Mean-variance vs trend-risk portfolio selection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F24%3A10252345" target="_blank" >RIV/61989100:27510/24:10252345 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11846-023-00660-x" target="_blank" >https://link.springer.com/article/10.1007/s11846-023-00660-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11846-023-00660-x" target="_blank" >10.1007/s11846-023-00660-x</a>

Result language
angličtina
Original language name
Mean-variance vs trend-risk portfolio selection
Original language description
In this paper, we provide an alternative trend (time)-dependent risk measure to Ruttiens' accrued returns variability (Ruttiens in Comput Econ 41:407-424, 2013). We propose to adjust the calculation procedure to achieve an alternative risk measure. Our modification eliminates static mean component and it is based on the deviation of squared dispersions, which reflects the trend (time factor) precisely. Moreover, we also present a new perspective on dependency measures and we apply a PCA to a new correlation matrix in order to determine a parametric and nonparametric return approximation. In addition, the two-phase portfolio selection strategy is considered, where the mean-variance portfolio selection strategies represent the first optimization. The second one is the minimization of deviations from their trend leading to identical mean and final wealth. Finally, an empirical analysis verify the property and benefit of portfolio selection strategies based on these trend-dependent measures. In particular, the ex-post results show that applying the modified measure allows us to reduce the risk with respect to the trend of several portfolio strategies. (C) 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50206 - Finance

Project
<a href="/en/project/GA20-16764S" target="_blank" >GA20-16764S: A generalized approach to stochastic dominance: theory and financial applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)