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Herausgeber: 
  • Taisei Kaizoji
  • Anindya S. Chakrabarti
  • Lukáš Pichl
  • Network Theory and Agent-Based Modeling in Economics and Finance 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2019  
    Genre:  Wirtschaft / Recht 
     
    B / Economic Theory / Economic theory & philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Economics and Finance / Economics, finance, business & management / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general / Heterodox Economics / Industrial Management / macroeconomics / Macroeconomics and Monetary Economics / Macroeconomics/Monetary Economics//Financial Economics / Management of specific areas / Management science / Monetary Economics / Probability & statistics / Quantitative Economics / Schools of economics / Statistics
    ISBN:  9789811383182 
    EAN-Code: 
    9789811383182 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  857 gr 
    Seiten:  458 
    Illustration:  VI, 458 p. 144 illus., 119 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. 

    Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complexsystems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

      
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