Research projects

Project CEMAPRE internal

TitlePortfolio Management & Investor Profiling
ParticipantsSimme Avanzini, Raquel Gaspar (Principal Investigator), Inês Lopes, Carolina Oliveira, Paulo M Silva
Summary"This project encompasses various initiatives related to portfolio construction and investor
profiling, divided into three components:
1. Construction of portfolios and profiling institutional investors. In terms of portfolio
construction, we focus on building portfolios for institutional investors. Specifically, we
concentrate on constructing portfolios for defined contribution pension funds on one hand, and on
the other hand, on portfolios designed to cover liabilities assumed by insurance companies when
issuing contracts linked to the performance of financial markets. Despite the diverse nature of both
constructions, regarding Investment Policy Statement (IPS) development, we are dealing with
institutional investors, whose profiles need characterization. In the literature, the
characterization of institutional investors' risk profiles tends to be rather opaque compared to
individual investors. Here, we aim to disentangle profile-related restrictions from product-related
restrictions and understand their impact on the proposed portfolios.
2. Portuguese individual investors. In terms of profiling individual investors, this study relies on
data from CMVM (Portuguese supervision authority) questionnaires distributed to individual
investors. Our aim is to characterize the “average” Portuguese investor. Subsequently, we
attempt to establish a relationship between reported portfolio compositions and both their risk
aversion and financial literacy. Finally, we investigate the efficiency of average portfolios across
various investor characteristics. Our questionnaire sample covers the COVID pandemic subperiod,
which may present challenges or opportunities.
3. Evaluation of portfolio performance and random portfolios. Contrary to what one would expect,
constructing a sample of random portfolios is far from trivial. It turns out that creating random
portfolios cannot be achieved by randomizing their weights. This holds true even in scenarios where
the only weight restriction is that weights must add up to one. This restriction, for instance,
prohibits the comparison of the performance of random portfolios with that of professionally managed
portfolios. We aim to explore the existing literature and, hopefully, contribute to it by proposing
alternative approaches.
This project seeks to offer practical insights for both institutional and individual investors, also
looking into more theoretical issues such as portfolio randomization."