Finance Mathematics is devoted to financial markets both with discrete and continuous time, exploring how to make the transition from discrete to continuous time in option pricing.
This book features a detailed dynamic model of financial markets with discrete time, for application in real-world environments, along with Martingale measures and martingale criterion and the proven absence of arbitrage.
With a focus on portfolio optimization, fair pricing, investment risk, and self-finance, the authors provide numerical methods for solutions and practical financial models, enabling you to solve problems both from mathematical and from financial point of view.
- Calculations of Lower and upper prices, featuring practical examples
- The simplest functional limit theorem proved for transition from discrete to continuous time
- Learn how to optimize portfolio in the presence of risk factors
Academics, researchers, and practitioners in quantitative finance, financial risk management, economics and other areas of math, science and engineering
Chapter 1. Financial Markets with Discrete Time
1.1. General description of a market model with discrete time
1.2. Arbitrage opportunities, martingale measures and martingale
1.3. Contingent claims: complete and incomplete markets
1.4. The Cox–Ross–Rubinstein approach to option pricing
1.5. The sequence of the discrete-time markets as an intermediate
1.6. American contingent claims
Chapter 2. Financial Markets with Continuous Time
2.1. Transition from discrete to continuous time
2.2. Black–Scholes formula for the arbitrage-free price of the
2.3. Arbitrage theory for the financial markets with continuous time
2.4. American contingent claims in continuous time
2.5. Exotic derivatives in the model with continuous time
- No. of pages:
- © ISTE Press - Elsevier 2016
- 25th January 2016
- ISTE Press - Elsevier
- eBook ISBN:
- Hardcover ISBN:
Yuliya Mishura is Professor and Head of the Department of Probability Theory, Statistics and Actuarial Mathematics, Faculty of Mechanics and Mathematics, Taras Shevchenko National University of Kyiv, Ukraine. Her research interests include stochastic analysis, theory of stochastic processes, stochastic differential equations, numerical schemes, financial mathematics, risk processes, statistics of stochastic processes, and models with long-range dependence.
Head, Department of Probability, Statistics and Actuarial Mathematics, Faculty of Mechanics and Mathematics, Taras Shevchenko Kyiv National University, Kiev, Ukraine