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The linkage between insurance activity and banking credit: Some evidence from dynamic analysis

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  • Liu, Guanchun
  • He, Lei
  • Yue, Yiding
  • Wang, Jiying

Abstract

This paper investigates the long-run and short-run linkages between insurance activity and banking credit for G-7 countries. To minimize the pretest bias and overcome the structural changes, we adopt the bootstrap Granger causality test applied to full sample and subsamples with a fixed window size. The Johansen cointegration test with GMM-IV estimator finds a long-run positive relation between the series. The full sample results of bootstrap Granger causality test show that there is predictive power from life insurance activity to banking credit only for France and Japan, while the short-run causal relationships between nonlife insurance activity and banking credit are country-specific. However, parameter stability test results suggest that the short-run results in full sample are unreliable. The results of rolling VAR models report that the causal linkages between them are time-varying across various subsamples. These findings offer some useful insights for achieving the co-evolution between insurance and banking credit markets.

Suggested Citation

  • Liu, Guanchun & He, Lei & Yue, Yiding & Wang, Jiying, 2014. "The linkage between insurance activity and banking credit: Some evidence from dynamic analysis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 239-265.
    • Handle: RePEc:eee:ecofin:v:29:y:2014:i:c:p:239-265
    DOI: 10.1016/j.najef.2014.06.014
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    Cited by:

    1. Guan-Chun Liu & Chien-Chiang Lee, 2019. "The relationship between insurance and banking sectors: does financial structure matter?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(4), pages 569-594, October.
    2. Rudra P. Pradhan & Mak B. Arvin & Sahar Bahmani & Sara E. Bennett & John H. Hall, 2017. "Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries," Empirical Economics, Springer, vol. 52(4), pages 1337-1366, June.
    3. Relwendé Sawadogo, 2021. "The relationship between insurance and banking sectors in Sub-Saharan African: Does globalization matter?," Economic Change and Restructuring, Springer, vol. 54(1), pages 101-119, February.
    4. Pradhan, Rudra P. & Arvin, B. Mak & Norman, Neville R. & Nair, Mahendhiran & Hall, John H., 2016. "Insurance penetration and economic growth nexus: Cross-country evidence from ASEAN," Research in International Business and Finance, Elsevier, vol. 36(C), pages 447-458.
    5. Liu, Guanchun & Zhang, Chengsi, 2016. "The dynamic linkage between insurance activities and banking credit: Some new evidence from global countries," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 40-53.
    6. Rudra P. Pradhan & Saurav Dash & Rana Pratap Maradana & Manju Jayakumar & Kunal Gaurav, 2017. "Insurance market density and economic growth in Eurozone countries: the granger causality approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-24, December.
    7. Chen, Pei-Fen & Lin, Chun-Wei & Lee, Chien-Chiang, 2019. "Financial crises, globalization, and insurer performance: Some international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 835-856.
    8. Rudra P. Pradhan, Mak B. Arvin, John H. Hall and Neville R. Norman, 2017. "Insurance Market Development and Macroeconomic Interactions in Twenty-Six Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(4), pages 23-57, December.
    9. Chang, Chi-Hung, 2018. "The dynamic linkage between insurance and banking activities: An analysis on insurance sector assets," Journal of Multinational Financial Management, Elsevier, vol. 46(C), pages 36-50.

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    More about this item

    Keywords

    Insurance activity; Banking credit; Bootstrap Granger causality test; Rolling VAR approach; Time-varying causality;
    All these keywords.

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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