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Transaction taxes, greed and risk aversion in an agent-based financial market model

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Abstract

Recent agent-based financial market models came to the result that taxing financial transactions does not per se increase financial stability and that the response of volatility and misalignments to rising tax rates seem to be u-shaped. Moreover, greed and the risk appetite of traders are often blamed for financial instability and there is no evidence how greed and risk aversion affect the effectiveness of regulations in financial markets. We aim to add to this gap in the literature by analyzing how the effectiveness of transaction taxes depend on different behavioral patterns within an agent-based framework. Our simulations indicate that a tax rate of 0.1% demarcates the stabilizing tax regime from the destabilizing one. We figure out that transaction taxes are less effective, either when chartists trade more aggressively, fundamentalists trade less aggressively, agents switch more frequently between trading strategies or only have short memory in their fitness measures. Lower risk aversion of agents, however, makes higher tax rates more effective as indicated by a flatter volatility response curve. We conclude that additional regulations should concentrate on the traders’ responsibilities for their risk-exposure.

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References

  • Alfarano S, Lux T, Wager F (2005) Estimation of agent-based models: the case of an asymmetric herding model. Comput Econ 26: 19–49

    Article  Google Scholar 

  • Boswijk P, Hommes C, Manzan S (2007) Behavioral heterogeneity in stock prices. J Econ Dyn Control 31: 1938–1970

    Article  Google Scholar 

  • Brock W, Hommes C (1998) Heterogeneous beliefs and routes to chaos in a simple asset pricing model. J Econ Dyn Control 22: 1235–1274

    Article  Google Scholar 

  • DeGrauwe P, Grimaldi M (2006) Exchange rate puzzles: a tale of switching attractors. Eur Econ Rev 50: 1–33

    Article  Google Scholar 

  • Demary M (2008) Who does a currency transaction tax harm more: short-term speculators or long-term investors?. Jahrbücher für Nationalökonomie und Statistik 228: 228–250

    Google Scholar 

  • Demary M (2010) Transaction taxes and traders with heterogeneous investment horizons in an agent-based financial market model. Econ Open Access Open Assess E-Journal 4:2010–2018, http://www.economics-ejournal.org/economics/journalarticles/2010-8

  • Franke R, Westerhoff F (2009) Validation of a structural stochastic volatility model of asset pricing, working paper

  • Gilli M, Winker P (2003) A global optimization heuristic for estimating agent-based models. Comput Stat Data Anal 42: 299–312

    Article  Google Scholar 

  • Ghongadze J, Lux T (2009) Modelling the dynamics of EU economic sentiment indicators: an interaction-based approach. Kiel working papers no. 1482, Kiel Institute for the World Economy

  • Haber G (2008) Monetary and fiscal policy analysis with an agent-based macroeconomic model. Jahrbücher für National konomie und Statistik 228(2+3): 276–295

    Google Scholar 

  • Hommes C (2006) Heterogeneous agents models in economics and finance. In: Tesfatsion L, Judd K (eds) Handbook of computational economics, vol 2: agent-based computational economics. North-Holland, Amsterdam, pp 1107–1186

    Google Scholar 

  • Keynes JM (1936) The general theory of employment. Interest and Money, New York

    Google Scholar 

  • LeBaron B (2006) Agent-based computational finance. In: Tesfatsion L, Judd K (eds) Handbook of computational economics, vol 2: agent-based computational economics. North-Holland, Amsterdam, pp 1187–1233

    Google Scholar 

  • Lux T (2009a) Stochastic behavioral asset pricing models and the stylized facts. In: Thorsten H, Klaus S-H (eds) Handbook of financial markets: dynamics and evolution. North Holland, Amsterdam, pp 161–211

    Chapter  Google Scholar 

  • Lux T (2009b) Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey. J Econ Behav Organ 72(2): 638–655

    Article  Google Scholar 

  • Lux T, Ausloos M (2002) Market fluctuations I: scaling, multi-scaling and their possible origins. In: Bunde A, Kropp J, Schellnhuber HJ (eds) Theories of desaster: scaling laws governing weather, body and stock market dynamics. Springer, Berlin, pp 373–410

    Google Scholar 

  • Lux T, Marchesi M (2000) Volatility clustering in financial markets: a microsimulation of interacting agents. Int J Finance Econ 3: 675–702

    Google Scholar 

  • Manski C, McFadden D (1981) Structural analysis of discrete data with econometric applications. MIT Press, Cambridge

    Google Scholar 

  • Manzan S, Westerhoff F (2005) Representativeness of news and exchange rate dynamics. J Econ Dyn Control 29: 677–689

    Article  Google Scholar 

  • Manzan S, Westerhoff F (2007) Heterogeneous expectations, exchange rate dynamics and predictability. J Econ Behav Organ 64: 111–128

    Article  Google Scholar 

  • Menkhoff L, Schmidt U (2005) The use of trading strategies by fund managers: some first survey evidence. Appl Econ 37(15): 1719–1730

    Article  Google Scholar 

  • Menkhoff L, Taylor M (2007) The obstinate passion of foreign exchange professionals: technical analysis. J Econ Lit XLV: 936–972

    Article  Google Scholar 

  • Pelizzari P, Westerhoff F (2007) Some effects of transaction taxes under different market microstructures. Quantitative Finance Research Center Research Paper 212

  • R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.R-project.org

  • Taylor M, Allen H (1992) The use of technical analysis in the foreign exchange market. J Int Money Finance 11: 304–314

    Article  Google Scholar 

  • Tobin J (1978) A proposal for international monetary reform. East Econ J 4: 153–159

    Google Scholar 

  • Westerhoff F (2001) Speculative behavior, exchange rate volatility and central bank interventions. Cent Eur J Oper Res 9: 31–50

    Google Scholar 

  • Westerhoff F (2003a) Heterogeneous traders and the tobin tax. J Evol Econ 13: 53–70

    Article  Google Scholar 

  • Westerhoff F (2003b) Speculative markets and the effectiveness of price limits. J Econ Dyn Control 28: 493–508

    Article  Google Scholar 

  • Westerhoff F (2003c) Anchoring and psychological barriers in foreign exchange markets. J Behav Finance 4: 65–70

    Article  Google Scholar 

  • Westerhoff F (2003d) Expectations driven distortions in the foreign exchange market. J Econ Behav Organ 51: 389–412

    Article  Google Scholar 

  • Westerhoff F (2003e) Speculative behavior and asset price dynamics. Nonlinear Dyn Psychol Life Sci 7: 245–262

    Article  Google Scholar 

  • Westerhoff F (2004a) Greed, fear and stock market dynamics. Physica A 343: 635–642

    Google Scholar 

  • Westerhoff F (2004b) Multiasset market dynamics. Macroecon Dyn 8: 596–616

    Google Scholar 

  • Westerhoff F (2006) Technical analysis based on price-volume signal and the power of trading breaks. Int J Theor Appl Finance 9: 227–244

    Article  Google Scholar 

  • Westerhoff F (2008) The use of agent-based financial market models to test the effectiveness of regulatory policies. Jahrbücher für Nationalökonomie und Statistik 228: 195–227

    Google Scholar 

  • Westerhoff F (2009) Exchange rate dynamics: a nonlinear survey. In: Rosser B (eds) Handbook of complexity research. Edward Elgar, Cheltenham, pp 287–325

    Google Scholar 

  • Westerhoff F, Dieci R (2006) The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: a behavioral finance approach. J Econ Dyn Control 30: 293–322

    Article  Google Scholar 

  • Westerhoff F, Reitz S (2003) Nonlinearities and cyclical behavior: the role of chartists and fundamentalists. Stud Nonlinear Dyn Economet 7(4) (Article 3)

  • Weidlich A, Veit D (2008) Agent-based simulations for electricity market regulation advice: procedures and an example. Jahrbücher für Nationalökonomie und Statistik 228(2+3): 149–172

    Google Scholar 

  • Wieland C, Westerhoff F (2005) Exchange rate dynamics, central bank interventions and chaos control methods. J Econ Behav Organ 58: 117–132

    Article  Google Scholar 

  • Winker P, Gilli M, Jeleskovic V (2007) An objective function for simulation based inference on exchange rate data. J Econ Int Coordinat 2: 125–145

    Article  Google Scholar 

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Authors and Affiliations

  1. Cologne Institute for Economic Research, Konrad-Adenauer-Ufer 21, 50668, Köln, Germany

    Markus Demary

  2. University of Kiel, Kiel, Germany

    Markus Demary

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  1. Markus Demary
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Correspondence to Markus Demary.

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Demary, M. Transaction taxes, greed and risk aversion in an agent-based financial market model. J Econ Interact Coord 6, 1–28 (2011). https://doi.org/10.1007/s11403-010-0071-9

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