-stock flow consistent macroeconomics: Towards a benchmark model. Journal of Economic Dynamics and Control, 69, 375-408.

Dawid, H., Harting, P., Van der Hoog, S., & Neugart, M. (2019). Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication. Journal of Evolutionary Economics, 29(1), 467-538.

Dosi, G., Fagiolo, G., Napoletano, M., Roventini, A., & Treibich, T. (2015). Fiscal and monetary policies in complex evolving economies. Journal of Economic Dynamics and Control, 52, 166-189.

Fagiolo, G., & Roventini, A. (2016). Macroeconomic policy in DSGE and agent-based models redux: New developments and challenges ahead. Available at SSRN 2763735.

Giri, F., Riccetti, L., Russo, A., & Gallegati, M. (2019). Monetary policy and large crises in a financial accelerator agent-based model. Journal of Economic Behavior & Organization, 157, 42-58.

Gualdi, S., Tarzia, M., Zamponi, F., & Bouchaud, J. P. (2017). Monetary policy and dark corners in a stylized agent-based model. Journal of Economic Interaction and Coordination, 12(3), 507-537.

Haldane, A. G., & Turrell, A. E. (2019). Drawing on different disciplines: macroeconomic agent-based models. Journal of Evolutionary Economics, 29(1), 39-66.

Meaning, J., Dyson, B., Barker, J., & Clayton, E. (2018). Broadening narrow money: monetary policy with a central bank digital currency.

Peters, F., Reinhardt, O., & Uhrmacher, A. M. (2018, December). The impact of monetary policy on financial stability: using an agent-based model to explain rebound effects. In Proceedings of the 2018 Winter Simulation Conference (pp. 4206-4207).

Sanchez-Roger, M., & Puyol-Antón, E. (2021). Digital bank runs: A deep neural network approach. Sustainability, 13(3), 1513.

Schasfoort, J., Godin, A., Bezemer, D., Caiani, A., & Kinsella, S. (2017). Monetary policy transmission in a macroeconomic agent-based model. Advances in Complex Systems, 20(08), 1850003.

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