Looking at stock market composition you will see investor which carry their positions for a long time, as well a bunch of investors that change their position many times within a day. The investor which negotiates using intraday strategy is well known as: noise traders (the day trader’s). The ways their behavior is simulated into the economic theory today using rules of thumbs for them, and include them in a market with others investors that did not use those rules, but use sophisticated mechanism such as expected value instead. The contribution of the paper to the literature is to offer a unified way to model noise traders. Regularly, agent based models in finance use to different rules to model the behavior into the financial market. One for the skilled investors, and other to more naive ones. The noise traders would be included in the second group. Our proposal is to model both groups with the same rule.
Cite this paper
Silva, E. M. and Takimoto, L. (2017). How to Model Noise Traders Investors Using Prospect Theory. Open Access Library Journal, 4, e3567. doi: http://dx.doi.org/10.4236/oalib.1103567.
Shleifer, A. and
Summers,
L.H. (1990) The
Noise Trader Approach to Finance. The
Journal of Economic Perspectives, 4, 19-33. https://doi.org/10.1257/jep.4.2.19
Vacha, L.,
Barunik, J.
and Vosvrda, M. (2012) How
Do Skilled Traders Change the Structure of the Market. International Review of Financial Analysis, 23, 66-71. https://doi.org/10.1016/j.irfa.2011.06.011
Suhadolnik,
N.,
Galimberti, J.
and Da Silva, S. (2010) Robot
Traders Can Prevent Extreme Events in Complex Stock Markets. Physica A: Statistical Mechanics and Its Applications, 389,
5182-5192. https://doi.org/10.1016/j.physa.2010.07.025
Tversky,
A. and Kahneman, D. (1991) Loss
Aversion in Riskless Choice: A Reference Dependent Model. The Quarterly Journal of Economics, 106,
1039-1061. https://doi.org/10.2307/2937956
Tversky,
A. and Kahneman, D. (1992) Advances
in Prospect Theory: Cumulative Representation of Uncertainty. Journal of Risk and Uncertainty, 5,
297-323. https://doi.org/10.1007/BF00122574
Couzin, I.D., et al. (2005) Effective
Leadership and Decision-Making in Animal Groups on the Move. Nature, 433,
513-516. https://doi.org/10.1038/nature03236