IDEAS home Printed from https://ideas.repec.org/p/bcb/wpaper/168.html
   My bibliography  Save this paper

An Integrated Model for Liquidity Management and Short-Term Asset Allocation in Commercial Banks

Author

Listed:
  • Wenersamy Ramos de Alcântara

Abstract

This work develops an integrated model for optimal asset allocation in commercial banks that incorporates uncertain liquidity constraints that are currently ignored by RAROC and EVA models. While the economic profit accounts for the opportunity cost of risky assets, what may even incorporate a market liquidity premium, it neglects the risk of failure due to the lack of sufficient funds to cope with unexpected cash demands arising from bank runs, drawdowns, or market, credit and operational losses, what may happen along with credit rationing episodes or systemic level dry ups. Given a liquidity constraint that can incorporate these factors, there is a failure probability Pf that the constraint will not hold, resulting in a value loss for the bank, represented by a stochastic failure loss . By assuming that bankers are risk neutral in their decision about the size of the liquidity cushion, the economic profit less the possible losses due to the lack of liquidity is optimized, resulting in a short-term asset allocation model that integrates market, credit and operational risks in the liquidity management of banks. Even though a general approach is suggested through simulation, I provide a closed form solution for Pf , under some simplifying assumptions, that may be useful for research and supervision purposes as an indicator of the liquidity management adequacy in the banking system. I also suggest an extreme value theory approach for the estimation of , departing from other liquidity management models that use a penalty rate over the demand of cash that exceeds the availability of liquid resources. The model was applied to Brazilian banks data resulting in gains over the optimization without liquidity considerations that are robust under several tests, giving empirical indications that the model may have a relevant impact on the value creation in banks.

Suggested Citation

  • Wenersamy Ramos de Alcântara, 2008. "An Integrated Model for Liquidity Management and Short-Term Asset Allocation in Commercial Banks," Working Papers Series 168, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:168
    as

    Download full text from publisher

    File URL: http://www.bcb.gov.br/pec/wps/ingl/wps168.pdf
    Download Restriction: no

    More about this item

    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:bcb:wpaper:168. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Francisco Marcos Rodrigues Figueiredo). General contact details of provider: http://www.bcb.gov.br/?english .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.