Skip to main content

An Introduction to Optimal Control of FBSDE with Incomplete Information

  • Book
  • © 2018

Overview

  • Introduces new backward separation approach with maximum principle and optimal filtering
  • Many worked-out examples included to help the reader understand theories
  • Provides a concise introduction to forward-backward stochastic differential equations
  • Useful to practitioners in the fields of financial engineering and actuarial science as well as students

Part of the book series: SpringerBriefs in Mathematics (BRIEFSMATH)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 19.99 USD 44.99
56% discount Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 29.99 USD 59.99
50% discount Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (5 chapters)

Keywords

About this book

This book focuses on maximum principle and verification theorem for incomplete information forward-backward stochastic differential equations (FBSDEs) and their applications in linear-quadratic optimal controls and mathematical finance.  ​Lots of interesting phenomena arising from the area of mathematical finance can be described by FBSDEs. Optimal control problems of FBSDEs are theoretically important and practically relevant. A standard assumption in the literature is that the stochastic noises in the model are completely observed. However, this is rarely the case in real world situations. The optimal control problems under complete information are studied extensively. Nevertheless, very little is known about these problems when the information is not complete. The aim of this book is to fill this gap.

This book is written in a style suitable for graduate students and researchers in mathematics and engineering with basic knowledge of stochastic process, optimal control and mathematical finance.


Reviews

“The book is well written and, as the authors mention in the preface, it is suitable for graduate students in mathematics and engineering with basic knowledge of stochastic process, optimal control, and mathematical finance. It is an interesting contribution to the literature on backward and forward-backward stochastic differential equations … .” (Sorin-Mihai Grad, zbMATH 1400.49001, 2019)

Authors and Affiliations

  • School of Control Science and Engineering, Shandong University, Jinan, China

    Guangchen Wang

  • School of Mathematics, Shandong University, Jinan, China

    Zhen Wu

  • Department of Mathematics, Southern University of Science and Technology, Shenzhen, China

    Jie Xiong

Bibliographic Information

Publish with us