IDEAS home Printed from https://ideas.repec.org/a/bdd/journl/v16y2022i1p1-26.html
   My bibliography  Save this article

Behavioral Modelling of Non-Maturing and Time Deposits in Liquidity Risk Management

Author

Listed:
  • Celal OZTURK
  • Cemal IBIS

Abstract

In this study, deposit volumes have been modelled with macro-economic and financial variables using the Jarrow-Deventer (1998) Model. Core deposits and liquidity term structure, similarly the Kalkbrener-Willing (2014) methodology, have been estimated at 99% confidence level for the next five-year period using the Monte Carlo simulation techniques. The study covers monthly data between January 2012 and December 2019. As a result, empirical evidence indicates that the deposit volumes have been statistically explained with United States (US) Dolar/Turkish Lira foreign exchange rate and market interest rate variables. The results also show that the core deposit ratios of retail are higher than corporate’s. Likewise, it has been proven that time deposits have a higher core ratio than non-maturing deposits and, similarly Turkish currency deposit ratio compared with foreign currency deposit.

Suggested Citation

  • Celal OZTURK & Cemal IBIS, 2022. "Behavioral Modelling of Non-Maturing and Time Deposits in Liquidity Risk Management," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 16(1), pages 1-26.
    • Handle: RePEc:bdd:journl:v:16:y:2022:i:1:p:1-26
    as

    Download full text from publisher

    File URL: https://www.bddk.org.tr/Content/docs/bddkDergiTr/dergi_0031_03.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Liquidity risk; core deposit; behavioral modelling;
    All these keywords.

    JEL classification:

    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:bdd:journl:v:16:y:2022:i:1:p:1-26. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sumeyye Azize CENGIZ (email available below). General contact details of provider: https://edirc.repec.org/data/bddgvtr.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.