Martingales and Financial Mathematics in Discrete Time Martingales and Financial Mathematics in Discrete Time

Martingales and Financial Mathematics in Discrete Time

    • 144,99 US$
    • 144,99 US$

Lời Giới Thiệu Của Nhà Xuất Bản

This book is entirely devoted to discrete time and provides a detailed introduction to the construction of the rigorous mathematical tools required for the evaluation of options in financial markets. Both theoretical and practical aspects are explored through multiple examples and exercises, for which complete solutions are provided. Particular attention is paid to the Cox, Ross and Rubinstein model in discrete time.

The book offers a combination of mathematical teaching and numerous exercises for wide appeal. It is a useful reference for students at the master’s or doctoral level who are specializing in applied mathematics or finance as well as teachers, researchers in the field of economics or actuarial science, or professionals working in the various financial sectors.

Martingales and Financial Mathematics in Discrete Time is also for anyone who may be interested in a rigorous and accessible mathematical construction of the tools and concepts used in financial mathematics, or in the application of the martingale theory in finance

THỂ LOẠI
Khoa Học & Tự Nhiên
ĐÃ PHÁT HÀNH
2021
20 tháng 12
NGÔN NGỮ
EN
Tiếng Anh
ĐỘ DÀI
240
Trang
NHÀ XUẤT BẢN
Wiley
NGƯỜI BÁN
John Wiley & Sons, Inc.
KÍCH THƯỚC
21,7
Mb
An Intermediate Course in Probability An Intermediate Course in Probability
2009
A First Course In Stochastic Processes A First Course In Stochastic Processes
2012
Principles of Uncertainty Principles of Uncertainty
2020
Probability Probability
2012
Markov Decision Processes with Applications to Finance Markov Decision Processes with Applications to Finance
2011
Essentials of Probability Theory for Statisticians Essentials of Probability Theory for Statisticians
2018
A Comprehensive Guide to HSMM A Comprehensive Guide to HSMM
2025
Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes
2015