Buch, Englisch, 626 Seiten, Format (B × H): 155 mm x 235 mm
An Introduction to Stochastic Analysis and Option Pricing
Buch, Englisch, 626 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Springer Texts in Business and Economics
ISBN: 978-3-032-12326-8
Verlag: Springer Nature Switzerland AG
This self-contained book is the first of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods.
This volume covers stochastic analysis, option pricing theory, optimal portfolio investment, and bond pricing. Computer simulations in Matlab and Python are provided to illustrate theoretical ideas. Background in mathematics is included in the appendices and the level of familiarity with computer programming is kept to a minimum.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Anlagen & Wertpapiere
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Finanz- und Versicherungsmathematik
- Mathematik | Informatik Mathematik Stochastik
Weitere Infos & Material
Fundamental Concepts.- Financial Derivatives.- The Lebesgue Integral.- Basic Probability Theory.- Conditional Expectation.- Stochastic Processes.- Brownian Motion.- The Reflection Principle of Brownian Motion.- The Itô Integral.- The Itô Formula.- Girsanov’s Theorem.- Stochastic Differential Equations.- The Feynman Kac Theorem.- The Binomial Tree Method for Option Pricing.- The Black Scholes Merton Differential Equation.- The Martingale Method.- Pricing of Vanilla Options.- Pricing of Exotic Options.- American Options.- The Capital Asset Pricing Model.- Dynamic Programming.- Bond Pricing.- Short Rate Models.- Numeraires.




