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Books > Business & Economics > Economics > Economic theory & philosophy
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Complexity in Financial Markets - Modeling Psychological Behavior in Agent-Based Models and Order Book Models (Hardcover, 2014 ed.)
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Complexity in Financial Markets - Modeling Psychological Behavior in Agent-Based Models and Order Book Models (Hardcover, 2014 ed.)
Series: Springer Theses
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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.
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