000			01895nam a2200169 4500
020			_a978-3319007229
082			_a330.015118 CRI
100			_aCristelli, Matthieu.
245			_aComplexity in financial markets : modeling psychological behavior in agent-based models and order book models
260			_aNew York _bSpringer _c2014
300			_axix, 213p. _bHard Bound
500			_aAlpha Books 2383/ 02-02-17 Rs.8249/-
520			_aTools 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
650			_aCommerce--Mathematical models _aSystem theory _aData mining _aPhysics _aEconomics
856			_uhttp://www.springer.com/gp/book/9783319007229
942			_cBK
999			_c103103 _d103103