1.

Record Nr.

UNINA9910300380303321

Autore

Cristelli Matthieu

Titolo

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

Pubbl/distr/stampa

Cham, : Springer, 2014

ISBN

3-319-00723-8

Edizione

[1st ed. 2014.]

Descrizione fisica

xix, 216 p. : ill. (some col.)

Collana

Springer theses : recognizing outstanding Ph.D. research, , 2190-5053

Disciplina

621

Soggetti

Finance

Business mathematics

Markets

Statistical physics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

pt. I. Agent-based modeling -- pt. II. Financial market dynamics : order book and data analysis -- pt. III. A metrics for the economic complexity.

Sommario/riassunto

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.