Abstract
We investigate the distribution of relative returns (RR) among agents who possess varying levels of information in an artificial stock market (ASM). We demonstrate the existence of the J-curve in this market. In contrast to previous studies, the agents in possession of the least information are statistically not different net losers. Moreover, we find that the J-curve is not valid if the relative number of random traders is high. We introduce Tobin-like transaction taxes and show that they destroy liquidity and harm market efficiency. With high taxes, the inequality between agents possessing varying levels of information decreases. However, tax levels dealt with in recent studies influence the market parameters and the J-curve only marginally.
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Notes
- 1.
- 2.
We thank the anonymous referee for pointing this out. This is true if the random trader does not have any influence on the market price, or if he has an equal probability to beat the market and to be beaten by the market.
- 3.
The results are based on the treatment of the real stock market in Sweden.
- 4.
According to their results, the volatility is reduced through the introduction of a higher tax level.
- 5.
They found that tax increases volatility and decreases trading volume.
References
Anufriev M, Arifovic J, Ledyard J, Panchenko V (2013) Efficiency of continuous double auctions under individual evolutionary learning with full or limited information. J Evol Econ 23:539–573
Bauwens L, Giot P (2001) Econometric modelling of stock market intraday activity. Advanced studies in theoretical and applied econometrics, vol 38. Kluwer Academic Publishers, Boston
Black F (1986) Noise. J Financ 41(3):529–543
Cervone R, Galavotti S, LiCalzi M (2009) Symmetric equilibria in double auctions with markdown buyers and markup sellers. In: Hernández Iglesias C, Posada M, López-Paredes A (eds) Artificial economics. Lecture notes in economics and mathematical systems, vol 631. Springer, Dordrecht, pp 81–92
Chiarella C, Iori G (2002) A simulation analysis of the microstructure of double auction markets. Quant Financ 2:346–353
Fama E (1970) Efficient capital markets: a review of theory and empirical work. J Financ 25(2):383–417
Grossman S, Stiglitz J (1980) On the impossibility of informationally efficient markets. Am Econ Rev 70(3):393–408
Hanke M, Huber J, Kirchler M, Sutter M (2010) The economic consequences of a Tobin tax - an experimental analysis. J Econ Behav Organ 74:58–71
Huber J (2007) ‘J’-shaped returns to timing advantage in access to information - experimental evidence and a tentative explanation. J Econ Dyn Control 31:2536–2572
Kirchler M, Huber J, Kleinlercher D (2011) Market microstructure matters when imposing a Tobin tax - evidence from the lab. J Econ Behav Organ 80:586–602
Levy M, Levy H, Solomon S (2000) The microscopic simulation of financial markets: from investor behavior to market phenomena. Academic, San Diego
Li H, Tang M, Shang W, Wang S (2013) Securities transaction tax and stock market behavior in an agent-based financial market model. Proc Comput Sci 18:1764–1773
Mannaro K, Marchesi M, Setzu A (2008) Using an artificial financial market for assessing the impact of Tobin-like transaction taxes. J Econ Behav Organ 67(2):445–462
Pellizzari P, Westerhoff F (2009) Some effects of transaction taxes under different microstructures. J Econ Behav Organ 72(3):850–863
Posada M, Hernández C (2010) The effects of transaction costs on artificial continuous double auction markets. In: LiCalzi M, Milone L, Pellizzari P (eds) Progress in artificial economics. Lecture notes in economics and mathematical systems, vol 645. Springer, Berlin, pp 65–74
Posada M, Hernández C, López-Paredes A (2006) Learning in continuous double auction market. In: Beckmann M, et al. (eds) Artificial economics. Lecture notes in economics and mathematical systems, vol 564. Springer, Berlin, pp 41–51
Posada M, Hernández C, López-Paredes A (2006) Strategic behaviour in continuous double auction. In: Bruun C (ed) Advances in artificial economics. Lecture notes in economics and mathematical systems, vol 584. Springer, Berlin, pp 31–43
Schredelseker K (1980) Unequally distributed information and stock market theory. Arbeitspapiere des Fachbereichs Wirtschaftswissenschaft der Gesamthochschule Wuppertal 50
Schredelseker K (1984) Anlagestrategie und Informationsnutzen am Aktienmarkt. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung 36:44–59
Tóth B, Scalas E (2008) The value of information in financial markets: an agent-based simulation. In: Hanke M, Huber J (eds) Information, interaction and (in)efficiency in financial markets. Linde, Wien
Tóth B, Scalas E, Huber J, Kirchler M (2007) The value of information in a multi-agent market model: the luck of the uninformed. Eur Phys J B 55:115–120
Umlauf S (1993) Transaction taxes and the behavior of the Swedish stock market. J Financ Econ 33:227–240
Westerhoff F (2010) A simple agent-based financial market model: direct interactions and comparisons of trading profits. In: Bischi G, Chiarella C, Gardini L (eds) Nonlinear dynamics in economics, finance and social sciences. Springer, Berlin, pp 313–332
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Kalimullina, L., Schöbel, R. (2015). The J-Curve and Transaction Taxes: Insights from an Artificial Stock Market. In: Amblard, F., Miguel, F., Blanchet, A., Gaudou, B. (eds) Advances in Artificial Economics. Lecture Notes in Economics and Mathematical Systems, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-319-09578-3_8
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DOI: https://doi.org/10.1007/978-3-319-09578-3_8
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