Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R For A Comprehensive Guide

ISBN-13: 9781119387619

This book provides a comprehensive introduction to applied probabilistic calculus for financial engineering using the programming language R. The author covers a wide range of topics including probability theory, stochastic processes, and financial derivatives. The book is designed for students and professionals in the field of financial engineering who want to learn how to apply probabilistic calculus to solve real-world problems.

The book begins with an overview of probability theory and introduces the reader to the basics of stochastic processes. It then delves into more advanced topics such as Brownian motion, Ito’s lemma, and stochastic differential equations. The author also covers the pricing and hedging of financial derivatives using probabilistic calculus.

Throughout the book, the author provides numerous examples and exercises to help the reader understand and apply the concepts discussed. The book also includes code snippets in R to demonstrate how to implement the concepts in practice. this book is a valuable resource for anyone looking to gain a deeper understanding of probabilistic calculus in the context of financial engineering.

This edition retains the full content with the added advantage of portability, allowing readers to easily access and engage with the material from any device, whether in a classroom or during fieldwork.