Results 21 to 30 of about 7,461,083 (331)
A quantum online portfolio optimization algorithm [PDF]
Portfolio optimization plays a central role in finance to obtain optimal portfolio allocations that aim to achieve certain investment goals. Portfolio optimization also provides a rich area to study the application of quantum computers to obtain ...
Debbie Lim, P. Rebentrost
semanticscholar +1 more source
Portfolio optimization with digitized counterdiabatic quantum algorithms [PDF]
We consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era.
N. N. Hegade +5 more
semanticscholar +1 more source
Regularizing portfolio optimization [PDF]
The optimization of large portfolios displays an inherent instability to estimation error. This poses a fundamental problem, because solutions that are not stable under sample fluctuations may look optimal for a given sample, but are, in effect, very far from optimal with respect to the average risk.
Susanne Still, Imre Kondor
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Portfolio optimization of financial commodities with energy futures. [PDF]
The recent growth in economic and financial markets has brought the focus on energy derivatives as an alternative investment class for investors, financial analysts, and portfolio managers.
Wang L +4 more
europepmc +2 more sources
Functional Portfolio Optimization in Stochastic Portfolio Theory
In this paper we develop a concrete and fully implementable approach to the optimization of functionally generated portfolios in stochastic portfolio theory. The main idea is to optimize over a family of rank-based portfolios parameterized by an exponentially concave function on the unit interval. This choice can be motivated by the long term stability
Steven Campbell, Ting-Kam Leonard Wong
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Social responsibility portfolio optimization incorporating ESG criteria
Social responsibility investment (SRI) has attracted worldwide attention for its potential in promoting investment sustainability and stability. We developed a three-step framework by incorporating environmental, social, and governance (ESG) performance ...
Li Chen +4 more
semanticscholar +1 more source
Dynamic portfolio optimization with inverse covariance clustering [PDF]
Market conditions change continuously. However, in portfolio's investment strategies, it is hard to account for this intrinsic non-stationarity. In this paper, we propose to address this issue by using the Inverse Covariance Clustering (ICC) method to ...
Yuanrong Wang, T. Aste
semanticscholar +1 more source
Optimal characteristic portfolios
Characteristic-sorted portfolios are the workhorses of modern empirical finance, deployed widely to evaluate anomalies and construct asset pricing models. We propose a new method for their estimation that is simple to compute, makes no ex-ante assumption on the nature of the relationship between the characteristic and returns, and does not require ad ...
Richard J. McGee, Jose Olmo
openaire +4 more sources
With the advances in time-series prediction, several recent developments in machine learning have shown that integrating prediction methods into portfolio selection is a great opportunity. In this paper, we propose a novel approach to portfolio formation
Apichat Chaweewanchon, Rujira Chaysiri
semanticscholar +1 more source
Option Portfolio Selection with Generalized Entropic Portfolio Optimization
In this third and final paper of our series on the topic of portfolio optimization, we introduce a further generalized portfolio selection method called generalized entropic portfolio optimization (GEPO).
Peter Joseph Mercurio +2 more
doaj +1 more source

