prof. dr. Ron Berndsen

prof. dr. Ron Berndsen

professor

TiSEM: Tilburg School of Economics and Management
TiSEM: Department of Economics

Bio

Personal homepage: https://www.warehousemetaphor.com

Courses

Highlights

PhD Supervision (completed)

Name   PhD formal defense  title PhD thesis
Anneke Kosse 10-March-2014 Consumer payment choices: room for further digitisation?
Carlos  Léon Rincón 23-February-2015 Financial stability from a network perspective
Hans de Heij 7-November-2017 Model for Use-centred design of Banknotes
Ruth  Wandhöfer 7-June-2019 Technology innovation in Financial Markets: Implications for Money, Payments and Settlement
Ron Triepels 13-November-2019 Anomaly Detection in the Shipping and Banking Industry
Richard Heuver 16-September-2020 Applications of liquidity risk discovery using financial market infrastructures

Recent publications

  1. Liquidity coverage ratio in a payment network: Uncovering contagion p…

    Heuver, R. A., & Berndsen, R. (2022). Liquidity coverage ratio in a payment network: Uncovering contagion paths. Latin American Journal of Central Banking, 3(1), Article 100046.
  2. Fundamental questions on central counterparties: A review of the lite…

    Berndsen, R. (2021). Fundamental questions on central counterparties: A review of the literature. Journal of Futures Markets, 41(12), 2009-2022.
  3. Why Is a CCP failure very unlikely?

    McLaughlin, D., & Berndsen, R. (2021). Why Is a CCP failure very unlikely? (CentER Discussion Paper; Vol. 2021-002). CentER, Center for Economic Research.
  4. No more Tears without Tiers? The Impact of Indirect Settlement on liq…

    Paulick, J., Berndsen, R., Diehl, M., & Heijmans, R. (2021). No more Tears without Tiers? The Impact of Indirect Settlement on liquidity use in TARGET2. (CentER Discussion Paper; Vol. 2021-022). CentER, Center for Economic Research.
  5. Monitoring liquidity management of banks with recurrent neural networ…

    Triepels, R., Daniels, H., & Berndsen, R. (2021). Monitoring liquidity management of banks with recurrent neural networks. Computational Economics, 57(1), 89-112.

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