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Sand in the Wheels or Wheels in the Sand? Tobin Taxes and Market Crashes

  • Hynek Lavicka
  • Tomas Lichard
  • Jan Novotny

The recent crisis revived interest in financial transaction taxes (FTTs) as a means to offset negative risk externalities. However, up-to-date academic research does not provide sufficient insights into the effects of transaction taxes on financial markets as the literature has here-to-fore been focused too narrowly on Gaussian variance as a measure of volatility. In this paper, we argue that it is imperative to understand the relationship between price jumps, Gaussian variance, and FTTs. While Gaussian variance is not necessarily a problem in itself, the non-normality of return distribution caused by price jumps affects not only the performance of many risk-hedging algorithms but directly influences the frequency of catastrophic market events. To study the aforementioned relationship, we use an agent-based model of financial markets. Its results show that FTTs may increase the variance while decreasing the impact of price jumps. This result implies that regulators may face a trade-off between overall variance and price jumps when designing optimal tax. However, the results are not robust to the size of the artificial market as non-linearities emerge when the size of the market is increased.

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Paper provided by The Center for Economic Research and Graduate Education - Economic Institute, Prague in its series CERGE-EI Working Papers with number wp511.

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Date of creation: Mar 2014
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Handle: RePEc:cer:papers:wp511
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  1. Frank Westerhoff, 2002. "Heterogeneous Traders and the Tobin Tax," Computing in Economics and Finance 2002 51, Society for Computational Economics.
  2. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
  3. 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.
  4. Jérôme Lahaye & Sébastien Laurent & Christopher J. Neely, 2011. "Jumps, cojumps and macro announcements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 893-921, 09.
  5. GIOT, Pierre & LAURENT, Sébastien & PETITJEAN, Mikael, . "Trading activity, realized volatility and jumps," CORE Discussion Papers RP -2223, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Marco Raberto & Silvano Cincott & Sergio M. Focardi & Michele Marchesi, 2002. "Traders’ long-run wealth in an artificial financial market," Computing in Economics and Finance 2002 301, Society for Computational Economics.
  7. Barry Eichengreen, James Tobin, and Charles Wyplosz., 1994. "Two Cases for Sand in the Wheels of International Finance," Center for International and Development Economics Research (CIDER) Working Papers C94-045, University of California at Berkeley.
  8. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, . "Noise Trader Risk in Financial Markets," J. Bradford De Long's Working Papers _124, University of California at Berkeley, Economics Department.
  9. Jakub Steiner & Laurent Mathevet, 2012. "Sand in the Wheels: A Dynamic Global-Game Approach," 2012 Meeting Papers 123, Society for Economic Dynamics.
  10. 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.
  11. Mark Broadie & Ashish Jain, 2008. "The Effect Of Jumps And Discrete Sampling On Volatility And Variance Swaps," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(08), pages 761-797.
  12. 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.
  13. 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.
  14. Thomas Palley, 1999. "Speculation and Tobin taxes: Why sand in the wheels can increase economic efficiency," Journal of Economics, Springer, vol. 69(2), pages 113-126, June.
  15. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
  16. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
  17. James Tobin, 1978. "A Proposal for International Monetary Reform," Cowles Foundation Discussion Papers 506, Cowles Foundation for Research in Economics, Yale University.
  18. Hu, Shing-yang, 1998. "The effects of the stock transaction tax on the stock market - Experiences from Asian markets," Pacific-Basin Finance Journal, Elsevier, vol. 6(3-4), pages 347-364, August.
  19. Shinhua Liu & Zhen Zhu, 2009. "Transaction Costs and Price Volatility: New Evidence from the Tokyo Stock Exchange," Journal of Financial Services Research, Springer, vol. 36(1), pages 65-83, August.
  20. Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(1), pages 1-37.
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