IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20161896.html
   My bibliography  Save this paper

Dynamic balance sheet model with liquidity risk

Author

Listed:
  • Hałaj, Grzegorz

Abstract

Theoretically optimal responses of banks to various liquidity and solvency shocks are modelled. The proposed framework is based on a risk-adjusted return portfolio choice in multiple periods subject to the default risk related either to liquidity or solvency problems. Performance of the model and sensitivity of optimal balance sheet structures to some key parameters of the model are illustrated in a specific calibrated setup. The results of the simulations shed light on the effectiveness of the liquidity and solvency regulation. The flexible implementation of the model and its semi-analytical solvability allows for various easy applications of the framework for the macro-prudential policy analysis. JEL Classification: G21, C61, G11

Suggested Citation

  • Hałaj, Grzegorz, 2016. "Dynamic balance sheet model with liquidity risk," Working Paper Series 1896, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20161896
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1896.en.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Petri Hilli & Matti Koivu & Teemu Pennanen & Antero Ranne, 2007. "A stochastic programming model for asset liability management of a Finnish pension company," Annals of Operations Research, Springer, vol. 152(1), pages 115-139, July.
    2. Bianca Hilberink & L.C.G. Rogers, 2002. "Optimal capital structure and endogenous default," Finance and Stochastics, Springer, vol. 6(2), pages 237-263.
    3. Balasubramanyan, Lakshmi & VanHoose, David D., 2013. "Bank balance sheet dynamics under a regulatory liquidity-coverage-ratio constraint," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 53-67.
    4. Laurent Clerc & Alexis Derviz & Caterina Mendicino & Stephane Moyen & Kalin Nikolov & Livio Stracca & Javier Suarez & Alexandros P. Vardoulakis, 2015. "Capital Regulation in a Macroeconomic Model with Three Layers of Default," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 9-63, June.
    5. Henry, Jérôme & Zimmermann, Maik & Leber, Miha & Kolb, Markus & Grodzicki, Maciej & Amzallag, Adrien & Vouldis, Angelos & Hałaj, Grzegorz & Pancaro, Cosimo & Gross, Marco & Baudino, Patrizia & Sydow, , 2013. "A macro stress testing framework for assessing systemic risks in the banking sector," Occasional Paper Series 152, European Central Bank.
    6. John H. Boyd & Gianni De Nicoló, 2005. "The Theory of Bank Risk Taking and Competition Revisited," Journal of Finance, American Finance Association, vol. 60(3), pages 1329-1343, June.
    7. Gülpinar, Nalan & Pachamanova, Dessislava, 2013. "A robust optimization approach to asset-liability management under time-varying investment opportunities," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2031-2041.
    8. Pieter Klaassen, 1998. "Financial Asset-Pricing Theory and Stochastic Programming Models for Asset/Liability Management: A Synthesis," Management Science, INFORMS, vol. 44(1), pages 31-48, January.
    9. Danielsson, Jon & Jorgensen, Bjorn N. & de Vries, Casper G., 2002. "Incentives for effective risk management," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1407-1425, July.
    10. Ferstl, Robert & Weissensteiner, Alex, 2011. "Asset-liability management under time-varying investment opportunities," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 182-192, January.
    11. Viral V. Acharya, 2003. "Is the International Convergence of Capital Adequacy Regulation Desirable?," Journal of Finance, American Finance Association, vol. 58(6), pages 2745-2782, December.
    12. Kosuke Aoki & Nao Sudo, 2013. "Bank’s regulation, asset portfolio choice of banks, and macroeconomic dynamics," CARF F-Series CARF-F-323, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    13. Birge, John R. & Júdice, Pedro, 2013. "Long-term bank balance sheet management: Estimation and simulation of risk-factors," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4711-4720.
    14. Mr. Daniel C Hardy, 2013. "Bank Resolution Costs, Depositor Preference, and Asset Encumbrance," IMF Working Papers 2013/172, International Monetary Fund.
    15. M. H. A. Davis & A. R. Norman, 1990. "Portfolio Selection with Transaction Costs," Mathematics of Operations Research, INFORMS, vol. 15(4), pages 676-713, November.
    16. M. I. Kusy & W. T. Ziemba, 1986. "A Bank Asset and Liability Management Model," Operations Research, INFORMS, vol. 34(3), pages 356-376, June.
    17. Hałaj, Grzegorz & Hüser, Anne-Caroline & Kok, Christoffer & Perales, Cristian & van der Kraaij, Anton, 2016. "Systemic Implications of the European Bail-In Tool: a Multi-Layered Network Analysis," Financial Stability Review, European Central Bank, vol. 1.
    18. Andrew Ang & Bingxu Chen & Suresh Sundaresan, 2013. "Liability Investment with Downside Risk," NBER Working Papers 19030, National Bureau of Economic Research, Inc.
    19. Matthieu Darracq Pariès & Christoffer Kok Sørensen & Diego Rodriguez-Palenzuela, 2011. "Macroeconomic Propagation under Different Regulatory Regimes: Evidence from an Estimated DSGE Model for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 49-113, December.
    20. G. Consigli & M. Dempster, 1998. "Dynamic stochastic programmingfor asset-liability management," Annals of Operations Research, Springer, vol. 81(0), pages 131-162, June.
    21. Ronald A. Howard & James E. Matheson, 1972. "Risk-Sensitive Markov Decision Processes," Management Science, INFORMS, vol. 18(7), pages 356-369, March.
    22. Elyasiani, Elyas & Kopecky, Kenneth J & VanHoose, David, 1995. "Costs of Adjustment, Portfolio Separation, and the Dynamic Behavior of Bank Loans and Deposits," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 955-974, November.
    23. repec:bla:ecnote:v:32:y:2003:i:2:p:197-217 is not listed on IDEAS
    24. Haibin Zhu, 2008. "Capital Regulation and Banks' Financial Decisions," International Journal of Central Banking, International Journal of Central Banking, vol. 4(1), pages 165-211, March.
    25. Baltensperger, Ernst, 1980. "Alternative approaches to the theory of the banking firm," Journal of Monetary Economics, Elsevier, vol. 6(1), pages 1-37, January.
    26. Hałaj, Grzegorz, 2013. "Optimal asset structure of a bank - bank reactions to stressful market conditions," Working Paper Series 1533, European Central Bank.
    27. Cuoco, Domenico & Liu, Hong, 2006. "An analysis of VaR-based capital requirements," Journal of Financial Intermediation, Elsevier, vol. 15(3), pages 362-394, July.
    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. Jane E. Ihrig & Edward Kim & Cindy M. Vojtech & Gretchen C. Weinbach, 2019. "How Have Banks Been Managing the Composition of High-Quality Liquid Assets?," Review, Federal Reserve Bank of St. Louis, vol. 101(3).
    2. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    3. Grzegorz Halaj & Sofia Priazhkina, 2021. "Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions," Staff Working Papers 21-35, Bank of Canada.
    4. Calimani, Susanna & Hałaj, Grzegorz & Żochowski, Dawid, 2022. "Simulating fire sales in a system of banks and asset managers," Journal of Banking & Finance, Elsevier, vol. 138(C).
    5. Júdice, Pedro & Zhu, Qiji Jim, 2021. "Bank balance sheet risk allocation," Journal of Banking & Finance, Elsevier, vol. 133(C).

    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. Grzegorz Haᴌaj & Christoffer Kok, 2015. "Modelling the emergence of the interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 653-671, April.
    2. Libo Yin & Liyan Han, 2013. "Options strategies for international portfolios with overall risk management via multi-stage stochastic programming," Annals of Operations Research, Springer, vol. 206(1), pages 557-576, July.
    3. Jane E. Ihrig & Edward Kim & Cindy M. Vojtech & Gretchen C. Weinbach, 2019. "How Have Banks Been Managing the Composition of High-Quality Liquid Assets?," Review, Federal Reserve Bank of St. Louis, vol. 101(3).
    4. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2017. "Global banking and the conduct of macroprudential policy in a monetary union," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 306-331.
    5. Nalan Gülpınar & Dessislava Pachamanova & Ethem Çanakoğlu, 2016. "A robust asset–liability management framework for investment products with guarantees," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 1007-1041, October.
    6. Matthieu Darracq Paries, 2018. "Financial frictions and monetary policy conduct," Erudite Ph.D Dissertations, Erudite, number ph18-01 edited by Ferhat Mihoubi.
    7. Grzegorz Halaj & Sofia Priazhkina, 2021. "Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions," Staff Working Papers 21-35, Bank of Canada.
    8. Dean Corbae & Pablo D'Erasmo, 2014. "Capital requirements in a quantitative model of banking industry dynamics," Working Papers 14-13, Federal Reserve Bank of Philadelphia.
    9. Clancy, Daragh & Merola, Rossana, 2017. "Countercyclical capital rules for small open economies," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 332-351.
    10. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    11. ManMohan S. Sodhi, 2005. "LP Modeling for Asset-Liability Management: A Survey of Choices and Simplifications," Operations Research, INFORMS, vol. 53(2), pages 181-196, April.
    12. T. Bennani & C. Couaillier & A. Devulder & S. Gabrieli & J. Idier & P. Lopez & T. Piquard & V. Scalone, 2017. "An analytical framework to calibrate macroprudential policy," Working papers 648, Banque de France.
    13. Duarte, Thiago B. & Valladão, Davi M. & Veiga, Álvaro, 2017. "Asset liability management for open pension schemes using multistage stochastic programming under Solvency-II-based regulatory constraints," Insurance: Mathematics and Economics, Elsevier, vol. 77(C), pages 177-188.
    14. Hong‐Chih Huang, 2010. "Optimal Multiperiod Asset Allocation: Matching Assets to Liabilities in a Discrete Model," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 451-472, June.
    15. David VanHoose, 2013. "Implications of Shifting Retail Market Shares for Loan Monitoring in a Dominant-Bank Model," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(3), pages 291-316, July.
    16. Benchimol, Jonathan & Bozou, Caroline, 2024. "Desirable banking competition and stability," Journal of Financial Stability, Elsevier, vol. 73(C).
    17. Hakenes, Hendrik & Schnabel, Isabel, 2011. "Bank size and risk-taking under Basel II," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1436-1449, June.
    18. Yehning Chen & Iftekhar Hasan, 2011. "Subordinated Debt, Market Discipline, and Bank Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(6), pages 1043-1072, September.
    19. Darracq Pariès, Matthieu & Körner, Jenny & Papadopoulou, Niki, 2019. "Empowering central bank asset purchases: The role of financial policies," Working Paper Series 2237, European Central Bank.
    20. Agénor, P.-R. & Alper, K. & Pereira da Silva, L., 2012. "Capital requirements and business cycles with credit market imperfections," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 687-705.

    More about this item

    Keywords

    asset structure; banking; optimal portfolio;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:ecb:ecbwps:20161896. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.