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The microscopic simulation of financial markets[electronic resource] :from investor behavior to market phenomena /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	332/.041011
書名/作者:	The microscopic simulation of financial markets : from investor behavior to market phenomena // Moshe Levy, Haim Levy, Sorin Solomon.
作者:	Levy, Moshe.
其他作者:	Levy, Haim.
出版者:	San Diego : : Academic Press,, c2000.
面頁冊數:	1 online resource (xvii, 300 p.) : : ill.
附註:	Description based on print version record.
標題:	Investments - Mathematical models.
標題:	Investments - Computer simulation.
標題:	Capital market - Mathematical models.
標題:	Capital market - Computer simulation.
標題:	Financi�ele analyse.
標題:	Financiering.
標題:	Investeringen.
標題:	Simulatiemodellen.
標題:	Methodologie.
標題:	Mercado de capitais (modelos matem�aticos)
標題:	Mercado de capitais (simula�c�ao computacional)
標題:	Investimentos (modelos matem�aticos)
標題:	Investimentos (modelos matem�aticos;simula�c�ao computacional)
標題:	Investissements - Mod�eles math�ematiques.
標題:	Investissements - Simulation par ordinateur.
標題:	March�e financier - Mod�eles math�ematiques.
標題:	March�e financier - Simulation par ordinateur.
標題:	Investments --Mathematical models. Investments --Computer simulation. Capital market --Mathematical models. Capital market --Computer simulation.
ISBN:	9780080511597 (electronic bk.)
ISBN:	0080511597 (electronic bk.)
書目註:	Includes bibliographical references (p. 277-289) and index.
內容註:	Classic Models in Finance: Solved and Unsolved Issues. -- Decision Weights, Change of Wealth, and Value Function: The Experimental Evidence. -- Empirical and Experimental Evidence Regarding Preferences: Absolute and Relative Risk Aversion. -- Inefficient Choices and Investors' Irrationality. -- The Microscopic Simulation Method. -- Microscopic Simulations in Various Fields. -- The LLS Microscopic Simulation Model. -- Various Financial Microscopic Simulations. -- Prospect Theory, Asset Pricing, and Market Dynamics. -- Applications of Microscopic Simulation to the CAPM: Heterogeneous Expectations and the Number of Assets in the Portfolio. -- Application of Microscopic Simulation to Option Pricing: Uncertainty and Disagreement about the Volatility. -- Bibliography. -- Index.
摘要、提要註:	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.
電子資源:	An electronic book accessible through the World Wide Web; click for information
電子資源:	http://www.loc.gov/catdir/toc/els033/99069502.html
電子資源:	http://www.loc.gov/catdir/description/els033/99069502.html
電子資源:	http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=297115
電子資源:	Click here to view book

The microscopic simulation of financial markets[electronic resource] :from investor behavior to market phenomena /
Levy, Moshe.

The microscopic simulation of financial marketsfrom investor behavior to market phenomena /[electronic resource] :Moshe Levy, Haim Levy, Sorin Solomon. - San Diego :Academic Press,c2000. - 1 online resource (xvii, 300 p.) :ill.

Description based on print version record.

Includes bibliographical references (p. 277-289) and index.

Classic Models in Finance: Solved and Unsolved Issues. -- Decision Weights, Change of Wealth, and Value Function: The Experimental Evidence. -- Empirical and Experimental Evidence Regarding Preferences: Absolute and Relative Risk Aversion. -- Inefficient Choices and Investors' Irrationality. -- The Microscopic Simulation Method. -- Microscopic Simulations in Various Fields. -- The LLS Microscopic Simulation Model. -- Various Financial Microscopic Simulations. -- Prospect Theory, Asset Pricing, and Market Dynamics. -- Applications of Microscopic Simulation to the CAPM: Heterogeneous Expectations and the Number of Assets in the Portfolio. -- Application of Microscopic Simulation to Option Pricing: Uncertainty and Disagreement about the Volatility. -- Bibliography. -- Index.

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.

ISBN: 9780080511597 (electronic bk.)Subjects--Topical Terms:

404969
Investments
--Mathematical models.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: HG4515.2 / .L485 2000eb

Dewey Class. No.: 332/.041011

The microscopic simulation of financial markets[electronic resource] :from investor behavior to market phenomena /
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100 1 $a Levy, Moshe. $3 404966
245 1 4 $a The microscopic simulation of financial markets $h [electronic resource] : $b from investor behavior to market phenomena / $c Moshe Levy, Haim Levy, Sorin Solomon.
260 $a San Diego : $b Academic Press, $c c2000.
300 $a 1 online resource (xvii, 300 p.) : $b ill.
500 $a Description based on print version record.
504 $a Includes bibliographical references (p. 277-289) and index.
505 0 $a Classic Models in Finance: Solved and Unsolved Issues. -- Decision Weights, Change of Wealth, and Value Function: The Experimental Evidence. -- Empirical and Experimental Evidence Regarding Preferences: Absolute and Relative Risk Aversion. -- Inefficient Choices and Investors' Irrationality. -- The Microscopic Simulation Method. -- Microscopic Simulations in Various Fields. -- The LLS Microscopic Simulation Model. -- Various Financial Microscopic Simulations. -- Prospect Theory, Asset Pricing, and Market Dynamics. -- Applications of Microscopic Simulation to the CAPM: Heterogeneous Expectations and the Number of Assets in the Portfolio. -- Application of Microscopic Simulation to Option Pricing: Uncertainty and Disagreement about the Volatility. -- Bibliography. -- Index.
520 $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. 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.
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650 0 $a Investments $x Computer simulation. $3 404970
650 0 $a Capital market $x Mathematical models. $3 404971
650 0 $a Capital market $x Computer simulation. $3 404972
650 1 7 $a Financi�ele analyse. $2 gtt $3 404973
650 1 7 $a Financiering. $2 gtt $3 404974
650 1 7 $a Investeringen. $2 gtt $3 337238
650 1 7 $a Simulatiemodellen. $2 gtt $3 404975
650 1 7 $a Methodologie. $2 gtt $3 404534
650 7 $a Mercado de capitais (modelos matem�aticos) $2 larpcal $3 404976
650 7 $a Mercado de capitais (simula�c�ao computacional) $2 larpcal $3 404977
650 7 $a Investimentos (modelos matem�aticos) $2 larpcal $3 404978
650 7 $a Investimentos (modelos matem�aticos;simula�c�ao computacional) $2 larpcal $3 404979
650 6 $a Investissements $x Mod�eles math�ematiques. $3 404980
650 6 $a Investissements $x Simulation par ordinateur. $3 404981
650 6 $a March�e financier $x Mod�eles math�ematiques. $3 404982
650 6 $a March�e financier $x Simulation par ordinateur. $3 404983
650 4 $a Investments --Mathematical models. Investments --Computer simulation. Capital market --Mathematical models. Capital market --Computer simulation. $3 404984
655 7 $a Electronic books. $2 local $3 336502
700 1 $a Levy, Haim. $3 404967
700 1 $a Solomon, Sorin. $3 404968
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856 4 1 $3 Table of contents $u http://www.loc.gov/catdir/toc/els033/99069502.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/description/els033/99069502.html
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http://www.sciencedirect.com/science/book/9780124458901
http://www.loc.gov/catdir/toc/els033/99069502.html
http://www.loc.gov/catdir/description/els033/99069502.html
http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=297115
http://public.eblib.com/EBLPublic/PublicView.do?ptiID=452839

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