Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.
Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.
The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
This book aims to give a complete and self-contained presentation of semi- Markov models with finitely many states, in view of solving real life problems of risk management in three main fields: Finance, Insurance and Reliability providing a useful complement to our first book (Janssen and Manca (2006)) which gives a theoretical presentation of semi-Markov theory. However, to help assure the book is self-contained, the first three chapters provide a summary of the basic tools on semi-Markov theory that the reader will need to understand our presentation. For more details, we refer the reader...
This book aims to give a complete and self-contained presentation of semi- Markov models with finitely many states, in view of solving real life probl...
This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiomatic approach that is ideally suited for analyzing financial problems. This book is addressed to MBA's, Financial Engineers, Applied Mathematicians, Banks, Insurance Companies, and Students of Business School, of Economics, of Applied Mathematics, of Financial Engineering, Banks, and more.
This book provides a detailed study of Financial Mathematics. In addition to the extraordinary depth the book provides, it offers a study of the axiom...
This book aims to give a complete and self-contained presentation of semi- Markov models with finitely many states, in view of solving real life problems of risk management in three main fields: Finance, Insurance and Reliability providing a useful complement to our first book (Janssen and Manca (2006)) which gives a theoretical presentation of semi-Markov theory. However, to help assure the book is self-contained, the first three chapters provide a summary of the basic tools on semi-Markov theory that the reader will need to understand our presentation. For more details, we refer the reader...
This book aims to give a complete and self-contained presentation of semi- Markov models with finitely many states, in view of solving real life probl...
Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes.
Presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes.
The concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here.
Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.
With the impact of the recent financial crises, more attention must be given to new models in finance rejecting -Black-Scholes-Samuelson- assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) - one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation. VaR methodology for...
With the impact of the recent financial crises, more attention must be given to new models in finance rejecting -Black-Scholes-Samuelson- assumptio...
