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The dynamic interactions among the stock, bond and insurance markets

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  • Lee, Chien-Chiang
  • Huang, Wei-Ling
  • Yin, Chun-Hao

Abstract

This paper explores the lead–lag relationships and the dynamic linkages among stock, insurance and bond markets in the developed countries. This is the first empirical study which sheds light on the extent and magnitude of the association among these financial markets used by the Granger causality test of Toda and Yamamoto (1995), generalized impulse response approach, and generalized variance decomposition in a multivariate setting. Our empirical results illustrate that there are indeed various patterns of dynamic relationships. The direction of causality appears to differ across countries. While investigating these interactive relationships under unexpected shocks, there is a one-way significant influence between the life insurance premium and long-run interest rate. These empirical findings serve as valuable applications not only for investors to diversify their risk away as well as to earn the abnormal return, but also for policy-makers to allocate resources more efficiently.

Suggested Citation

  • Lee, Chien-Chiang & Huang, Wei-Ling & Yin, Chun-Hao, 2013. "The dynamic interactions among the stock, bond and insurance markets," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 28-52.
  • Handle: RePEc:eee:ecofin:v:26:y:2013:i:c:p:28-52
    DOI: 10.1016/j.najef.2013.04.003
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    1. repec:eee:quaeco:v:66:y:2017:i:c:p:136-148 is not listed on IDEAS
    2. Bekiros, Stelios, 2014. "Nonlinear causality testing with stepwise multivariate filtering: Evidence from stock and currency markets," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 336-348.
    3. 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.
    4. Zhang, Tai-Wei & Wu, Wei-Hwa, 2014. "The asymmetric predictability of high-yield bonds," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 146-155.
    5. Scholz, Michael & Sperlich, Stefan & Nielsen, Jens Perch, 2016. "Nonparametric long term prediction of stock returns with generated bond yields," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 82-96.
    6. Avdoulas, Christos & Bekiros, Stelios & Boubaker, Sabri, 2016. "Detecting nonlinear dependencies in eurozone peripheral equity markets: A multistep filtering approach," Economic Modelling, Elsevier, vol. 58(C), pages 580-587.
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    8. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    9. Lee, Chien-Chiang & Yang, Shih-Jui & Chang, Chi-Hung, 2014. "Non-interest income, profitability, and risk in banking industry: A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 48-67.
    10. Idrissa Ouedraogo & Samuel Guerineau & Relwende Sawadogo, 2016. "Life Insurance Development and Economic Growth: Evidence from Developing Countries," Working Papers halshs-01385002, HAL.
    11. Rudra P. Pradhan & Mak B. Arvin & Sara E. Bennett & Mahendhiran Nair & John H. Hall, 2016. "Bond Market Development, Economic Growth and Other Macroeconomic Determinants: Panel VAR Evidence," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 23(2), pages 175-201, June.
    12. Ralph Yang-Cheng Lu & Hsiu-Chuan Lee & Peter Chiu, 2014. "Institutional Investor Sentiment and Market Returns: Evidence from the Taiwan Futures Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 140-167, December.
    13. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2013. "Dynamic relationships between industry returns and stock market returns," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 119-144.
    14. Pradhan, Rudra P. & Arvin, Mak B. & Hall, John H. & Bahmani, Sahar, 2014. "Causal nexus between economic growth, banking sector development, stock market development, and other macroeconomic variables: The case of ASEAN countries," Review of Financial Economics, Elsevier, vol. 23(4), pages 155-173.
    15. Jammazi, Rania & Tiwari, Aviral Kr. & Ferrer, Román & Moya, Pablo, 2015. "Time-varying dependence between stock and government bond returns: International evidence with dynamic copulas," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 74-93.
    16. 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.
    17. Ya-Hui Huang & Chien-Chiang Lee & Chun-Ping Chang, 2016. "Medical Personnel and Life Expectancy: New Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1425-1447, September.
    18. Lee, Hsiu-Chuan & Chang, Shu-Lien, 2013. "Spillovers of currency carry trade returns, market risk sentiment, and U.S. market returns," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 197-216.
    19. Yang, Lu & Hamori, Shigeyuki, 2015. "Interdependence between the bond markets of CEEC-3 and Germany: A wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 32(C), pages 124-138.
    20. Hu, Jin-Li & Yu, Hsueh-E, 2014. "Risk management in life insurance companies: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 185-199.
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    More about this item

    Keywords

    Insurance market; Stock market; Bond market; Granger causality test; Generalized impulse response;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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