Bond Portfolio Optimization Using Dynamic Factor Models

49 Pages Posted: 7 Jun 2012 Last revised: 23 Nov 2015

See all articles by João Caldeira

João Caldeira

Universidade Federal de Santa Catarina & CNPq

Guilherme V. Moura

Universidade Federal de Santa Catarina (UFSC) - Department of Economics

Andre A. P. Santos

University of Edinburgh - Edinburgh Business School; Universidade Federal de Santa Catarina (UFSC) - Department of Economics

Date Written: November 20, 2015

Abstract

Dynamic factor models for the yield curve have been extensively applied to fit and forecast the yield curve. We propose a novel utilization of these models in bond portfolio optimization. Specifically, we derive closed-form expressions for the vector of expected bond returns and for its covariance matrix based on a general class of dynamic factor models, and use these expressions to obtain optimal mean-variance bond portfolios. We also develop a duration-constrained, mean-variance optimization, which can be used to improve bond indexing. An empirical application involving two large data sets of U.S. Treasuries with different characteristics shows that the proposed portfolio policy outperforms a broad set of traditional yield curve strategies used in bond desks in terms of higher Sharpe ratios. Moreover, we find that an investor with a quadratic utility function is willing to pay a performance fee to adopt the proposed mean-variance bond portfolios. Finally, we discuss how an investor can benefit from adopting a dynamic rule to switch among alternative bond investment strategies. We find that the benefits of such dynamic portfolio selection rule are even more pronounced when the set of available policies is augmented with the proposed mean-variance portfolios.

Keywords: yield curve; dynamic factor model; dynamic conditional correlation (DCC); portfolio optimization; value-at-risk

JEL Classification: C53, E43, G17

Suggested Citation

Caldeira, João and Moura, Guilherme Valle and A. P. Santos, Andre, Bond Portfolio Optimization Using Dynamic Factor Models (November 20, 2015). Available at SSRN: https://ssrn.com/abstract=2079318 or http://dx.doi.org/10.2139/ssrn.2079318

João Caldeira

Universidade Federal de Santa Catarina & CNPq ( email )

R. Eng. Agronômico Andrei Cristian Ferreira, s/n
Florianópolis, SC Rio Grande do Sul 90480-004
Brazil

Guilherme Valle Moura

Universidade Federal de Santa Catarina (UFSC) - Department of Economics ( email )

PO Box 476
Florianopolis, SC 88010-970
Brazil

Andre A. P. Santos (Contact Author)

University of Edinburgh - Edinburgh Business School ( email )

29 Buccleuch Pl
Edinburgh, Scotland EH8 9JS
United Kingdom

Universidade Federal de Santa Catarina (UFSC) - Department of Economics ( email )

PO Box 476
Florianopolis, SC 88010-970
Brazil

HOME PAGE: http://sites.google.com/site/andreportela

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