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Optimizing insurers investment portfolios: incorporating alternative investments

Author

Listed:
  • Mihovil Anðelinoviæ

    (University of Zagreb, Faculty of Economics and Business, Zagreb, Croatia)

  • Filip Škunca

    (Triglav osiguranje d.d, Zagreb, Croatia)

Abstract

The challenge posed by historically low-interest rates is particularly significant for insurance companies, especially those specializing in life insurance. This study investigates a potential solution by analyzing the impact of introducing low correlation alternative investments into traditional investment portfolios. The research employs two methods: firstly, optimization using the Markowitz model, and the multicriteria optimization model is utilized to test the advantages of including alternative investments. Secondly, the study assesses the effects of interest rate fluctuations on both traditional and alternative investments through the Vector Autoregressive (VAR) model. The results from both optimization models during the analyzed period confirm the hypotheses, indicating that integrating alternative investments positively influences portfolio returns, risk management, and overall efficiency. Additionally, the study explores the influence of interest rate changes on domestic stocks, bonds, hedge funds, and managed futures. While there were theoretical expectations of a significant impact, confirming that interest rate changes have a stronger effect on bond and stock yields compared to hedge funds and futures yields remains inconclusive. Nevertheless, the research underscores the significance of diversifying investment portfolios with low-correlation alternative assets in the face of a low-interest rate period. These findings offer valuable insights for insurance companies seeking strategies to navigate the complexities of financial markets.

Suggested Citation

  • Mihovil Anðelinoviæ & Filip Škunca, 2023. "Optimizing insurers investment portfolios: incorporating alternative investments," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(2), pages 361-389.
  • Handle: RePEc:rfe:zbefri:v:41:y:2023:i:2:p:361-389
    as

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    References listed on IDEAS

    as
    1. Helmut Lütkepohl & Aleksei Netšunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Econometrics, MDPI, vol. 6(3), pages 1-14, August.
    2. Boudt, Kris & Lu, Wanbo & Peeters, Benedict, 2015. "Higher order comoments of multifactor models and asset allocation," Finance Research Letters, Elsevier, vol. 13(C), pages 225-233.
    3. Susanne Otruba & Carmen Quesada & Stefan Scholz, 2006. "The added value of hedge funds in an asset-liability framework," Journal of Asset Management, Palgrave Macmillan, vol. 6(6), pages 433-444, March.
    4. Lionel Martellini & Volker Ziemann, 2010. "Improved Estimates of Higher-Order Comoments and Implications for Portfolio Selection," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1467-1502, April.
    5. Nuria Bajo Davó & Carmen Mendoza Resco & Manuel Monjas Barroso, 2013. "Portfolio Diversification with Life Settlements: An Empirical Analysis Applied to Mutual Funds," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 38(1), pages 22-42, January.
    6. Ledoit, Olivier & Wolf, Michael, 2003. "Improved estimation of the covariance matrix of stock returns with an application to portfolio selection," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 603-621, December.
    7. Peter Carayannopoulos & M Fabricio Perez, 2015. "Diversification through Catastrophe Bonds: Lessons from the Subprime Financial Crisis," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(1), pages 1-28, January.
    8. Harry M. Kat, 2005. "Managed Futures And Hedge Funds: A Match Made In Heaven," World Scientific Book Chapters, in: H Gifford Fong (ed.), The World Of Hedge Funds Characteristics and Analysis, chapter 6, pages 129-139, World Scientific Publishing Co. Pte. Ltd..
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    insurance companies; alternative investments; interest rates; investment portfolio; portfolio optimization;
    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

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