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Dutch Corporate Liquidity Management: New Evidence on Aggregation

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  • W. Allard Bruinshoofd
  • Clemens J. M. Kool

Abstract

In this paper we investigate Dutch corporate liquidity management in general, and target adjustment behaviour in particular. To this purpose, we use a simple error correction model of corporate liquidity holdings applied to firm-level data for the period 1977–1997. We confirm the existence of long-run liquidity targets at the firm level. We also find that changes in liquidity holdings are driven by short-run shocks as well as the urge to converge towards targeted liquidity levels. The rate of target convergence is higher when we include more firm-specific information in the target. This result supports the idea that increased precision in defining liquidity targets associates with a faster observed rate of target convergence. It also suggests that the slow speeds of adjustment obtained in many macro studies on money demand are artefacts of aggregation bias.

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  • W. Allard Bruinshoofd & Clemens J. M. Kool, 2004. "Dutch Corporate Liquidity Management: New Evidence on Aggregation," Journal of Applied Economics, Taylor & Francis Journals, vol. 7(2), pages 195-230, November.
    • Handle: RePEc:taf:recsxx:v:7:y:2004:i:2:p:195-230
    DOI: 10.1080/15140326.2004.12040609
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    2. W. Allard Bruinshoofd & Clemens J. M. Kool, 2004. "Dutch corporate liquidity mangement: New evidence on aggregation," Journal of Applied Economics, Universidad del CEMA, vol. 7, pages 195-230, November.
    3. Allard Bruinshoofd & Leo de Haan, 2005. "Financing the New Economy: Are ICT Firms Really That Different?," DNB Working Papers 077, Netherlands Central Bank, Research Department.
    4. Lalita Anand & M. Thenmozhi & Nikhil Varaiya & Saumitra Bhadhuri, 2018. "Impact of Macroeconomic Factors on Cash Holdings?: A Dynamic Panel Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 27-53, April.
    5. Christopher F. Baum & Dorothea Schäfer & Oleksandr Talavera, 2006. "The Effects of Industry-Level Uncertainty on Cash Holdings: The Case of Germany," Discussion Papers of DIW Berlin 638, DIW Berlin, German Institute for Economic Research.
    6. W. Allard Bruinshoofd & Clemens Kool, 2009. "Nonlinear target adjustment in corporate liquidity management: an endogenous thresholds approach," Applied Economics, Taylor & Francis Journals, vol. 41(17), pages 2125-2131.
    7. Roberto Álvarez & Andrés Sagner & Carla Valdivia, 2012. "Liquidity Crises and Corporate Cash Holdings in Chile," The Developing Economies, Institute of Developing Economies, vol. 50(4), pages 378-392, December.
    8. Bigelli, Marco & Sánchez-Vidal, Javier, 2012. "Cash holdings in private firms," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 26-35.
    9. Dobetz, Wolfgang & Grüninger, Matthias C., 2006. "Corporate cash holdings: Evidence from a different institutional setting," Working papers 2006/06, Faculty of Business and Economics - University of Basel.
    10. Efstathios Magerakis & Konstantinos Gkillas & Christos Floros & George Peppas, 2022. "Corporate R&D intensity and high cash holdings: post-crisis analysis," Operational Research, Springer, vol. 22(4), pages 3767-3808, September.
    11. W. Allard Bruinshoofd & Clemens Kool, 2009. "Nonlinear target adjustment in corporate liquidity management: an endogenous thresholds approach," Applied Economics, Taylor & Francis Journals, vol. 41(17), pages 2125-2131.
    12. Ravinder Kumar Arora, 2019. "Corporate Cash Holdings: An Empirical Investigation of Indian Companies," Global Business Review, International Management Institute, vol. 20(4), pages 1088-1106, August.
    13. Natalia Nehrebecka & Anna Białek-Jaworska, 2016. "Determinanty inwestycji finansowych przedsiębiorstw w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 35-55.

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • G3 - Financial Economics - - Corporate Finance and Governance

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