IDEAS home Printed from https://ideas.repec.org/p/gii/giihei/heidwp01-2022.html
   My bibliography  Save this paper

Liquidity Risk and Interdependence in Payment Systems: The Case of Peru

Author

Listed:
  • Jushua Baldoceda

    (Central Reserve Bank of Peru)

  • Anthony Meza

    (Central Reserve Bank of Peru)

Abstract

The failure of a financial institution (banks and microfinance institutions) to meet its payment obligations can have implications, not only for its continuity, but also for the stability of payment systems, markets, and the financial system in general. Central banks, as monetary authorities, regulators, and overseers of a country's payment infrastructures must monitor the liquidity risk of participants in those systems in order to prevent in time any event of this nature. To do this, the liquidity needs of the entities must be identified and anticipated to mitigate the possible effects of their inability to pay and the possible consequences on the payment systems. This paper reviews the literature on liquidity risks and their systemic consequences. It also presents different indicators of liquidity and interdependence built with the transactional data of the RTGS System, administered by the Central Reserve Bank of Peru. These indicators are contrasted with the participant's intraday facilities operations in the RTGS (from Jan-2010 to Nov-2021), in order to assess the liquidity problem and its consequences from a systemic point of view.

Suggested Citation

  • Jushua Baldoceda & Anthony Meza, 2022. "Liquidity Risk and Interdependence in Payment Systems: The Case of Peru," IHEID Working Papers 01-2022, Economics Section, The Graduate Institute of International Studies.
    • Handle: RePEc:gii:giihei:heidwp01-2022
    as

    Download full text from publisher

    File URL: http://repec.graduateinstitute.ch/pdfs/Working_papers/HEIDWP01-2022.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Evangelos Benos & Rodney J. Garratt & Peter Zimmerman, 2014. "The Role of Counterparty Risk in CHAPS Following the Collapse of Lehman Brothers," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 143-172, December.
    2. Heuver, Richard A. & Berndsen, Ron J., 2022. "Liquidity coverage ratio in a payment network: Uncovering contagion paths," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    3. Morten L. Bech & Rodney J. Garratt, 2012. "Illiquidity in the Interbank Payment System Following Wide‐Scale Disruptions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(5), pages 903-929, August.
    4. Rodney J. Garratt, 2022. "An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1875-1888, September.
    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. Benos, Evangelos & Ferrara, Gerardo & Gurrola-Perez, Pedro, 2017. "The impact of de-tiering in the United Kingdom’s large-value payment system," Bank of England working papers 676, Bank of England.
    2. Biliana Alexandrova Kabadjova & Anton Badev & Saulo Benchimol Bastos & Evangelos Benos & Freddy Cepeda- Lopéz & James Chapman & Martin Diehl & Ioana Duca-Radu & Rodney Garratt & Ronald Heijmans & Anne, 2023. "Intraday liquidity around the world," BIS Working Papers 1089, Bank for International Settlements.
    3. Galbiati, Marco & Soramäki, Kimmo, 2011. "An agent-based model of payment systems," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 859-875, June.
    4. Morten L. Bech & Antoine Martin & James J. McAndrews, 2012. "Settlement liquidity and monetary policy implementation—lessons from the financial crisis," Economic Policy Review, Federal Reserve Bank of New York, vol. 18(Mar), pages 3-20.
    5. Q. Farooq Akram & Casper Christophersen, 2017. "Pricing in the Norwegian Interbank Market – the Effects of Liquidity and Implicit Government Support," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(2), pages 165-204, April.
    6. Michel Alexandre & Gilberto Tadeu Lima & Luca Riccetti & Alberto Russo, 2023. "The financial network channel of monetary policy transmission: an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 533-571, July.
    7. Jan Paulick & Ron Berndsen & Martin Diehl & Ronald Heijmans, 2024. "No more tears without tiers? The impact of indirect settlement on liquidity use in TARGET2," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(2), pages 425-458, May.
    8. Rodney J. Garratt, 2022. "An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(6), pages 1875-1888, September.
    9. Bech, Morten L. & Chapman, James T.E. & Garratt, Rodney J., 2010. "Which bank is the "central" bank?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 352-363, April.
    10. Ding Ding & Liyan Han & Libo Yin, 2017. "Systemic risk and dynamics of contagion: a duplex inter-bank network," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1435-1445, September.
    11. Peter Heemeijer & Ronald Heijmans, 2015. "Central bank intervention in large value payment systems: An experimental approach," DNB Working Papers 466, Netherlands Central Bank, Research Department.
    12. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    13. Clara Machado & Carlos León & Miguel Sarmiento & Freddy Cepeda & Orlando Chipatecua & Jorge Cely, 2011. "Riesgo Sistémico Y Estabilidad Del Sistema De Pagos De Alto Valor En Colombia: Análisis Bajo," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(65), pages 106-175, June.
    14. Pablo S. Castro & Ajit Desai & Han Du & Rodney Garratt & Francisco Rivadeneyra, 2021. "Estimating Policy Functions in Payments Systems Using Reinforcement Learning," Staff Working Papers 21-7, Bank of Canada.
    15. Rodney J. Garratt & Zhentong Lu & Phoebe Tian, 2023. "How Banks Create Gridlock to Save Liquidity in Canada's Large Value Payment System," Staff Working Papers 23-26, Bank of Canada.
    16. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.
    17. Financial Stability Committee, Task Force on cross-border Spillover Effects of macroprudential measures & Kok, Christoffer & Reinhardt, Dennis, 2020. "Cross-border spillover effects of macroprudential policies: a conceptual framework," Occasional Paper Series 242, European Central Bank.
    18. Leinonen, Harry, 2009. "Simulation analyses and stress testing of payment networks," Scientific Monographs, Bank of Finland, number 2009_042.
    19. repec:zbw:bofism:2009_042 is not listed on IDEAS
    20. Sabetti, Leonard & Heijmans, Ronald, 2021. "Shallow or deep? Training an autoencoder to detect anomalous flows in a retail payment system," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(2).
    21. Ajit Desai & Jacob Sharples & Anneke Kosse, 2024. "Finding a needle in a haystack: a machine learning framework for anomaly detection in payment systems," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Granular data: new horizons and challenges, volume 61, Bank for International Settlements.

    More about this item

    Keywords

    RTGS; liquidity risk; systemic risk; indicators;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:gii:giihei:heidwp01-2022. 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: Dorina Dobre (email available below). General contact details of provider: https://edirc.repec.org/data/ieheich.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.