This book gives a systematic introduction to the basic theory of financial mathematics, with an emphasis on applications of martingale methods in pricing and hedging of contingent claims, interest rate term structure models, and expected utility maximization problems. The general theory of static risk measures, basic concepts and results on markets of semimartingale model, and a numeraire-free and original probability based framework for financial markets are also included. The basic theory of probability and Ito's theory of stochastic analysis, as preliminary knowledge, are presented
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathema...
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional...
AbstractWe present an introduction to mathematical Finance Theory for mathematicians. The approach i...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
Stochastic processes of common use in mathematical finance are presented throughout this book, which...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
This book is intended as an introduction to both Monte Carlo methods and financial and actuarial mod...
This book presents basic stochastic processes, stochastic calculus including Lévy processes on one h...
Bridging the gap between theoretical books on stochastic finance and applied books on financial engi...
Financial Mathematics is an exciting, emerging field of application. The five sets of course notes i...
The volume collects the five lecture courses given at the CIME-EMS School on “Stochastic Methods in ...
This textbook provides a self-contained introduction to numerical methods in probability with a focu...
International audienceThis book covers the theory of derivatives pricing and hedging as well as tech...
The Mathematics of Finance has become a hot topic in applied mathematics ever since the discovery of...
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathema...
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathema...
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional...
AbstractWe present an introduction to mathematical Finance Theory for mathematicians. The approach i...
This book sheds new light on stochastic calculus, the branch of mathematics that is most widely appl...
Stochastic processes of common use in mathematical finance are presented throughout this book, which...
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its...
This book is intended as an introduction to both Monte Carlo methods and financial and actuarial mod...
This book presents basic stochastic processes, stochastic calculus including Lévy processes on one h...
Bridging the gap between theoretical books on stochastic finance and applied books on financial engi...
Financial Mathematics is an exciting, emerging field of application. The five sets of course notes i...
The volume collects the five lecture courses given at the CIME-EMS School on “Stochastic Methods in ...
This textbook provides a self-contained introduction to numerical methods in probability with a focu...
International audienceThis book covers the theory of derivatives pricing and hedging as well as tech...
The Mathematics of Finance has become a hot topic in applied mathematics ever since the discovery of...
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathema...
This book covers the theory of derivatives pricing and hedging as well as techniques used in mathema...
Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional...
AbstractWe present an introduction to mathematical Finance Theory for mathematicians. The approach i...