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ISBN 10: 3319255878 ISBN 13: 9783319255873
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ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: New. 1st ed. 2016.
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Publicado por Springer International Publishing AG, CH, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: New. 1st ed. 2016.
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Publicado por Springer International Publishing AG, Cham, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: new. Paperback. This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the BlackScholesMerton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena. The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry. This book is an introduction to stochastic analysis and quantitative finance; Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoXXXII, 657 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Añadir al carritoCondición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9783319255873.
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Publicado por Springer International Publishing, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoCondición: New. Presents the mathematical methods required for pricing financial derivativesEncourages hands-on experience and builds intuition by explaining theoretical concepts with computer simulationsCovers .
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Publicado por Springer International Publishing AG, CH, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: New. 1st ed. 2016.
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Publicado por Springer International Publishing AG, Cham, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: new. Paperback. This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the BlackScholesMerton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena. The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry. This book is an introduction to stochastic analysis and quantitative finance; Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Publicado por Springer International Publishing AG, CH, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoPaperback. Condición: Brand New. 692 pages. 9.25x6.25x1.50 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Stochastic Analysis for Finance with Simulations | Geon Ho Choe | Taschenbuch | Universitext | xxxii | Englisch | 2016 | Springer | EAN 9783319255873 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan, 2016
ISBN 10: 3319255878 ISBN 13: 9783319255873
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods. Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models. Also included are simulations of stochastic phenomena, numerical solutions of the Black-Scholes-Merton equation, Monte Carlo methods, and time series. Basic measure theory is used as a tool to describe probabilistic phenomena.The level of familiarity with computer programming is kept to a minimum. To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices. This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition. Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. StochasticAnalysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study. It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 692 pages. 9.25x6.25x1.50 inches. In Stock. This item is printed on demand.