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Panel data modeling of bank deposits

Author

Listed:
  • Sofia Costa

    (Universidade NOVA de Lisboa)

  • Marta Faias

    (Universidade NOVA de Lisboa and Centro de Matemática e Aplicações (CMA), NOVA)

  • Pedro Júdice

    (Montepio Bank and ISCTE Business Research Unit)

  • Pedro Mota

    (Universidade NOVA de Lisboa and Centro de Matemática e Aplicações (CMA), NOVA)

Abstract

Studying the dynamics of deposits is important for three reasons: first, it serves as an important component of liquidity stress testing; second, it is crucial to asset-liability management exercises and the allocation between liquid and illiquid assets; third, it is the support for a Liquidity at Risk methodology. Current models are based on $$\textit{AR}(1)$$ AR ( 1 ) processes that often underestimate liquidity risk. Thus, a bank relying on those models may face failure in an event of crisis. We propose an alternative approach for modeling deposits, using panel data and a momentum term. The model enables the simulation of a variety of deposit trajectories, including episodes of financial distress, showing much higher drawdowns and realistic liquidity at risk estimates, as well as density plots that present a wide range of possible values, corresponding to booms and financial crises. Therefore, this methodology is more suitable for liquidity management at banks, as well as for conducting liquidity stress tests.

Suggested Citation

  • Sofia Costa & Marta Faias & Pedro Júdice & Pedro Mota, 2021. "Panel data modeling of bank deposits," Annals of Finance, Springer, vol. 17(2), pages 247-264, June.
    • Handle: RePEc:kap:annfin:v:17:y:2021:i:2:d:10.1007_s10436-020-00373-1
    DOI: 10.1007/s10436-020-00373-1
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    References listed on IDEAS

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    1. Yuzo Honda, 1985. "Testing the Error Components Model with Non-Normal Disturbances," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(4), pages 681-690.
    2. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    5. 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.
    6. Saâd Benbachir & Mohammed Mehdi El Hamzi, 2016. "Non-Maturity Deposit Modeling in the Framework of Asset Liability Management," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(5), pages 79-98, 05-2016.
    7. Jarrow, Robert A. & van Deventer, Donald R., 1998. "The arbitrage-free valuation and hedging of demand deposits and credit card loans," Journal of Banking & Finance, Elsevier, vol. 22(3), pages 249-272, March.
    8. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    9. Alexander Lipton, 2015. "Modern Monetary Circuit Theory, Stability of Interconnected Banking Network, and Balance Sheet Optimization for Individual Banks," Papers 1510.07608, arXiv.org.
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    Keywords

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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