Interest Rate Structured Products: Can They Improve the Risk-return Profile?

47 Pages Posted: 6 Sep 2012 Last revised: 27 May 2021

See all articles by Gianluca Fusai

Gianluca Fusai

Università del Piemonte Orientale Dipartimento di Studi per l'Economia e l'Impresa; Bayes Business School - City, University of London

Giovanni Longo

Università del Piemonte Orientale - DiSEI

Giovanna Zanotti

University of Bergamo; SDA Bocconi

Date Written: January 10, 2011

Abstract

In this paper we investigate the contribution of interest rate structured bonds to portfolios of risk-averse retail investors. We conduct our analysis by simulating the term structure according to a multifactor no-arbitrage interest rate model and comparing the performance of a portfolio consisting of basic products (zero-coupon bonds, coupon bonds and floating rate notes) with a portfolio containing more sophisticated exotic products (like constant maturity swaps, collars, spread and volatility notes). Our analysis, performed under different market environments, as well as volatility and correlation levels, takes into account the combined effects of risk-premiums required by investors and fees that they have to pay. Our results show that capital protected interest rate structured products allow investors to improve risk-return trade-off if no fees are considered. With fees, our simulations show that structured products add value to the basic portfolio in a very limited number of cases. We believe our paper contributes to understanding the role of structured products in investors portfolios also in light of the current regulatory debate on the use of complex financial products by retail investors.

Keywords: Structured products, efficient frontier, risk-return trade-off, Monte Carlo simulation, Interest rate modelling

JEL Classification: G11, G17, E47

Suggested Citation

Fusai, Gianluca and Longo, Giovanni and Zanotti, Giovanna, Interest Rate Structured Products: Can They Improve the Risk-return Profile? (January 10, 2011). Available at SSRN: https://ssrn.com/abstract=2140678 or http://dx.doi.org/10.2139/ssrn.2140678

Gianluca Fusai

Università del Piemonte Orientale Dipartimento di Studi per l'Economia e l'Impresa ( email )

Via Perrone, 18
Novara, 28100
Italy

HOME PAGE: http://https://upobook.uniupo.it/gianluca.fusai

Bayes Business School - City, University of London ( email )

106 Bunhill Row
London, EC2Y 8HB
Great Britain

HOME PAGE: http:// www.cass.city.ac.uk/experts/G.Fusai

Giovanni Longo

Università del Piemonte Orientale - DiSEI

Via Ettore Perrone 18
Novara, Novara 28100
Italy

HOME PAGE: http://https://www.disei.uniupo.it/

Giovanna Zanotti (Contact Author)

University of Bergamo ( email )

Via Salvecchio, 19
Bergamo, 24129
Italy

SDA Bocconi ( email )

via Bocconi 8
Milano, MI 20135
Italy
+390258366101 (Phone)

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