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Cross-border workers and financial instability : a frequency domain causality analysis applied to the Luxembourg financial centre

Author

Listed:
  • Vincent Fromentin

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Yamina Tadjeddine

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper aims to examine the causal relationship between workers (cross-border and resident workers) and financial instability in the Luxembourg financial centre, using a Granger causality test in the frequency domain. The evidence shows that cross-border workers are more sensitive to financial shocks than resident workers. In addition to the causal relationship there is a ‘nonlinear' reaction: one smooth in the short term and a second more structural one in the long term.

Suggested Citation

  • Vincent Fromentin & Yamina Tadjeddine, 2019. "Cross-border workers and financial instability : a frequency domain causality analysis applied to the Luxembourg financial centre," Post-Print halshs-02131186, HAL.
    • Handle: RePEc:hal:journl:halshs-02131186
    DOI: 10.1080/13504851.2019.1613496
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    Cited by:

    1. Jonathan Labbé & Mélanie Robert, 2020. "English private equity financing and merger in Luxembourg: study of the cultural forces on the corporate governance of an SME in the Luxembourg financial sector [Financement par capital-investisseu," Post-Print hal-03000142, HAL.
    2. Temel Gurdal & Mucahit Aydin & Veysel Inal, 2021. "The relationship between tax revenue, government expenditure, and economic growth in G7 countries: new evidence from time and frequency domain approaches," Economic Change and Restructuring, Springer, vol. 54(2), pages 305-337, May.
    3. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    4. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    5. Xu, Li & Wang, Xiuli & Wang, Lijun & Zhang, Di, 2022. "Does technological advancement impede ecological footprint level? The role of natural resources prices volatility, foreign direct investment and renewable energy in China," Resources Policy, Elsevier, vol. 76(C).
    6. Vincent FROMENTIN & Joris MICHEL & Sylvain WEBER, 2021. "L’effet des fluctuations financières sur le nombre de travailleurs frontaliers : une analyse comparative du Luxembourg et de la Suisse," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 53, pages 51-68.
    7. Bernd Süssmuth, 2022. "The mutual predictability of Bitcoin and web search dynamics," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 435-454, April.

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