Results 11 to 20 of about 7,461,083 (331)

Bitcoin and Portfolio Diversification: A Portfolio Optimization Approach [PDF]

open access: yesSSRN Electronic Journal, 2021
This study investigates the performance of Bitcoin as a diversifier under different constraining portfolio optimization frameworks. The study employs different constraining optimization frameworks that seek to maximize risk-adjusted returns (Sharpe ratio)
Walid Bakry   +3 more
semanticscholar   +4 more sources

Portfolio optimization for sustainable investments

open access: yesSSRN Electronic Journal, 2021
In mean-variance portfolio optimization, multi-index models often accelerate computation, reduce input requirements, facilitate understanding, and allow easy adjustment to changing conditions more effectively than full covariance matrix estimation in ...
Armin Varmaz   +2 more
semanticscholar   +5 more sources

A New Data-Driven Distributionally Robust Portfolio Optimization Method Based on Wasserstein Ambiguity Set

open access: yesIEEE Access, 2021
Since optimal portfolio strategy depends heavily on the distribution of uncertain returns, this article proposes a new method for the portfolio optimization problem with respect to distribution uncertainty.
Ningning Du, Yankui Liu, Ying Liu
doaj   +2 more sources

Prediction-Based Portfolio Optimization Models Using Deep Neural Networks

open access: yesIEEE Access, 2020
Portfolio optimization is a hot research topic, which has attracted many researchers in recent decades. Better portfolio optimization model can help investors earn more stable profits.
Yilin Ma, Ruizhu Han, Weizhong Wang
doaj   +2 more sources

Best practices for portfolio optimization by quantum computing, experimented on real quantum devices. [PDF]

open access: yesSci Rep, 2023
In finance, portfolio optimization aims at finding optimal investments maximizing a trade-off between return and risks, given some constraints. Classical formulations of this quadratic optimization problem have exact or heuristic solutions, but the ...
Buonaiuto G   +4 more
europepmc   +2 more sources

Benchmarking the performance of portfolio optimization with QAOA [PDF]

open access: yesQuantum Information Processing, 2022
We present a detailed study of portfolio optimization using different versions of the quantum approximate optimization algorithm (QAOA). For a given list of assets, the portfolio optimization problem is formulated as quadratic binary optimization ...
S. Brandhofer   +8 more
semanticscholar   +1 more source

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization [PDF]

open access: yesInternational Conference on Information and Knowledge Management, 2022
Portfolio management is a fundamental problem in finance. It involves periodic reallocations of assets to maximize the expected returns within an appropriate level of risk exposure.
Hui Niu, Siyuan Li, Jian Li
semanticscholar   +1 more source

Multi-period portfolio optimization using model predictive control with mean-variance and risk parity frameworks [PDF]

open access: yesEuropean Journal of Operational Research, 2021
We employ model predictive control for a multi-period portfolio optimization problem. In addition to the mean-variance objective, we construct a portfolio whose allocation is given by model predictive control with a riskparity objective, and provide a ...
Xiaoyue Li, Ayse Sinem Uysal, J. Mulvey
semanticscholar   +1 more source

Meta-heuristics for portfolio optimization

open access: yesSoft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
Portfolio optimization has been studied extensively by researchers in computer science and finance, with new and novel work frequently published. Traditional methods, such as quadratic programming, are not computationally effective for solving complex ...
Kyle Erwin, A. Engelbrecht
semanticscholar   +1 more source

Integrating prediction in mean-variance portfolio optimization [PDF]

open access: yesSocial Science Research Network, 2021
In quantitative finance, prediction models are traditionally optimized independently from their use in the asset allocation decision-making process. We address this limitation and present a stochastic optimization framework for integrating regression ...
A. Butler, Roy H. Kwon
semanticscholar   +1 more source

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