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Global Financial Crisis And Unit-Linked Insurance Markets Efficiency: Empirical Evidence From Central And Eastern European Countries

Author

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  • Ciumas Cristina

    () (Babes-Bolyai University, Department of Finance, Faculty of Economics and Business Administration)

  • Chis Diana-Maria

    () (Babes-Bolyai University, Department of Finance, Faculty of Economics and Business Administration)

  • Botos Horia Mircea

    () (Babes-Bolyai University, Department of Finance, Faculty of Economics and Business Administration)

Abstract

This paper empirically investigates the impact of the Global financial crisis on the efficiency of four Central and Eastern European emerging unit-linked insurance markets, applying the automatic variance ratio (AVR) test of Kim (2009) and variance ratio tests using ranks and signs by Wright (2000) for entire, pre-crisis and crisis periods. This study contributes to the existing literature on efficient market hypothesis with several distinct features: it provides a systematic review of the weak-form market efficiency literature that examines return predictability of the daily ING unit-linked funds prices; also the article aims at monitoring any improvement in the degree of efficiency in time and also examines the relative efficiency of unit-linked insurance markets in pre-crisis and crisis periods. Unit linked insurance are life insurance policies with investment component. In the literature there are few studies investigating the effects of a financial crisis on the potential of predictability and implicitly on the degree of efficiency of financial markets. The occurrence of a market crash or financial crisis is a possible contributing factor of market inefficiency. Most of the studies are focused on the Asian crisis in 1997: Holden et al. (2005) examined the weak-form efficiency of eight emerging Asian stock markets using VR tests before, during and after the Asian crisis; Kim and Shamsuddin (2008) used three different types of multiple VR tests for nine Asian stock markets; the findings reported by Lim et al. (2008) are consistent with those reported by Cheong et al. (2007), in which the highest inefficiency occurs during the crisis period. Todea and Lazar (2010) investigated the effects of the Global crisis on the relative efficiency of ten CEE stock markets, using Generalized Spectral test of Escanciano and Velasco (2006). Wright (2000) proposes the alternative non-parametric variance ratio tests using ranks and signs of return and demonstrates that they may have better power properties than other variance ratio tests. Kim (2009) found that the wild bootstrap AVR significantly improves the size and power properties of the AVR test. Using the bootstrapped automatic VR test developed by Kim (2009) and Wright'(tm)s test, the statistical findings show that the degree of the markets'(tm) inefficiency varies through time and surprisingly the empirical results suggest that the Global crisis led to a decrease of predictability and hence to an improvement of relative efficiency for five of the eight ING funds.

Suggested Citation

  • Ciumas Cristina & Chis Diana-Maria & Botos Horia Mircea, 2012. "Global Financial Crisis And Unit-Linked Insurance Markets Efficiency: Empirical Evidence From Central And Eastern European Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 443-448, December.
  • Handle: RePEc:ora:journl:v:1:y:2012:i:2:p:443-448
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    References listed on IDEAS

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    1. Amélie Charles & Olivier Darné, 2009. "Variance-Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    2. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    3. Nikola Gradojević & Vladimir Djaković & Goran Andjelić, 2010. "Random Walk Theory and Exchange Rate Dynamics in Transition Economies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 303-320, September.
    4. Amélie Charles & Olivier Darné & Jessica Fouilloux, 2010. "Testing the Martingale Difference Hypothesis in the EU ETS Markets for the CO2 Emission Allowances: Evidence from Phase I and Phase II," Working Papers hal-00473727, HAL.
    5. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
    6. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    7. Alexandru Todea & Dorina Lazar, 2012. "Global Crisis and Relative Efficiency: Empirical Evidence from Central and Eastern European Stock Markets," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 045-053, June.
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    More about this item

    Keywords

    Global financial crisis; unit-linked insurance markets; market efficiency; martingale; variance ratio test;

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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