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500 |a However, experimental studies reveal systematic deviations from rational behavior. How can we determine the effect of investors' deviations from rational behavior on asset prices and market dynamics? By using Microscopic Simulation, a methodology originally developed by physicists for the investigation of complex systems, the authors are able to relax classical assumptions about investor behavior and to model it as empirically and experimentally observed. This rounded and judicious introduction to the application of MS in finance and economics reveals that many of the empirically-observed "puzzles" in finance can be explained by investors' quasi-rationality. Researchers use the book because it models heterogeneous investors, a group that has proven difficult to model. Being able to predict how people will invest and setting asset prices accordingly is inherently appealing, and the combination of computing power and statistical mechanics in this book makes such modeling possible.  
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spelling Levy, Moshe Verfasser aut
The microscopic simulation of financial markets from investor behavior to market phenomena Moshe Levy, Haim Levy, Sorin Solomon
San Diego Academic Press ©2000
1 Online-Ressource (xvii, 300 pages)
txt rdacontent
c rdamedia
cr rdacarrier
Microscopic Simulation (MS) uses a computer to represent and keep track of individual ("microscopic") elements in order to investigate complex systems which are analytically intractable. A methodology that was developed to solve physics problems, MS has been used to study the relation between microscopic behavior and macroscopic phenomena in systems ranging from those of atomic particles, to cars, animals, and even humans. In finance, MS can help explain, among other things, the effects of various elements of investor behavior on market dynamics and asset pricing. It is these issues in particular, and the value of an MS approach to finance in general, that are the subjects of this book. The authors not only put their work in perspective by surveying traditional economic analyses of investor behavior, but they also briefly examine the use of MS in fields other than finance. Most models in economics and finance assume that investors are rational.
However, experimental studies reveal systematic deviations from rational behavior. How can we determine the effect of investors' deviations from rational behavior on asset prices and market dynamics? By using Microscopic Simulation, a methodology originally developed by physicists for the investigation of complex systems, the authors are able to relax classical assumptions about investor behavior and to model it as empirically and experimentally observed. This rounded and judicious introduction to the application of MS in finance and economics reveals that many of the empirically-observed "puzzles" in finance can be explained by investors' quasi-rationality. Researchers use the book because it models heterogeneous investors, a group that has proven difficult to model. Being able to predict how people will invest and setting asset prices accordingly is inherently appealing, and the combination of computing power and statistical mechanics in this book makes such modeling possible.
Because many finance researchers have backgrounds in physics, the material here is accessible. Key Features * Emphasizes investor behavior in determining asset prices and market dynamics * Introduces Microscopic Simulation within a simplified framework * Offers ways to model deviations from rational decision-making
Includes bibliographical references (pages 277-289) and index
Investments / Mathematical models. Investments / Computer simulation. Capital market / Mathematical models. Capital market / Computer simulation
Investissements / Modèles mathématiques
Investissements / Simulation par ordinateur
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Investimentos (modelos matemáticos) larpcal
Investimentos (modelos matemáticos;simulação computacional) larpcal
Mathematisches Modell
Methode
Wirtschaft
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Investments Computer simulation
Capital market Mathematical models
Capital market Computer simulation
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spellingShingle Levy, Moshe
The microscopic simulation of financial markets from investor behavior to market phenomena
Investments / Mathematical models. Investments / Computer simulation. Capital market / Mathematical models. Capital market / Computer simulation
Investissements / Modèles mathématiques
Investissements / Simulation par ordinateur
Marché financier / Modèles mathématiques
Marché financier / Simulation par ordinateur
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Investimentos (modelos matemáticos;simulação computacional) larpcal
Mathematisches Modell
Methode
Wirtschaft
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Investments Computer simulation
Capital market Mathematical models
Capital market Computer simulation
Mikrosimulation (DE-588)4131395-1 gnd
Kreditmarkt (DE-588)4073788-3 gnd
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(DE-588)4029578-3
title The microscopic simulation of financial markets from investor behavior to market phenomena
title_auth The microscopic simulation of financial markets from investor behavior to market phenomena
title_exact_search The microscopic simulation of financial markets from investor behavior to market phenomena
title_full The microscopic simulation of financial markets from investor behavior to market phenomena Moshe Levy, Haim Levy, Sorin Solomon
title_fullStr The microscopic simulation of financial markets from investor behavior to market phenomena Moshe Levy, Haim Levy, Sorin Solomon
title_full_unstemmed The microscopic simulation of financial markets from investor behavior to market phenomena Moshe Levy, Haim Levy, Sorin Solomon
title_short The microscopic simulation of financial markets
title_sort the microscopic simulation of financial markets from investor behavior to market phenomena
title_sub from investor behavior to market phenomena
topic Investments / Mathematical models. Investments / Computer simulation. Capital market / Mathematical models. Capital market / Computer simulation
Investissements / Modèles mathématiques
Investissements / Simulation par ordinateur
Marché financier / Modèles mathématiques
Marché financier / Simulation par ordinateur
BUSINESS & ECONOMICS / Finance bisacsh
Financiële analyse gtt
Financiering gtt
Investeringen gtt
Simulatiemodellen gtt
Methodologie gtt
Mercado de capitais (modelos matemáticos) larpcal
Mercado de capitais (simulação computacional) larpcal
Investimentos (modelos matemáticos) larpcal
Investimentos (modelos matemáticos;simulação computacional) larpcal
Mathematisches Modell
Methode
Wirtschaft
Investments Mathematical models
Investments Computer simulation
Capital market Mathematical models
Capital market Computer simulation
Mikrosimulation (DE-588)4131395-1 gnd
Kreditmarkt (DE-588)4073788-3 gnd
Anlageverhalten (DE-588)4214003-1 gnd
Kapitalmarkt (DE-588)4029578-3 gnd
topic_facet Investments / Mathematical models. Investments / Computer simulation. Capital market / Mathematical models. Capital market / Computer simulation
Investissements / Modèles mathématiques
Investissements / Simulation par ordinateur
Marché financier / Modèles mathématiques
Marché financier / Simulation par ordinateur
BUSINESS & ECONOMICS / Finance
Financiële analyse
Financiering
Investeringen
Simulatiemodellen
Methodologie
Mercado de capitais (modelos matemáticos)
Mercado de capitais (simulação computacional)
Investimentos (modelos matemáticos)
Investimentos (modelos matemáticos;simulação computacional)
Mathematisches Modell
Methode
Wirtschaft
Investments Mathematical models
Investments Computer simulation
Capital market Mathematical models
Capital market Computer simulation
Mikrosimulation
Kreditmarkt
Anlageverhalten
Kapitalmarkt
url http://www.sciencedirect.com/science/book/9780124458901
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AT levyhaim themicroscopicsimulationoffinancialmarketsfrominvestorbehaviortomarketphenomena
AT solomonsorin themicroscopicsimulationoffinancialmarketsfrominvestorbehaviortomarketphenomena