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  • Book
  • © 2013

Contract Theory in Continuous-Time Models

  • Reviewed by international experts
  • Surveys recent results in a systematic way
  • Enables derivation of many qualitative economic conclusions
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Finance (FINANCE)

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XII
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. Principal–Agent Problem

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 3-6
    3. Single-Period Examples

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 7-14
  3. First Best: Risk Sharing Under Full Information

    1. Front Matter

      Pages 15-15
    2. Linear Models with Project Selection, and Preview of Results

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 17-24
    3. The General Risk Sharing Problem

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 25-43
  4. Second Best: Contracting Under Hidden Action—The Case of Moral Hazard

    1. Front Matter

      Pages 45-45
    2. Mathematical Theory for General Moral Hazard Problems

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 47-84
    3. Special Cases and Applications

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 85-113
  5. Third Best: Contracting Under Hidden Action and Hidden Type—The Case of Moral Hazard and Adverse Selection

    1. Front Matter

      Pages 135-135
    2. Adverse Selection

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 137-153
  6. Backward SDEs and Forward-Backward SDEs

    1. Front Matter

      Pages 155-155
    2. Backward SDEs

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 157-182
    3. Stochastic Maximum Principle

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 183-227
    4. Forward-Backward SDEs

      • Jakša Cvitanić, Jianfeng Zhang
      Pages 229-248
  7. Back Matter

    Pages 249-255

About this book

In recent years there has been a significant increase of interest in continuous-time Principal-Agent models, or contract theory, and their applications. Continuous-time models provide a powerful and elegant framework for solving stochastic optimization problems of finding the optimal contracts between two parties, under various assumptions on the information they have access to, and the effect they have on the underlying "profit/loss" values. This monograph surveys recent results of the theory in a systematic way, using the approach of the so-called Stochastic Maximum Principle, in models driven by Brownian Motion.

Optimal contracts are characterized via a system of Forward-Backward Stochastic Differential Equations. In a number of interesting special cases these can be solved explicitly, enabling derivation of many qualitative economic conclusions.

Reviews

“The book under review provides a complete treatment of the principal-agent problem that covers all cases treated in economic literature … . It is the first of its kind in that it provides a fully developed mathematical framework addressing the principal-agent problem with complete proofs and explanations of all mathematical tools used therein. … The introduction of this book is accessible to a general audience.” (Olympia Hadjiliadis, Bulletin of the American Mathematical Society, Vol. 52 (3), July, 2015)

“The present book presents a nice exposition of the theory of the stochastic maximum principle, starting with BSDEs, and of its applications to contract theory. … I recommend it to anyone working on or teaching the mathematical aspects of contract theory and/or stochastic control.” (Etienne Pardoux, SIAM Review, Vol. 57 (2), June, 2015)

“This book considers contract theory in continuous time. … This book is a good reference book for researchers and graduate students in economic theory, finance and mathematical economics. Continuous-time contract theory is particularly useful in finance. This book provides a basic methodological framework, which can be used to develop further advances, both in applications and in theory.” (Susheng Wang, Mathematical Reviews, August, 2013)

Authors and Affiliations

  • Div. of the Humanities, Social Science, California Institute of Technology, Pasadena, USA

    Jakša Cvitanić

  • Department of Mathematics, University of Southern California, Los Angeles, USA

    Jianfeng Zhang

About the authors

Jakša Cvitanić held positions at Columbia University (Statistics), University of Southern California (Mathematics and Economics), and currently at Caltech (Social Sciences). He has served on the editorial boards of journals in the areas of Financial Mathematics, Applied Probability and Optimization, as well as on the Council of the Bachelier Finance Society. Jianfeng Zhang is currently associate professor at the University of Southern California (Mathematics Department).

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access