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The microscopic simulation of financial markets = from investor behavior to market phenomena /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The microscopic simulation of financial markets/ Moshe Levy, Haim Levy, Sorin Solomon.
其他題名:	from investor behavior to market phenomena /
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.
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.
標題:	Capital market - Computer simulation. -
電子資源:	http://www.netLibrary.com/urlapi.asp?action=summary&v=1&bookid=297115
電子資源:	http://www.sciencedirect.com/science/book/9780124458901An electronic book accessible through the World Wide Web; click for information
電子資源:	http://public.eblib.com/EBLPublic/PublicView.do?ptiID=452839Click here to view book
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
ISBN:	0080511597 (electronic bk.)

The microscopic simulation of financial markets = 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: 0080511597 (electronic bk.)Subjects--Topical Terms:

1068596
Capital market
--Computer simulation.Index Terms--Genre/Form:

542853
Electronic books.

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

Dewey Class. No.: 332/.041011

The microscopic simulation of financial markets = from investor behavior to market phenomena /
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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.
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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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