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Juan Fernandez-Manjarres Member since: Thursday, November 20, 2014

PhD

My work centers on evaluating the adaptiva capacity and proposing strategies for managing forest under climate change in both temperate and tropical areas.

Talal Alsulaiman Member since: Friday, February 27, 2015

Bachelor of Science in Systems Engineering, Master of Science in Industrial Engineering, Master of Science in Financial Engineering

In this paper, we explore the dynamic of stock prices over time by developing an agent-based market. The developed artificial market comprises of heterogeneous agents occupied with various behaviors and trading strategies. To be specific, the agents in the market may expose to overconfidence, conservatism or loss aversion biases. Additionally, they may employ fundamental, technical, adaptive (neural network) strategies or simply being arbitrary agents (zero intelligence agents). The market has property of direct interaction. The environment takes the form of network structure, namely, it takes the manifestation of scale-free network. The information will flow between the agents through the linkages that connect them. Furthermore, the tax imposed by the regulator is investigated. The model is subjected to goodness of fit to the empirical observations of the S\&P500. The fitting of the model is refined by calibrating the model parameters through heuristic approach, particularly, scatter search. Conclusively, the parameters are validated against normality, absence of correlations, volatility cluster and leverage effect using statistical tests.

Mind Mingles Member since: Monday, July 19, 2021 Full Member

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mikegolf Member since: Sunday, January 08, 2012

Emergence Paris

Stephanie Toth Member since: Monday, April 14, 2014

Rosanna Garcia Member since: Tuesday, March 09, 2010

PhD

consumer market forecasting, diffusion

florianwaldner Member since: Tuesday, June 07, 2011

Business model innovation on markets for digital cultural goods.

Fabian Kostadinov Member since: Monday, April 15, 2013

MSc in Computer Science

Development of dynamic, adaptive, complex models of financial markets.

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