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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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    References listed on IDEAS

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    1. Harald Hau, 2006. "The Role of Transaction Costs for Financial Volatility: Evidence from the Paris Bourse," Journal of the European Economic Association, MIT Press, vol. 4(4), pages 862-890, June.
    2. Frank H. Westerhoff, 2004. "Market Depth And Price Dynamics: A Note," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 15(07), pages 1005-1012.
    3. Pellizzari, Paolo & Westerhoff, Frank, 2009. "Some effects of transaction taxes under different microstructures," Journal of Economic Behavior & Organization, Elsevier, vol. 72(3), pages 850-863, December.
    4. Yin-Wong Cheung & Menzie D. Chinn & Ian W. Marsh, 2004. "How do UK-based foreign exchange dealers think their market operates?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 289-306.
    5. P. Weber & B. Rosenow, 2005. "Order book approach to price impact," Quantitative Finance, Taylor & Francis Journals, vol. 5(4), pages 357-364.
    6. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    7. Kempf, Alexander & Korn, Olaf, 1999. "Market depth and order size1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 29-48, February.
    8. Robert Z. Aliber & Bhagwan Chowdhry & Shu Yan, 2003. "Some Evidence that a Tobin Tax on Foreign Exchange Transactions May Increase Volatility," Review of Finance, Springer, vol. 7(3), pages 481-510.
    9. James Tobin, 1978. "A Proposal for International Monetary Reform," Eastern Economic Journal, Eastern Economic Association, vol. 4(3-4), pages 153-159, Jul/Oct.
    10. Peter Flaschel & Florian Hartmann & Christopher Malikane & Christian Proaño, 2015. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 669-691, April.
    11. G. Ehrenstein & F. Westerhoff & D. Stauffer, 2005. "Tobin tax and market depth," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 213-218.
    12. Martin Šmíd, 2016. "Estimation of zero-intelligence models by L1 data," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1423-1444, September.
    13. Shinhua Liu & Zhen Zhu, 2009. "Transaction Costs and Price Volatility: New Evidence from the Tokyo Stock Exchange," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(1), pages 65-83, August.
    14. Lavička, H. & Lichard, T. & Novotný, J., 2016. "Sand in the wheels or wheels in the sand? Tobin taxes and market crashes," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 328-342.
    15. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    16. Umlauf, Steven R., 1993. "Transaction taxes and the behavior of the Swedish stock market," Journal of Financial Economics, Elsevier, vol. 33(2), pages 227-240, April.
    17. Flood, Mark D., 1994. "Market structure and inefficiency in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 13(2), pages 131-158, April.
    18. Bianconi, Ginestra & Galla, Tobias & Marsili, Matteo & Pin, Paolo, 2009. "Effects of Tobin taxes in minority game markets," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 231-240, May.
    19. Frankel, Jeffrey A & Froot, Kenneth A, 1990. "Chartists, Fundamentalists, and Trading in the Foreign Exchange Market," American Economic Review, American Economic Association, vol. 80(2), pages 181-185, May.
    20. Oberlechner, Thomas, 2001. "Importance of Technical and Fundamental Analysis in the European Foreign Exchange Market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 81-93, January.
    21. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.),Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    22. De Grauwe, Paul & Grimaldi, Marianna, 2006. "Exchange rate puzzles: A tale of switching attractors," European Economic Review, Elsevier, vol. 50(1), pages 1-33, January.
    23. Gudrun Ehrenstein, 2002. "Cont-Bouchaud percolation model including Tobin tax," Papers cond-mat/0205320, arXiv.org.
    24. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    25. Frank Westerhoff, 2003. "Heterogeneous traders and the Tobin tax," Journal of Evolutionary Economics, Springer, vol. 13(1), pages 53-70, February.
    26. Demary, Markus, 2006. "Transaction taxes, traders' behavior and exchange rate risks," Economics Working Papers 2006-14, Christian-Albrechts-University of Kiel, Department of Economics.
    27. Zoltán Eisler & Jean-Philippe Bouchaud & Julien Kockelkoren, 2012. "The price impact of order book events: market orders, limit orders and cancellations," Quantitative Finance, Taylor & Francis Journals, vol. 12(9), pages 1395-1419, September.
    28. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    29. Kirchler, Michael & Huber, Jürgen & Kleinlercher, Daniel, 2011. "Market microstructure matters when imposing a Tobin tax—Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 586-602.
    30. Gudrun Ehrenstein, 2002. "Cont–Bouchaud Percolation Model Including Tobin Tax," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 13(10), pages 1323-1331.
    31. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
    32. Kroll, Yoram & Levy, Haim & Markowitz, Harry M, 1984. "Mean-Variance versus Direct Utility Maximization," Journal of Finance, American Finance Association, vol. 39(1), pages 47-61, March.
    33. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    34. Mannaro, Katiuscia & Marchesi, Michele & Setzu, Alessio, 2008. "Using an artificial financial market for assessing the impact of Tobin-like transaction taxes," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 445-462, August.
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    Cited by:

    1. Li, Xiao-Ping & Zhou, Chun-Yang & Tong, Bin, 2019. "Carry trades, agent heterogeneity and the exchange rate," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 343-358.
    2. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
    3. 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).
    4. 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, Open Access Journal, vol. 11(12), pages 1-1, June.

    More about this item

    Keywords

    Tobin Tax; Foreign Exchange Market; Agent Based Modeling; Walrasian Auctioneer;

    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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