Stochastic Finance: An Introduction with Examples
Autor Amanda Turner, Dirk Zeindleren Limba Engleză Hardback – 8 feb 2023
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Cambridge University Press – 8 feb 2023 | 333.11 lei 3-5 săpt. | |
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Specificații
ISBN-13: 9781316511251
ISBN-10: 1316511251
Pagini: 252
Dimensiuni: 196 x 252 x 16 mm
Greutate: 0.7 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
ISBN-10: 1316511251
Pagini: 252
Dimensiuni: 196 x 252 x 16 mm
Greutate: 0.7 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom
Cuprins
Preface; Acknowledgements; Part I. Discrete-Time Models for Finance: 1. Introduction to finance; 2. Discrete probability; 3. Binomial or CRR model; 4. Finite market model; 5. Discrete Black–Scholes model; Part II. Continuous-Time Models for Finance: 6. Continuous probability; 7. Brownian motion; 8. Stochastic integration; 9. The Black–Scholes model; A Supplementary material; Bibliography; Symbol index; Index.
Recenzii
'The text does a great job of providing a comprehensive picture of basic mathematical finance concepts in both discrete and continuous settings. The authors provide a balanced amount of details in both the financial (arbitrage, replicating strategies, etc.) and mathematical aspects (probability, stochastic calculus, etc.) I really appreciate the fact that the technical details are presented in a way that is accessible to an advanced undergraduate student.' Triet Pham, Department of Mathematics, The School of Arts and Sciences, Rutgers, The State University of New Jersey
'This is a rigorous textbook on stochastic finance in which the reader will enjoy the path the authors take while introducing conditional expectations with respect to sigma-algebras, and the sequence of models from the binomial to Black-Scholes. In all, a careful construction of the theory with proofs that are both thorough and readable.' Ludolf E. Meester, Delft University of Technology
'This is a rigorous textbook on stochastic finance in which the reader will enjoy the path the authors take while introducing conditional expectations with respect to sigma-algebras, and the sequence of models from the binomial to Black-Scholes. In all, a careful construction of the theory with proofs that are both thorough and readable.' Ludolf E. Meester, Delft University of Technology
Notă biografică
Descriere
A relaxed and user-friendly approach to understanding financial mathematics and the pricing of options with extensive examples and exercises.