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Complexity in financial markets modeling psychological behavior in agent-based models and order book models Matthieu Cristelli

Springer Nature - Springer Physics and Astronomy (R0) eBooks 2014 English International Available online

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Format:
Book
Thesis/Dissertation
Author/Creator:
Cristelli, Matthieu, author.
Series:
Springer theses 2190-5053
Language:
English
Subjects (All):
Commerce--Mathematical models.
Commerce.
System theory.
Systems Theory.
Medical Subjects:
Systems Theory.
Genre:
dissertations
Academic theses
Physical Description:
1 online resource
Place of Publication:
Cham Springer [2013?]
Summary:
Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First, it is shown that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets' stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can yield a picture of market activities: it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here for country competitiveness and product complexity is groundbreaking in comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system and economic indicators such as the GDP per capita discloses its hidden growth potential
Contents:
Introduction
Stylized Facts
Agent-Based Modeling
Critical Review of Agent-Based Models
A Minimal Agent-Based Model
Financial Market Dynamics: Order Book and Data Analysis
Order Book: Introduction and Main Statistical Evidences
Zero Intelligence Model for the Order Book Dynamics
Evidences of strategic placements of orders
Quantitative Analysis of Technical Trading
Universal Relation between Skewness and Kurtosis
Web Queries Can Predict Stock Market Volumes
A Metric for the Economic Complexity
Theory of Economic growth
Notes:
Ph. D. Sapienza University of Rome (2013?)
Includes bibliographical references
Online resource; title from PDF title page (SpringerLink, viewed September 3, 2013)
Other Format:
Printed edition:
ISBN:
9783319007236
3319007238
331900722X
9783319007229
OCLC:
857819468
Access Restriction:
Restricted for use by site license

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