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Springer Stochastic Calculus for Finance II - Continuous-Time

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Description

Developed from a two-semester course sequence in the Carnegie Mellon Master's program in Computational Finance, this Springer Finance text provides a comprehensive look at continuous-time models. It is designed for readers who have a foundation in differential and integral calculus along with basic concepts from calculus-based probability. Unlike other advanced texts, this book does not require prior familiarity with measure-theoretic probability. Instead, it informally develops the necessary tools from that subject directly within the pages. With numerous examples, exercises, and references, it serves as a practical resource for students and professionals studying mathematical finance and computational models.

Key Features

This Springer Finance textbook is based on the Carnegie Mellon Master's program in Computational Finance curriculum.

The text includes numerous examples, exercises, and references to support learning and practical application.

It is designed for readers familiar with differential and integral calculus and basic calculus-based probability.

The book provides an informal development of measure-theoretic probability tools within the text itself.

This edition is part of the Springer Finance series and focuses on continuous-time models.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2010
Listed Since
14 June 2010

Barcode

No barcode data available

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