This book introduces an analytically tractable and computationally effective class of non-Gaussian models for shocks (regular Lévy processes of the exponential type) and related analytical methods similar to the initial Merton–Black–Scholes approach, which the authors call the Merton–Black–Scholes theory.
The authors have chosen applications interesting for financial engineers and specialists in financial economics, real options, and partial differential equations (especially pseudodifferential operators); specialists in stochastic processes will benefit from the use of the pseudodifferential operators technique in non-Gaussian situations. The authors also consider discrete time analogues of perpetual American options and the problem of the optimal choice of capital, and outline several possible directions in which the methods of the book can be developed further.
Taking account of a diverse audience, the book has been written in such a way that it is simple at the beginning and more technical in further chapters, so that it is accessible to graduate students in relevant areas and mathematicians without prior knowledge of finance or economics.
Sample Chapter(s)
Chapter 1.1: The Gaussian Merton-Black-Scholes theory (298 KB)
Chapter 1.2: Regular Lévy Processes of Exponential type (271 KB)
Chapter 1.3: Pricing of contingent claims (247 KB)
Chapter 1.4: The Generalized Black-Scholes equation (207 KB)
Chapter 1.5: Analytical methods used in the book (204 KB)
Chapter 1.6: An overview of the results covered in the book (206 KB)
Chapter 1.7: Commentary (112 KB)