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The Economics of Continuous-Time Finance

Author

Listed:
  • Dumas, Bernard

    (INSEAD)

  • Luciano, Elisa

    (University of Torino, ICER and Collegio Carlo Alberto)

Abstract

This book introduces the economic applications of the theory of continuous-time finance, with the goal of enabling the construction of realistic models, particularly those involving incomplete markets. Indeed, most recent applications of continuous-time finance aim to capture the imperfections and dysfunctions of financial markets—characteristics that became especially apparent during the market turmoil that started in 2008. The book begins by using discrete time to illustrate the basic mechanisms and introduce such notions as completeness, redundant pricing, and no arbitrage. It develops the continuous-time analog of those mechanisms and introduces the powerful tools of stochastic calculus. Going beyond other textbooks, the book then focuses on the study of markets in which some form of incompleteness, volatility, heterogeneity, friction, or behavioral subtlety arises. After presenting solutions methods for control problems and related partial differential equations, the text examines portfolio optimization and equilibrium in incomplete markets, interest rate and fixed-income modeling, and stochastic volatility. Finally, it presents models where investors form different beliefs or suffer frictions, form habits, or have recursive utilities, studying the effects not only on optimal portfolio choices but also on equilibrium, or the price of primitive securities. The book strikes a balance between mathematical rigor and the need for economic interpretation of financial market regularities, although with an emphasis on the latter.

Suggested Citation

  • Dumas, Bernard & Luciano, Elisa, 2017. "The Economics of Continuous-Time Finance," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262036541, December.
  • Handle: RePEc:mtp:titles:0262036541
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    Citations

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    Cited by:

    1. Nicole El Karoui & Caroline Hillairet & Mohamed Mrad, 2022. "Ramsey rule with forward/backward utility for long-term yield curves modeling," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 375-414, June.
    2. Chowdhury, Rajib & Doukas, John A. & Mandal, Sonik, 2023. "CEO risk preferences, hedging intensity, and firm value," Journal of International Money and Finance, Elsevier, vol. 130(C).
    3. Andrei, Daniel & Carlin, Bruce I., 2023. "Schumpeterian competition in a Lucas economy," Journal of Economic Theory, Elsevier, vol. 208(C).
    4. Chenxu Li & Olivier Scaillet & Yiwen Shen, 2020. "Wealth Effect on Portfolio Allocation in Incomplete Markets," Papers 2004.10096, arXiv.org, revised Aug 2021.
    5. Bernard Dumas & Elisa Luciano, 2019. "From volatility smiles to the volatility of volatility," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 387-406, December.
    6. Oksana Bashchenko & Alexis Marchal, 2020. "Deep Learning for Asset Bubbles Detection," Papers 2002.06405, arXiv.org.
    7. Chenxu Li & O. Scaillet & Yiwen Shen, 2020. "Decomposition of Optimal Dynamic Portfolio Choice with Wealth-Dependent Utilities in Incomplete Markets," Swiss Finance Institute Research Paper Series 20-22, Swiss Finance Institute.

    More about this item

    Keywords

    pricing; securities; trading; stock market; applied mathematics; equilibrium; theory; agent optimization;
    All these keywords.

    JEL classification:

    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • G0 - Financial Economics - - General

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