The microscopic simulation of financial markets: from investor behavior to market phenomena
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego
Academic Press
©2000
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (xvii, 300 pages) |
| ISBN: | 9780124458901 0124458904 9780080511597 0080511597 |
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| 500 | |a 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. | ||
| 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. | ||
| 500 | |a 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 | ||
| 500 | |a Includes bibliographical references (pages 277-289) and index | ||
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Datensatz im Suchindex
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| author | Levy, Moshe |
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| dewey-ones | 332 - Financial economics |
| dewey-raw | 332/.041011 |
| dewey-search | 332/.041011 |
| dewey-sort | 3332 541011 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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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 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 rswk-swf Kreditmarkt (DE-588)4073788-3 gnd rswk-swf Anlageverhalten (DE-588)4214003-1 gnd rswk-swf Kapitalmarkt (DE-588)4029578-3 gnd rswk-swf Kapitalmarkt (DE-588)4029578-3 s Anlageverhalten (DE-588)4214003-1 s Mikrosimulation (DE-588)4131395-1 s 1\p DE-604 Kreditmarkt (DE-588)4073788-3 s 2\p DE-604 Levy, Haim Sonstige oth Solomon, Sorin Sonstige oth http://www.sciencedirect.com/science/book/9780124458901 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| 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 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 |
| subject_GND | (DE-588)4131395-1 (DE-588)4073788-3 (DE-588)4214003-1 (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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