The Effectiveness Of Different Trading Strategies For Price-Takers
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- Henry Penikas & Proskurin S., 2013. "How Well do Analysts Predict Stock Prices? Evidence from Russia," HSE Working papers WP BRP 18/FE/2013, National Research University Higher School of Economics.
- Chiarella, Carl & Iori, Giulia, 2009.
"The impact of heterogeneous trading rules on the limit order book and order flows,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
- Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
- Chiarella, C. & Iori, G. & Perello, J., 2008. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Working Papers 08/04, Department of Economics, City University London.
- Carl Chiarella & Giulia Iori & Josep Perello, 2007. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Papers 0711.3581, arXiv.org.
- Raberto, Marco & Cincotti, Silvano & Focardi, Sergio M. & Marchesi, Michele, 2001.
"Agent-based simulation of a financial market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 319-327.
- Marco Raberto & Silvano Cincotti & Sergio M. Focardi & Michele Marchesi, 2001. "Agent-based simulation of a financial market," Papers cond-mat/0103600, arXiv.org, revised Mar 2001.
- Harras, Georges & Sornette, Didier, 2011.
"How to grow a bubble: A model of myopic adapting agents,"
Journal of Economic Behavior & Organization, Elsevier, vol. 80(1), pages 137-152.
- Georges Harras & Didier Sornette, 2008. "How to grow a bubble: A model of myopic adapting agents," Papers 0806.2989, arXiv.org, revised Nov 2010.
- Dieci, Roberto & Foroni, Ilaria & Gardini, Laura & He, Xue-Zhong, 2006.
"Market mood, adaptive beliefs and asset price dynamics,"
Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 520-534.
- Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
- Aleskerov, Fuad & Egorova, Lyudmila, 2012. "Is it so bad that we cannot recognize black swans?," Economics Letters, Elsevier, vol. 117(3), pages 563-565.
- Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2006.
"Asset price and wealth dynamics in a financial market with heterogeneous agents,"
Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1755-1786.
- Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
- Carl Chiarella & Roberto Dieci & Laura Gardini, 2004. "Asset Price and Wealth Dynamics in a Financial Market with Heterogeneous Agents," Research Paper Series 134, Quantitative Finance Research Centre, University of Technology, Sydney.
- Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012.
"Herding effects in order driven markets: The rise and fall of gurus,"
Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
- Iori, G. & Tedeschi, G., 2010. "Herding effects in order driven markets: The rise and fall of gurus," Working Papers 10/05, Department of Economics, City University London.
- Cont, Rama & Bouchaud, Jean-Philipe, 2000. "Herd Behavior And Aggregate Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 4(2), pages 170-196, June.
- Itzhak Venezia & Amrut Nashikkar & Zur Shapira, 2011. "Firm specific and macro herding by professional and amateur investors and their effects on market volatility," Discussion Paper Series dp586, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
- Venezia, Itzhak & Nashikkar, Amrut & Shapira, Zur, 2011. "Firm specific and macro herding by professional and amateur investors and their effects on market volatility," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1599-1609, July.
- Vince Darley & Alexander V Outkin, 2007. "A NASDAQ Market Simulation:Insights on a Major Market from the Science of Complex Adaptive Systems," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6217, August.
- Brown, Philip & Thomson, Nathanial & Walsh, David, 1999. "Characteristics of the order flow through an electronic open limit order book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 335-357, November.
- Matassini, Lorenzo & Franci, Fabio, 2001. "On financial markets trading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 526-542.
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More about this item
Keywords
agent-based system; simulation; stock exchange; trading strategies.;All these keywords.
JEL classification:
- G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2014-05-04 (Computational Economics)
- NEP-MST-2014-05-04 (Market Microstructure)
- NEP-RMG-2014-05-04 (Risk Management)
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