Skip to main content
Log in

Diversification with options and structured products

  • Published:
Review of Derivatives Research Aims and scope Submit manuscript

Abstract

Different from diversification of stocks, there are two strategies to diversify portfolios consisting of options: one is to combine options on single underlying stocks, and the other one is to buy an option based on the index of these stocks. In this paper we analyse which diversification strategy is optimal for classical rational investors with constant relative risk aversion. We employ the Black–Scholes model and the stochastic volatility model of Heston for generating the processes of underlying stocks as well as pricing the derivatives. The results are developed first for options and then extended to some important classes of structured financial products: capital protected notes, discount certificates and bonus certificates. We find that investors’ choices on the two diversification strategies differ noticeably, but in general for convex payoffs index options are preferable, whereas for concave payoffs a portfolio of single stock options has usually higher utility.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. Empirical studies typically find a premium of overpricing of about 0.5% for simple products on large markets, but average values are as high as 8% in other situations. Some single products can have even larger mispricing.

  2. See Branger and Schlag (2004) for example.

  3. Since our aim is the comparison of derivatives on different underlying stocks ceteris paribus, we do not search for the optimal fraction of the wealth in derivatives nor the exposure of the optimal portfolio to different risk factors for the retail investor.

  4. This corresponds to the uncapped capital protection (1100) according to the SVSP Swiss Derivative Map.

  5. Sometimes called Low Exercise Price Option (LEPO), basically the underlying without dividend payments.

  6. This allows a comparison with Hens and Rieger (2014).

  7. The parameter properties of the Heston model have been estimated by a large number of studies, and the estimated parameters may differ from paper to paper. Our chosen parameters are in the generally agreed region as basically in line with Liu and Pan (2003).

  8. See Branger and Schlag (2004). The analytical solution would not exist even if each stock of the index followed a geometric Brownian motion and all the stocks were independent.

  9. Summary of results is available upon request.

  10. The predefined level refers to the nominal protection level for the capital protected note, the limited profit potential (cap) for the discount certificate, and the conditional protection level for the bonus certificate if the barrier is not breached.

References

  • Benartzi, S., & Thaler, R. (1995). Myopic loss aversion and the equity premium puzzle. The Quarterly Journal of Economics, 110, 73–92.

    Article  Google Scholar 

  • Benet, B. A., Giannetti, A., & Pissaris, S. (2006). Gains from structured product markets: The case of reverse-exchangeable securities. Journal of Banking and Finance, 30(1), 111–132.

    Article  Google Scholar 

  • Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 81, 637–654.

    Article  Google Scholar 

  • Blümke, A. (2009). How to Invest in Structured Products: A Guide for Investors and Investment Advisors. Burlington: Wiley.

    Google Scholar 

  • Branger, N. & Breuer, B. (2008). The optimal demand for retail derivatives. Working paper.

  • Branger, N., & Schlag, C. (2004). Why is the index smile so steep. Review of Finance, 8, 109–127.

    Article  Google Scholar 

  • Branger, N., Schlag, C., & Schneider, E. (2008). Optimal portfolios when volatility can jump. Journal of Banking and Finance, 32, 1087–1097.

    Article  Google Scholar 

  • Breuer, W., & Perst, A. (2007). Retail banking and behavioral financial engineering: The case of structured products. Journal of Banking and Finance, 31, 827–844.

    Article  Google Scholar 

  • Burth, S., Kraus, T., & Wohlwend, H. (2001). The pricing of structured products in the swiss market. Journal of Derivatives, 9, 30–40.

    Article  Google Scholar 

  • Cao, J., & Rieger, M. (2013). Risk classes for structured products: Mathematical aspects and their implications on behavioral investors. Annals of Finance, 9, 167–183.

    Article  Google Scholar 

  • Das, S. R., & Statman, M. (2013). Options and structured products in behavioral portfolios. Journal of Economic Dynamics and Control, 37, 137–153.

    Article  Google Scholar 

  • Dichtl, H., & Drobetz, W. (2011). Portfolio insurance and prospect theory investors: Popularity and optimal design of capitalprotected financial products. Journal of Banking and Finance, 35, 1683–1697.

    Article  Google Scholar 

  • Dimson, E., Marsch, P., & Staunton, M. (2006). The worldwide equity premium: A smaller puzzle. EFA 2006 Zurich Meetings Paper and AFA 2008 New Orleans Meetings Paper.

  • Driessen, J., & Maenhout, P. (2007). An empirical portfolio perspective on option pricing anomalies. Review of Finance, 11, 561–603.

    Article  Google Scholar 

  • Eraker, B., Johannes, M., & Polson, N. (2003). The impact of jumps in volatility and returns. Journal of Finance, 58, 1269–1300.

    Article  Google Scholar 

  • Fink, H., Geissel, S., Sass, J., & Seifried, F. T. (2019). Implied risk aversion: An alternative rating system for retail structured products. Review of Derivatives Research, 22(3), 357–387.

    Article  Google Scholar 

  • Gollier, C. (2004). The economics of risk and time. Cambridge: MIT Press.

    Google Scholar 

  • Helberger, D. (2012). Why do investors buy structured products? A behavioral finance explanation. The Journal of Wealth Management, 15, 51–60.

    Article  Google Scholar 

  • Henderson, B., & Pearson, N. (2011). The dark side of financial innovation: A case study of the pricing of a retail financial product. Journal of Financial Economics, 100, 227–247.

    Article  Google Scholar 

  • Henderson, B. J. & Pearson, N. D. (2007). Patterns in the payoffs of structured equity derivatives. AFA 2008 New Orleans Meetings Paper.

  • Hens, T., & Rieger, M. O. (2014). Can utility optimization explain the demand for structured investment products? Quantitative Finance, 14, 673–681.

    Article  Google Scholar 

  • Heston, S. L. (1993). A closed form solution for options with stochastic volatility with applications to bonds and currency options. The Review of Financial Studies, 6, 327–343.

    Article  Google Scholar 

  • Jones, C. S. (2006). A nonlinear factor analysis of s&p 500 index option returns. Journal of Finance, 61, 2325–2363.

    Article  Google Scholar 

  • Liu, J., & Pan, J. (2003). Dynamic derivative strategies. Journal of Financial Economics, 69, 401–430.

    Article  Google Scholar 

  • Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91.

    Google Scholar 

  • Rieger, M. O. (2012). Why do investors buy bad financial products? Probability misestimation and preferences in financial investment decisions. Journal of Behavioral Finance, 13, 108–118.

    Article  Google Scholar 

  • Stoimenov, P. A., & Wilkens, S. (2005). Are structured products ’fairly’ priced? An analysis of the german market for equity-linked instruments. Journal of Banking and Finance, 29, 2971–2993.

    Article  Google Scholar 

  • Vrecko, D., & Branger, N. (2009). Why is portfolio insurance attractive to investors. Working paper.

  • Wallmeier, M., & Diethelm, M. (2009). Market pricing of exotic structured products: The case of multi-asset barrier reverse convertibles in switzerland. The Journal of Derivatives, 17, 59–72.

    Article  Google Scholar 

  • Wilkens, S., Erner, C., & Röder, K. (2003). The pricing of structuredproducts in germany. Journal of Derivatives, 11, 55–69.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuonan Yuan.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yuan, S., Rieger, M.O. Diversification with options and structured products. Rev Deriv Res 24, 55–77 (2021). https://doi.org/10.1007/s11147-020-09169-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11147-020-09169-x

Keywords

JEL Classification

Navigation