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Measure, Probability, And Mathematical Finance - A Problem-Oriented Approach (Cód: 9237043)

Gan, Guojun; Ma, Chaoqun; Xie, Hong

John Wiley & Sons

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Measure, Probability, And Mathematical Finance - A Problem-Oriented Approach

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Descrição

An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, 'Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach' presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models. The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, 'Measure, Probability, and Mathematical Finance' features: A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes' ' 'Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach' is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models. An introduction to the mathematical theory and financial models developed and used on Wall Street Providing both a theoretical and practical approach to the underlying mathematical theory behind financial models, 'Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach' presents important concepts and results in measure theory, probability theory, stochastic processes, and stochastic calculus. Measure theory is indispensable to the rigorous development of probability theory and is also necessary to properly address martingale measures, the change of numeraire theory, and LIBOR market models. In addition, probability theory is presented to facilitate the development of stochastic processes, including martingales and Brownian motions, while stochastic processes and stochastic calculus are discussed to model asset prices and develop derivative pricing models. The authors promote a problem-solving approach when applying mathematics in real-world situations, and readers are encouraged to address theorems and problems with mathematical rigor. In addition, 'Measure, Probability, and Mathematical Finance' features: A comprehensive list of concepts and theorems from measure theory, probability theory, stochastic processes, and stochastic calculus Over 500 problems with hints and select solutions to reinforce basic concepts and important theorems Classic derivative pricing models in mathematical finance that have been developed and published since the seminal work of Black and Scholes 'Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach' is an ideal textbook for introductory quantitative courses in business, economics, and mathematical finance at the upper-undergraduate and graduate levels. The book is also a useful reference for readers who need to build their mathematical skills in order to better understand the mathematical theory of derivative pricing models.

Características

Produto sob encomenda Sim
Marca John Wiley & Sons
Cód. Barras 9781118831960
Altura 23.62 cm
I.S.B.N. 9781118831960
Profundidade 4.32 cm
Referência 025147647
Acabamento Capa dura
Ano da edição 2014
Idioma Inglês
Número de Páginas 744
Peso 1.11 Kg
Largura 15.75 cm
AutorGan, Guojun; Ma, Chaoqun; Xie, Hong

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