IDEAS home Printed from https://ideas.repec.org/a/spr/etbull/v7y2019i1d10.1007_s40505-018-0151-x.html
   My bibliography  Save this article

Economic and financial modeling techniques in the frequency domain

Author

Listed:
  • Bart Taub

    (University of Glasgow)

Abstract

I provide some results on continuous-time frequency domain methods that can be used in dynamic models of noisy information and strategic behavior, including Fourier transform methods, spectral factorization, and some notes on numerical implementation.

Suggested Citation

  • Bart Taub, 2019. "Economic and financial modeling techniques in the frequency domain," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 7(1), pages 1-17, May.
  • Handle: RePEc:spr:etbull:v:7:y:2019:i:1:d:10.1007_s40505-018-0151-x
    DOI: 10.1007/s40505-018-0151-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40505-018-0151-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40505-018-0151-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ball, J. A. & Taub, B., 1991. "Factoring spectral matrices in linear-quadratic models," Economics Letters, Elsevier, vol. 35(1), pages 39-44, January.
    2. Taub, B., 1997. "Optimal policy in a model of endogenous fluctuations and assets," Journal of Economic Dynamics and Control, Elsevier, vol. 21(10), pages 1669-1697, August.
    3. B. Taub, "undated". "Dynamic Agency with Feedback," Computing in Economics and Finance 1997 40, Society for Computational Economics.
    4. Bart Taub, 2018. "Inconspicuousness and obfuscation: how large shareholders dynamically manipulate output and information for trading purposes," Annals of Finance, Springer, vol. 14(4), pages 429-464, November.
    5. Bart Taub, 1997. "Dynamic Agency with Feedback," RAND Journal of Economics, The RAND Corporation, vol. 28(3), pages 515-543, Autumn.
    6. P. Seiler & B. Taub, 2008. "The dynamics of strategic information flows in stock markets," Finance and Stochastics, Springer, vol. 12(1), pages 43-82, January.
    7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    8. Back, Kerry, 1992. "Insider Trading in Continuous Time," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 387-409.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2020. "A Stationary Kyle Setup: Microfounding propagator models," Working Papers hal-03016486, HAL.
    2. Michele Vodret & Iacopo Mastromatteo & Bence Tóth & Michael Benzaquen, 2021. "A Stationary Kyle Setup: Microfounding propagator models," Post-Print hal-03016486, HAL.
    3. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2020. "A Stationary Kyle Setup: Microfounding propagator models," Papers 2011.10242, arXiv.org, revised Feb 2021.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dan Bernhardt & P. Seiler & B. Taub, 2010. "Speculative dynamics," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 44(1), pages 1-52, July.
    2. Sastry, Ravi & Thompson, Rex, 2019. "Strategic trading with risk aversion and information flow," Journal of Financial Markets, Elsevier, vol. 44(C), pages 1-16.
    3. Bart Taub, 2018. "Inconspicuousness and obfuscation: how large shareholders dynamically manipulate output and information for trading purposes," Annals of Finance, Springer, vol. 14(4), pages 429-464, November.
    4. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    5. Liu, Hong & Qi, Lina & Li, Zaili, 2019. "Insider trading, representativeness heuristic insider, and market regulation," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 48-64.
    6. Medrano, Luis Angel & Vives, Xavier, 2001. "Strategic Behavior and Price Discovery," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 221-248, Summer.
    7. Hong, Harrison & Rady, Sven, 2002. "Strategic trading and learning about liquidity," Journal of Financial Markets, Elsevier, vol. 5(4), pages 419-450, October.
    8. Kim, Donghan & Kim, Jun Sik & Seo, Sung Won, 2018. "What options to trade and when: Evidence from seasoned equity offerings," Journal of Financial Markets, Elsevier, vol. 37(C), pages 70-96.
    9. Bernhardt, Dan & Hughson, Eric, 2002. "Intraday trade in dealership markets," European Economic Review, Elsevier, vol. 46(9), pages 1697-1732, October.
    10. Luciano Campi & Umut c{C}etin & Albina Danilova, 2012. "Dynamic Markov bridges motivated by models of insider trading," Papers 1202.2980, arXiv.org.
    11. Umut c{C}etin & Albina Danilova, 2014. "Markovian Nash equilibrium in financial markets with asymmetric information and related forward-backward systems," Papers 1407.2420, arXiv.org, revised Sep 2016.
    12. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    13. Luca Anderlini & Dino Gerardi & Roger Lagunoff, 2012. "Communication and Learning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(2), pages 419-450.
    14. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    15. Han, Jinhui & Li, Xiaolong & Ma, Guiyuan & Kennedy, Adrian Patrick, 2023. "Strategic trading with information acquisition and long-memory stochastic liquidity," European Journal of Operational Research, Elsevier, vol. 308(1), pages 480-495.
    16. Bjonnes, Geir Hoidal & Rime, Dagfinn, 2005. "Dealer behavior and trading systems in foreign exchange markets," Journal of Financial Economics, Elsevier, vol. 75(3), pages 571-605, March.
    17. Reda Chhaibi & Ibrahim Ekren & Eunjung Noh & Lu Vy, 2022. "A unified approach to informed trading via Monge-Kantorovich duality," Papers 2210.17384, arXiv.org.
    18. Li, Tao, 2007. "Heterogeneous beliefs, asset prices, and volatility in a pure exchange economy," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1697-1727, May.
    19. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    20. José Mª Corcuera & Peter Imkeller & Arturo Kohatsu & David Nualart, 2003. "Additional utility of insiders with imperfect dynamical information," Economics Working Papers 675, Department of Economics and Business, Universitat Pompeu Fabra.

    More about this item

    Keywords

    Continuous time stochastic control; Frequency domain; Fourier transform methods; Spectral factorization;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:etbull:v:7:y:2019:i:1:d:10.1007_s40505-018-0151-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.