Students and instructors alike will benefit from this rigorous, unfussy text. It keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence, conditioning and limit theorems for random sequences. Motivational examples, careful proofs and plenty of exercises facilitate self-study.
Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style.
This brief but full introduction to basic stochastic processes contains key results that have become essential for finance practitioners and provides a solid grounding for understanding the Black-Scholes option pricing model. Students, practitioners and researchers will benefit from the authors' rigorous, but unfussy, approach to technical issues.
Designed for Master's students and final-year undergraduates, this book strikes the right balance between mathematical rigour and practical application. Carefully chosen examples and exercises help students acquire the necessary skills to deal with interest rate modelling in a real-world setting.