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Reaching medium risk exposure through non-fixed income ETFs
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fixed income products. The goal of this strategy is to protect medium risk portfolio against big losses in case of interest rate increase. We use Exchange Traded Funds (ETF) to compose our portfolios in order to provide an investable solution. To reach that goal, an originality of our
research is to select ETFs by an algorithm, namely PcGets. Based on this selection, we minimize the tracking error between our ETFs selection and our medium risk benchmark. Within the block search extension, it also allows to deal with database where the number of exogenous variables is greater than the number of observations. From a methodological standpoint, we compare the optimized PcGets portfolio with another one composed from a standard quadratic optimization. To complete our analysis, we add some constraints on tracking-error volatility for
each portfolios. We discuss the fact that adding constraints can substantially improve the performance of the portfolio selection. From an investment standpoint, a low volatility
combination of non-fixed income ETFs seem to provide an interesting alternative to classical medium risk portfolio.
Author(s):
Christophe Dispas
Skema business school
France
Amaury Goguel
Skema business school
France
Thomas Lanzi
Skema business school
France
Hugo Pascail
Université Côte d’Azur, SKEMA, CNRS, GREDEG
France