Stochastic Calculus

1 Elements of probability.- 2 Stochastic processes.- 3 Brownian motion.- 4 Conditional probability.- 5 Martingales.- 6 Markov Processes.- 7 The stochastic integral.- 8 Stochastic calculus.- 9 Stochastic Differential Equations.- 10 PDE problems and diffusions.- 11 Simulation.- 12 Back to stochastic calculus.- 13 An application: finance.- Solutions of the exercises.- References.- Index.

Paolo Baldi is professor at the Dipartimento di Matematica at the Università di Roma "Tor Vergata". He previously held positions at the universities of Catania and Pisa in Italy and also many visiting positions at the universities of Nanterre and Pierre et Marie Curie (Paris 6) in France. His research focuses on stochastic processes, in particular stochastic modeling on algebraic structures, large deviations and numerical applications.

"This book is an excellent and quite complete course of stochastic calculus at the master's degree level. ... The book includes plenty of exercises, all of them completely and extensively solved in the appendix. This aspect can be very useful for professors who plan to use the book for teaching. In summary, I find that this is an excellent and complete book on stochastic calculus for master's level students. I am going to use it in my future teaching activities." (Josep Vives, Mathematical Reviews, November, 2018)





"The unique feature of this book is the vast amount of exercises and solutions (more than 200, according to the publisher), with detailed solutions - they are not just a one line hints. There are also many interesting detailed examples and discussions that elaborate on the theory. ... In my opinion this is a great book for self-study, as the exercises and solutions are a goldmine." (Peter Rabinovitch, MAA Reviews, May, 2018)"The first goal is to make the reader familiar with the basic elements of stochastic processes, such as Brownian motion, martingales and Markov processes and then move in the direction of stochastic integration. ... The book is written in clear language and in good style and will be useful for everybody who is interested in stochastic calculus; it is suited for beginners, students, researchers, teachers and practitioners." (Yuliya S. Mishura, zbMATH 1382.60001, 2018)