1.

Record Nr.

UNINA9910300420203321

Titolo

Econophysics and Data Driven Modelling of Market Dynamics / / edited by Frédéric Abergel, Hideaki Aoyama, Bikas K. Chakrabarti, Anirban Chakraborti, Asim Ghosh

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-08473-9

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (360 p.)

Collana

New Economic Windows, , 2039-411X

Disciplina

330.01519536

Soggetti

Sociophysics

Econophysics

Game theory

Economics

System theory

Computational complexity

Data-driven Science, Modeling and Theory Building

Game Theory, Economics, Social and Behav. Sciences

Economic Theory/Quantitative Economics/Mathematical Methods

Complex Systems

Complexity

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

From the Contents: How to measure lead-lag relationships from high frequency data? -- Correlation and Interdependencies in coupled financial networks -- The Asian Economic Observatory Network (AEON) Proposal on Data-Driven Agent-Based Modeling of the Asian Economies.

Sommario/riassunto

This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the



deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature.