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Who should buy structured investment products and why?

Author

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  • Massimo Guidolin
  • Giacomo Leonetti
  • Manuela Pedio

Abstract

Structured products in general, and investment certificates in particular, have gained increasing popularity among retail investors over the last decade, both in Europe and in the US. However, based on data on the ex-post realized gains of retail clients investing in certificates, the literature has generally concluded that the high demand of these products may be hard to rationalize within a portfolio optimization framework. In this paper, we investigate whether a rational, perfectly informed investor with standard constant relative risk aversion (CRRA) preferences who optimally allocates her wealth among risky and riskless assets can ex-ante expect to benefit from adding structured products to her portfolio. We show that the utility gains from investment certificates vary dramatically across alternative structures, investment horizons and levels of risk aversion. Therefore, a correct assessment of an investors’ risk tolerance and investment horizon is crucial when advising on the relevance of structured products. We also find that the optimal demand of investment certificates as well as their benefits depend heavily on the pricing model informing the portfolio assessment and that demand is considerably higher when the joint presence of jumps in returns and volatility were to go undetected. Therefore, the high demand of structured products can be explained by the use of asset pricing models that are excessively simplistic and ignore discontinuous dynamics.

Suggested Citation

  • Massimo Guidolin & Giacomo Leonetti & Manuela Pedio, 2024. "Who should buy structured investment products and why?," BAFFI CAREFIN Working Papers 24222, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  • Handle: RePEc:baf:cbafwp:cbafwp24222
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    References listed on IDEAS

    as
    1. M. B. Haugh & A. W. Lo, 2001. "Asset allocation and derivatives," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 45-72.
    2. Oliver Entrop & Michael McKenzie & Marco Wilkens & Christoph Winkler, 2016. "The performance of individual investors in structured financial products," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 569-604, April.
    3. Faias, José Afonso & Santa-Clara, Pedro, 2017. "Optimal Option Portfolio Strategies: Deepening the Puzzle of Index Option Mispricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 277-303, February.
    4. Pan, Jun, 2002. "The jump-risk premia implicit in options: evidence from an integrated time-series study," Journal of Financial Economics, Elsevier, vol. 63(1), pages 3-50, January.
    5. Jun Liu & Francis A. Longstaff & Jun Pan, 2003. "Dynamic Asset Allocation with Event Risk," Journal of Finance, American Finance Association, vol. 58(1), pages 231-259, February.
    6. Branger, Nicole & Schlag, Christian & Schneider, Eva, 2008. "Optimal portfolios when volatility can jump," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1087-1097, June.
    7. repec:bla:jfinan:v:59:y:2004:i:3:p:1367-1404 is not listed on IDEAS
    8. Marius Ascheberg & Nicole Branger & Holger Kraft & Frank Thomas Seifried, 2016. "When do jumps matter for portfolio optimization?," Quantitative Finance, Taylor & Francis Journals, vol. 16(8), pages 1297-1311, August.
    9. Stoimenov, Pavel A. & Wilkens, Sascha, 2005. "Are structured products 'fairly' priced? An analysis of the German market for equity-linked instruments," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 2971-2993, December.
    10. Darrell Duffie & Jun Pan & Kenneth Singleton, 2000. "Transform Analysis and Asset Pricing for Affine Jump-Diffusions," Econometrica, Econometric Society, vol. 68(6), pages 1343-1376, November.
    11. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    12. Thorsten Hens & Marc Oliver Rieger, 2014. "Can utility optimization explain the demand for structured investment products?," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 673-681, April.
    13. Marta Szymanowska & Jenke Ter Horst & Chris Veld, 2009. "Reverse convertible bonds analyzed," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(10), pages 895-919, October.
    14. Joost Driessen & Pascal Maenhout, 2007. "An Empirical Portfolio Perspective on Option Pricing Anomalies," Review of Finance, European Finance Association, vol. 11(4), pages 561-603.
    15. Liu, Jun & Pan, Jun, 2003. "Dynamic derivative strategies," Journal of Financial Economics, Elsevier, vol. 69(3), pages 401-430, September.
    16. Yuan-Hung Hsuku, 2007. "Dynamic consumption and asset allocation with derivative securities," Quantitative Finance, Taylor & Francis Journals, vol. 7(2), pages 137-149.
    17. Benet, Bruce A. & Giannetti, Antoine & Pissaris, Seema, 2006. "Gains from structured product markets: The case of reverse-exchangeable securities (RES)," Journal of Banking & Finance, Elsevier, vol. 30(1), pages 111-132, January.
    18. Mark Broadie & Mikhail Chernov & Michael Johannes, 2007. "Model Specification and Risk Premia: Evidence from Futures Options," Journal of Finance, American Finance Association, vol. 62(3), pages 1453-1490, June.
    19. Henderson, Brian J. & Pearson, Neil D., 2011. "The dark side of financial innovation: A case study of the pricing of a retail financial product," Journal of Financial Economics, Elsevier, vol. 100(2), pages 227-247, May.
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    Keywords

    Structured products; investment certificates; retail investors; asset allocation; models with jumps.;
    All these keywords.

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