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The Impact of the Tobin Tax in a Heterogeneous Agent Model of the Foreign Exchange Market

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  • Jiri Kukacka

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Smetanovo nabrezi 6, 111 01 Prague 1, Czech Republic
    Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodarenskou Vezi 4, 182 00, Prague, Czech Republic)

  • Filip Stanek

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Smetanovo nabrezi 6, 111 01 Prague 1, Czech Republic)

Abstract

We explore possible effects of a Tobin tax on exchange rate dynamics in a heterogeneous agent model. To assess the impact of the Tobin tax in this framework, we extend the model of De Grauwe and Grimaldi (2006) by including transaction costs and perform numerical simulations. Motivated by the importance of the market microstructure, we choose to model the market as being cleared by a Walrasian auctioneer. This setting could more closely resemble the two-layered structure of foreign exchanges at daily frequency than a price impact function, which is often adopted in similar studies. We find that the Tobin tax can deliver a moderate reduction of return volatility and kurtosis. In addition, simulations indicate that the Tobin tax reduces the degree of mispricing in the time series, which is primarily achieved by eliminating long-lasting deviations from the fundamental value.

Suggested Citation

  • Jiri Kukacka & Filip Stanek, 2015. "The Impact of the Tobin Tax in a Heterogeneous Agent Model of the Foreign Exchange Market," Working Papers IES 2015/26, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2015.
    • Handle: RePEc:fau:wpaper:wp2015_26
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    Cited by:

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    2. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    3. Qian Zhang & Kuo-Jui Wu & Ming-Lang Tseng, 2019. "Exploring Carry Trade and Exchange Rate toward Sustainable Financial Resources: An application of the Artificial Intelligence UKF Method," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    4. Lenhard, Gregor, 2024. "Learning from the Past: The Role of Personal Experiences in Artificial Stock Markets," Working papers 2024/01, Faculty of Business and Economics - University of Basel.
    5. Xiaoping Li & Chunyang Zhou, 2024. "Tobin Tax, Carry Trade, and the Exchange Rate Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 63(4), pages 1627-1647, April.
    6. Li, XiaoPing & Tong, Bin & Zhou, ChunYang, 2020. "Uncertainty aversion, carry trades and agent heterogeneity in the FX market," Finance Research Letters, Elsevier, vol. 36(C).

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    More about this item

    Keywords

    Tobin Tax; Foreign Exchange Market; Agent Based Modeling; Walrasian Auctioneer;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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