IDEAS home Printed from https://ideas.repec.org/p/ekd/006356/6920.html
   My bibliography  Save this paper

Shadow banking dynamics and learning behaviour

Author

Listed:
  • Duc Pham-Hi

Abstract

Shadow "banks" are unidentified entities operating in the financial sphere, in different countries. Therefore their lending and borrowing activities must be based on some rationally determined interest rate. We make the hypothesis that it is determined by a Reinforced Learning process and try to model this behaviour alongside a classic CCLM/DSGE model. This is a follow-up from the presentation made at EcoMod July 2012 Seville "A Markov random model of Interbank Dynamics with Filtering and Learning". We go farther in the implementation of the model. Starting from a DSGE equilibrium, forward simulations are made using Sequential Monte Carlo and interacting particle systems technique. Loopbacks are made with RL equations implemented in a dozen of heterogenous agents as "shadow bankers", each with own set of utility preferences and learning capacities. Tentatively, it appears that in a interbank liquidity shortage environment, the "shadow entities" will split up into 2 categories according to risk aversion and learning speed and their own size. I will upload a first version of the paper in February.

Suggested Citation

  • Duc Pham-Hi, 2014. "Shadow banking dynamics and learning behaviour," EcoMod2014 6920, EcoMod.
    • Handle: RePEc:ekd:006356:6920
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/EcoMod-2014-full-Duc%20Phamhi-3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kirill Sosunov & Oleg Zamulin, 2007. "Monetary Policy in an Economy Sick with Dutch Disease," Working Papers w0101, New Economic School (NES).
    2. Neil Shephard & Thomas Flury, 2009. "Learning and filtering via simulation: smoothly jittered particle filters," Economics Series Working Papers 469, University of Oxford, Department of Economics.
    3. Menon, Jayant, 2009. "Managing Success in Viet Nam: Macroeconomic Consequences of Large Capital Inflows with Limited Policy Tools," Working Papers on Regional Economic Integration 27, Asian Development Bank.
    Full references (including those not matched with items on IDEAS)

    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. Dobronravova, Elizaveta (Добронравова, Елизавета), 2018. "Monetary Policy Peculiarities in Countries with Natural Resources, with Significant Changes in Terms of Trade [Особенности Монетарной Политики В Странах, Наделенных Природными Ресурсами, При Значит," Working Papers 031811, Russian Presidential Academy of National Economy and Public Administration.
    2. Mohamed Tahar Benkhodja, 2011. "Monetary Policy and the Dutch Disease in a Small Open Oil Exporting Economy," Working Papers 1134, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Замулин О.А. & Платонов К.Е., 2015. "Протекционизм Как Противоциклическая Политика," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(3), pages 3-18, июль.
    4. repec:zbw:bofitp:2015_003 is not listed on IDEAS
    5. Andras Fulop & Junye Li & Jun Yu, 2012. "Investigating Impacts of Self-Exciting Jumps in Returns and Volatility: A Bayesian Learning Approach," Global COE Hi-Stat Discussion Paper Series gd12-264, Institute of Economic Research, Hitotsubashi University.
    6. Somayeh Mardaneh, 2012. "Inflation Dynamics in a Dutch Disease Economy," Discussion Papers in Economics 12/25, Division of Economics, School of Business, University of Leicester.
    7. Jayant Menon, 2021. "ASEAN’s newer member countries in two financial crises: Impact, response and lessons," Departmental Working Papers 2021-27, The Australian National University, Arndt-Corden Department of Economics.
    8. Andras Fulop & Junye Li & Jun Yu, 2011. "Bayesian Learning of Impacts of Self-Exciting Jumps in Returns and Volatility," Working Papers CoFie-10-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    9. Oxana Malakhovskaya & Alexey Minabutdinov, 2014. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 148-180.
    10. Yulia Vymyatnina, 2014. "Spillover Effects in the Customs Union of Russia, Kazakhstan and Belarus," EcoMod2014 7160, EcoMod.
    11. Mironov, Valeriy V. & Petronevich, Anna V., 2015. "Discovering the signs of Dutch disease in Russia," Resources Policy, Elsevier, vol. 46(P2), pages 97-112.
    12. Mustapha K. Nabli, 2011. "The Great Recession and Developing Countries : Economic Impact and Growth Prospects," World Bank Publications - Books, The World Bank Group, number 2539.
    13. Andrej Drygalla, 2023. "Monetary policy in an oil-dependent economy in the presence of multiple shocks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(1), pages 185-214, February.
    14. Jean-Pierre Allegret & Mohamed Tahar Benkhodja, 2014. "The Dutch disease effect in a high versus low oil dependent countries," Post-Print hal-01385965, HAL.
    15. Md Gyasuddin Ansari & Rudra Sensarma, 2022. "What Explains Excess Liquidity of Banks? Empirical Evidence from India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(4), pages 477-503, December.
    16. Рубинштейн Александр Яковлевич, "undated". "Рациональность & Иррациональность: Эволюция Смыслов [Rationality & Irrationality: Evolution of the Senses]," Working papers a:pru175:ye:2017:1, Institute of Economics.
    17. Ruslan Aliyev, 2012. "Monetary Policy in Resource-Rich Developing Economies," CERGE-EI Working Papers wp466, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    18. Shulgin, Andrei, 2014. "How much monetary policy rules do we need to estimate DSGE model for Russia?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 3-31.
    19. Chuku Chuku, 2020. "Monetary policy options for managing resource revenue shocks when fiscal policy is laissez-faire," Economic Change and Restructuring, Springer, vol. 53(1), pages 113-138, February.
    20. Shulgin, A., 2017. "Two-Dimensional Monetary Policy Shocks in DSGE-Model Estimated for Russia," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 75-115.
    21. Mai, Nhat Chi, 2016. "Monetary policies and the macroeconomic performance of Vietnam," OSF Preprints akzy4, Center for Open Science.

    More about this item

    Keywords

    Global EU; Modeling: new developments; Agent-based modeling;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ekd:006356:6920. 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: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.html .

    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.