SOTAVerified

Portfolio Optimization

Portfolio management is the task of obtaining higher excess returns through the flexible allocation of asset weights. In reality, common examples are stock selection and the Enhanced Index Fund (EIF). The general solution of portfolio management is to score the potential of assets, buy assets with upside potential and increase their weighting, and sell assets that are likely to fall or are relatively weak. A large number of strategies have been proposed for portfolio management.

Papers

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Showing 141–150 of 428 papers

TitleStatusHype
Generative Machine Learning for Multivariate Equity Returns—0
Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning—0
Risk of Transfer Learning and its Applications in Finance—0
A Comparative Study of Portfolio Optimization Methods for the Indian Stock Market—0
Topological Portfolio Selection and Optimization—0
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks—0
Risk Aware Benchmarking of Large Language Models—0
Utility-based acceptability indices—0
Cryptocurrency Portfolio Optimization by Neural Networks—0
A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Different modelPortfolio1—Unverified