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Derivative Security Pricing - Techniques, Methods and Applications (Hardcover, 2015 ed.): Carl Chiarella, Xue-Zhong He,... Derivative Security Pricing - Techniques, Methods and Applications (Hardcover, 2015 ed.)
Carl Chiarella, Xue-Zhong He, Christina Sklibosios Nikitopoulos
R4,805 Discovery Miles 48 050 Ships in 18 - 22 working days

The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling. By focusing more on the financial intuition of the applications rather than the mathematical formalities, the book provides the essential knowledge and understanding of fundamental concepts of stochastic finance, and how to implement them to develop pricing models for derivatives as well as to model spot and forward interest rates. Furthermore an extensive overview of the associated literature is presented and its relevance and applicability are discussed. Most of the key concepts are covered including Ito's Lemma, martingales, Girsanov's theorem, Brownian motion, jump processes, stochastic volatility, American feature and binomial trees. The book is beneficial to higher-degree research students, academics and practitioners as it provides the elementary theoretical tools to apply the techniques of stochastic finance in research or industrial problems in the field.

Derivative Security Pricing - Techniques, Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2015):... Derivative Security Pricing - Techniques, Methods and Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
Carl Chiarella, Xue-Zhong He, Christina Sklibosios Nikitopoulos
R6,314 Discovery Miles 63 140 Ships in 18 - 22 working days

The book presents applications of stochastic calculus to derivative security pricing and interest rate modelling. By focusing more on the financial intuition of the applications rather than the mathematical formalities, the book provides the essential knowledge and understanding of fundamental concepts of stochastic finance, and how to implement them to develop pricing models for derivatives as well as to model spot and forward interest rates. Furthermore an extensive overview of the associated literature is presented and its relevance and applicability are discussed. Most of the key concepts are covered including Ito's Lemma, martingales, Girsanov's theorem, Brownian motion, jump processes, stochastic volatility, American feature and binomial trees. The book is beneficial to higher-degree research students, academics and practitioners as it provides the elementary theoretical tools to apply the techniques of stochastic finance in research or industrial problems in the field.

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