The Statistical Mechanics of Financial Markets [electronic resource] /

From the reviews of the first edition - "Provides an excellent introduction for physicists interested in the statistical properties of financial markets. Appropriately early in the book the basic financial terms such as shorts, limit orders, puts, calls, and other terms are clearly defined. Examples, often with graphs, augment the reader’s understanding of what may be a plethora of new terms and ideas… [This is] an excellent starting point for the physicist interested in the subject. Some of the book’s strongest features are its careful definitions, its detailed examples, and the connection it establishes to physical systems." PHYSICS TODAY "This book is excellent at illustrating the similarities of financial markets with other non-equilibrium physical systems. [...] In summary, a very good book that offers more than just qualitative comparisons of physics and finance." (www.quantnotes.com) This highly-praised introductory treatment describes parallels between statistical physics and finance - both those established in the 100-year-long interaction between these disciplines, as well as new research results on capital markets. The random walk, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, or methods of risk control using diversification. Here the underlying assumptions are discussed using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion. On this basis, new theories of derivative pricing and risk control can be formulated. Computer simulations of interacting agent models of financial markets provide insights into the origins of asset price fluctuations. Stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes. These models allow for predictions. This new study edition has been updated with a presentation of several new and significant developments, e.g. the dynamics of volatility smiles and implied volatility surfaces, path integral approaches to option pricing, a new and accurate simulation scheme for options, multifractals, the application of nonextensive statistical mechanics to financial markets, and the minority game.

Saved in:
Bibliographic Details
Main Authors: Voit, Johannes. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:Mathematics., Game theory., Statistical physics., Dynamical systems., Statistics., Economic theory., Game Theory, Economics, Social and Behav. Sciences., Statistical Physics, Dynamical Systems and Complexity., Statistics for Business/Economics/Mathematical Finance/Insurance., Economic Theory/Quantitative Economics/Mathematical Methods.,
Online Access:http://dx.doi.org/10.1007/978-3-662-05125-2
Tags: Add Tag
No Tags, Be the first to tag this record!
id KOHA-OAI-TEST:212666
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Game theory.
Statistical physics.
Dynamical systems.
Statistics.
Economic theory.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics, Dynamical Systems and Complexity.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Mathematics.
Game theory.
Statistical physics.
Dynamical systems.
Statistics.
Economic theory.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics, Dynamical Systems and Complexity.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
spellingShingle Mathematics.
Game theory.
Statistical physics.
Dynamical systems.
Statistics.
Economic theory.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics, Dynamical Systems and Complexity.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Mathematics.
Game theory.
Statistical physics.
Dynamical systems.
Statistics.
Economic theory.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics, Dynamical Systems and Complexity.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Voit, Johannes. author.
SpringerLink (Online service)
The Statistical Mechanics of Financial Markets [electronic resource] /
description From the reviews of the first edition - "Provides an excellent introduction for physicists interested in the statistical properties of financial markets. Appropriately early in the book the basic financial terms such as shorts, limit orders, puts, calls, and other terms are clearly defined. Examples, often with graphs, augment the reader’s understanding of what may be a plethora of new terms and ideas… [This is] an excellent starting point for the physicist interested in the subject. Some of the book’s strongest features are its careful definitions, its detailed examples, and the connection it establishes to physical systems." PHYSICS TODAY "This book is excellent at illustrating the similarities of financial markets with other non-equilibrium physical systems. [...] In summary, a very good book that offers more than just qualitative comparisons of physics and finance." (www.quantnotes.com) This highly-praised introductory treatment describes parallels between statistical physics and finance - both those established in the 100-year-long interaction between these disciplines, as well as new research results on capital markets. The random walk, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, or methods of risk control using diversification. Here the underlying assumptions are discussed using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion. On this basis, new theories of derivative pricing and risk control can be formulated. Computer simulations of interacting agent models of financial markets provide insights into the origins of asset price fluctuations. Stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes. These models allow for predictions. This new study edition has been updated with a presentation of several new and significant developments, e.g. the dynamics of volatility smiles and implied volatility surfaces, path integral approaches to option pricing, a new and accurate simulation scheme for options, multifractals, the application of nonextensive statistical mechanics to financial markets, and the minority game.
format Texto
topic_facet Mathematics.
Game theory.
Statistical physics.
Dynamical systems.
Statistics.
Economic theory.
Mathematics.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics, Dynamical Systems and Complexity.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
author Voit, Johannes. author.
SpringerLink (Online service)
author_facet Voit, Johannes. author.
SpringerLink (Online service)
author_sort Voit, Johannes. author.
title The Statistical Mechanics of Financial Markets [electronic resource] /
title_short The Statistical Mechanics of Financial Markets [electronic resource] /
title_full The Statistical Mechanics of Financial Markets [electronic resource] /
title_fullStr The Statistical Mechanics of Financial Markets [electronic resource] /
title_full_unstemmed The Statistical Mechanics of Financial Markets [electronic resource] /
title_sort statistical mechanics of financial markets [electronic resource] /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
publishDate 2003
url http://dx.doi.org/10.1007/978-3-662-05125-2
work_keys_str_mv AT voitjohannesauthor thestatisticalmechanicsoffinancialmarketselectronicresource
AT springerlinkonlineservice thestatisticalmechanicsoffinancialmarketselectronicresource
AT voitjohannesauthor statisticalmechanicsoffinancialmarketselectronicresource
AT springerlinkonlineservice statisticalmechanicsoffinancialmarketselectronicresource
_version_ 1756269100183584768
spelling KOHA-OAI-TEST:2126662018-07-30T23:45:49ZThe Statistical Mechanics of Financial Markets [electronic resource] / Voit, Johannes. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,2003.engFrom the reviews of the first edition - "Provides an excellent introduction for physicists interested in the statistical properties of financial markets. Appropriately early in the book the basic financial terms such as shorts, limit orders, puts, calls, and other terms are clearly defined. Examples, often with graphs, augment the reader’s understanding of what may be a plethora of new terms and ideas… [This is] an excellent starting point for the physicist interested in the subject. Some of the book’s strongest features are its careful definitions, its detailed examples, and the connection it establishes to physical systems." PHYSICS TODAY "This book is excellent at illustrating the similarities of financial markets with other non-equilibrium physical systems. [...] In summary, a very good book that offers more than just qualitative comparisons of physics and finance." (www.quantnotes.com) This highly-praised introductory treatment describes parallels between statistical physics and finance - both those established in the 100-year-long interaction between these disciplines, as well as new research results on capital markets. The random walk, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, or methods of risk control using diversification. Here the underlying assumptions are discussed using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion. On this basis, new theories of derivative pricing and risk control can be formulated. Computer simulations of interacting agent models of financial markets provide insights into the origins of asset price fluctuations. Stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes. These models allow for predictions. This new study edition has been updated with a presentation of several new and significant developments, e.g. the dynamics of volatility smiles and implied volatility surfaces, path integral approaches to option pricing, a new and accurate simulation scheme for options, multifractals, the application of nonextensive statistical mechanics to financial markets, and the minority game.1. Introduction -- 2. Basic Information on Capital Markets -- 3. Random Walks in Finance and Physics -- 4. The Black—Scholes Theory of Option Prices -- 5. Scaling in Financial Data and in Physics -- 6. Turbulence and Foreign Exchange Markets -- 7. Risk Control and Derivative Pricing in Non-Gaussian Markets -- 8. Microscopic Market Models -- 9. Theory of Stock Exchange Crashes -- A. Appendix: Information Sources -- Notes and References.From the reviews of the first edition - "Provides an excellent introduction for physicists interested in the statistical properties of financial markets. Appropriately early in the book the basic financial terms such as shorts, limit orders, puts, calls, and other terms are clearly defined. Examples, often with graphs, augment the reader’s understanding of what may be a plethora of new terms and ideas… [This is] an excellent starting point for the physicist interested in the subject. Some of the book’s strongest features are its careful definitions, its detailed examples, and the connection it establishes to physical systems." PHYSICS TODAY "This book is excellent at illustrating the similarities of financial markets with other non-equilibrium physical systems. [...] In summary, a very good book that offers more than just qualitative comparisons of physics and finance." (www.quantnotes.com) This highly-praised introductory treatment describes parallels between statistical physics and finance - both those established in the 100-year-long interaction between these disciplines, as well as new research results on capital markets. The random walk, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, or methods of risk control using diversification. Here the underlying assumptions are discussed using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion. On this basis, new theories of derivative pricing and risk control can be formulated. Computer simulations of interacting agent models of financial markets provide insights into the origins of asset price fluctuations. Stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes. These models allow for predictions. This new study edition has been updated with a presentation of several new and significant developments, e.g. the dynamics of volatility smiles and implied volatility surfaces, path integral approaches to option pricing, a new and accurate simulation scheme for options, multifractals, the application of nonextensive statistical mechanics to financial markets, and the minority game.Mathematics.Game theory.Statistical physics.Dynamical systems.Statistics.Economic theory.Mathematics.Game Theory, Economics, Social and Behav. Sciences.Statistical Physics, Dynamical Systems and Complexity.Statistics for Business/Economics/Mathematical Finance/Insurance.Economic Theory/Quantitative Economics/Mathematical Methods.Springer eBookshttp://dx.doi.org/10.1007/978-3-662-05125-2URN:ISBN:9783662051252