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An Analysis of Systemic Risk in the Insurance Sector – Evidence from Asia-Pacific Region

  • Masayasu Kanno EMAIL logo
Veröffentlicht/Copyright: 13. Mai 2014

Abstract

This study contributes to the assessment of systemic risk for the insurance sector. We conducted two types of model approaches and scrutinized each insurer’s marginal systemic risk contribution to the entire Asia-Pacific insurance sector during the global financial crisis and thereafter. We applied the hypothetical distress insurance premium as a systemic risk measure by considering the “policyholder protection scheme” of each country and then incorporating the dynamic conditional correlation as the time-dependent, heterogeneous correlation parameter in the premium. Ping An Insurance (Group) Co. of China was only group in the Asia-Pacific region to be selected as a Globally Systemically Important Insurer (G-SII) in July 2013. Ping An Insurance was ranked first based on the marginal contribution of each insurer during the global financial crisis, and thereafter it was also ranked first based on recent data; therefore, we validated the G-SII’s selection. We propose these model approaches to be used in a mutually complementary manner as selection approaches for G-SIIs and risk management tools for insurers.

Acknowledgments

The author received a research grant from Ishii Memorial Securities Research Promotion Foundation, Japan. He sincerely appreciates this assistance.

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  1. 1

    In China, the direct loan transactions between private companies are prohibited by the law.

  2. 2

    The number shown in parentheses indicates the weight.

  3. 3

    The Credit Research Initiative (CRI) is a non-profit undertaking by the Risk Management Institute at National University of Singapore (NUS), which seeks to promote research and development in the critical area of credit risk. The foundation of the CRI is the probability of default (PD) model, which has been developed using a database of about 60,400 listed firms in the Asia-Pacific, North America, Europe, Latin America, the Middle East, and Africa. They present PDs from this model at the web portal http://www.rmicri.org/. Refer to Duan et al. (2012) and Oliver (2011) for the model’s details.

  4. 4

    This is a kind of risk contribution. For details, refer to Kanno (2010, 174–76).

  5. 5

    For reference, Huang, Zhou, and Zhu (2012a) treated systemic risk of the banking sector in the Asia-Pacific region excluding Japan and set the threshold at 10%. In contrast, in consideration of a feature that insurance liabilities are provisions against future insurance accidents or benefits, we set the threshold at 5% conservatively.

  6. 6

    Note that we calculated not the correlation matrix for the DCCs but the pairwise correlations from DCC time series owing to the technical specification of the software we used.

  7. 7

    This index, calculated and published by a Japanese newspaper company, Nikkei Inc., is the predictive volatility of the Nikkei Average Stock Price for one month forward and is similar to the VIX published by CBOE which is regarded as the “market gauge of fear” by practitioners. In the existing research of systemic risk, Huang, Zhou, and Zhu (2009) used the VIX as one candidate for the determinants of PDs connected with individual banks.

  8. 8

    They are Tokio Marine Holdings, MS&AD Insurance Group Holdings, and Sompo Japan Insurance.

Published Online: 2014-5-13
Published in Print: 2014-7-1

©2014 by Walter de Gruyter Berlin / Boston

Heruntergeladen am 18.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/apjri-2013-0021/html
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