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Asymmetric dynamics of insurance premium: the impact of monetary policy uncertainty on insurance premiums in Japan

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  • Mehmet Balcilar
  • Godwin Oluseye Olasehinde-Williams
  • Muhammad Shahbaz

Abstract

By employing a non-linear autoregressive distributed lag (NARDL) model, this study investigates the effect of monetary policy uncertainty on insurance premium in Japan. Asides the confirmation of a long-run relationship between monetary policy uncertainty, insurance premium and real income, we also find that a positive relationship exists between monetary policy uncertainty and insurance premium. This shows that when economic policy uncertainty increases (decreases) then insurance premiums increases (decreases) in response. Moreover, we discovered that monetary policy uncertainty impacts insurance premium in an asymmetric way, such that negative changes have a bigger effect than positive changes on total insurance premium in Japan. We also found that real income has a significant and positive effect on insurance premium, and that the long run elasticity of insurance premium on real income is smaller than unit. This implies that insurance is a necessity and not a luxury in Japan.

Suggested Citation

  • Mehmet Balcilar & Godwin Oluseye Olasehinde-Williams & Muhammad Shahbaz, 2019. "Asymmetric dynamics of insurance premium: the impact of monetary policy uncertainty on insurance premiums in Japan," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 12(3), pages 233-247.
    • Handle: RePEc:ids:ijmefi:v:12:y:2019:i:3:p:233-247
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    1. Donghui Li & Fariborz Moshirian & Pascal Nguyen & Timothy Wee, 2007. "The Demand for Life Insurance in OECD Countries," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(3), pages 637-652, September.
    2. Christou, Christina & Cunado, Juncal & Gupta, Rangan & Hassapis, Christis, 2017. "Economic policy uncertainty and stock market returns in PacificRim countries: Evidence based on a Bayesian panel VAR model," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 92-102.
    3. Jae Sim & Egon Zakrajsek & Simon Gilchrist, 2010. "Uncertainty, Financial Frictions, and Investment Dynamics," 2010 Meeting Papers 1285, Society for Economic Dynamics.
    4. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    7. Xiao-lin Li & Mehmet Balcilar & Rangan Gupta & Tsangyao Chang, 2016. "The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 674-689, March.
    8. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    9. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    10. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    11. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2012. "Dynamic Co-movements between Stock Market Returns and Policy Uncertainty," MPRA Paper 42905, University Library of Munich, Germany.
    12. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    13. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    14. Bordo, Michael D. & Duca, John V. & Koch, Christoffer, 2016. "Economic policy uncertainty and the credit channel: Aggregate and bank level U.S. evidence over several decades," Journal of Financial Stability, Elsevier, vol. 26(C), pages 90-106.
    15. Saikkonen, Pentti, 2008. "Stability Of Regime Switching Error Correction Models Under Linear Cointegration," Econometric Theory, Cambridge University Press, vol. 24(1), pages 294-318, February.
    16. Jian Chen & Fuwei Jiang & Guoshi Tong, 2017. "Economic policy uncertainty in China and stock market expected returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1265-1286, December.
    17. Rangan Gupta & Amine Lahiani & Chi-Chuan Lee & Chien-Chiang Lee, 2019. "Asymmetric dynamics of insurance premium: the impacts of output and economic policy uncertainty," Empirical Economics, Springer, vol. 57(6), pages 1959-1978, December.
    18. Thorsten Beck & Ian Webb, 2003. "Economic, Demographic, and Institutional Determinants of Life Insurance Consumption across Countries," The World Bank Economic Review, World Bank, vol. 17(1), pages 51-88, June.
    19. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2006. "Testing For Cointegration In Nonlinear Smooth Transition Error Correction Models," Econometric Theory, Cambridge University Press, vol. 22(2), pages 279-303, April.
    20. Lee, Chien-Chiang & Chiu, Yi-Bin, 2012. "The impact of real income on insurance premiums: Evidence from panel data," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 246-260.
    21. Soon-Jae Lee & Soon Il Kwon & Seok Young Chung, 2010. "Determinants of Household Demand for Insurance: The Case of Korea," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(S1), pages 82-91, December.
    22. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    23. Perron, P., 1986. "Tests of Joint Hypotheses for Time Series Regression with a Unit Root," Cahiers de recherche 8632, Universite de Montreal, Departement de sciences economiques.
    24. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
    25. Lee, Chien-Chiang & Lee, Chi-Chuan & Zeng, Jhih-Hong & Hsu, Yu-Ling, 2017. "Peer bank behavior, economic policy uncertainty, and leverage decision of financial institutions," Journal of Financial Stability, Elsevier, vol. 30(C), pages 79-91.
    26. Mehmet Balcilar & Rangan Gupta & Chien-Chiang Lee & Godwin Olasehinde-Williams, 2017. "Economic Policy Uncertainty and Insurance," Working Papers 201776, University of Pretoria, Department of Economics.
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    Cited by:

    1. Lee, Chien-Chiang & Olasehinde-Williams, Godwin & Özkan, Oktay, 2023. "Geopolitical oil price uncertainty transmission into core inflation: Evidence from two of the biggest global players," Energy Economics, Elsevier, vol. 126(C).
    2. Mamadou Bah & Nelson Abila, 2024. "Institutional determinants of insurance penetration in Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(1), pages 138-179, January.
    3. Godwin Olasehinde-Williams & Oktay Özkan, 2022. "Is interest rate uncertainty a predictor of investment volatility? evidence from the wild bootstrap likelihood ratio approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 507-521, July.
    4. Balcilar, Mehmet & Gupta, Rangan & Lee, Chien-Chiang & Olasehinde-Williams, Godwin, 2020. "Insurance and economic policy uncertainty," Research in International Business and Finance, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    monetary policy uncertainty; insurance premiums; NARDL; non-linear autoregressive distributed lag.;
    All these keywords.

    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
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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