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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 428 papers

TitleStatusHype
Set risk measures—0
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow—0
Hopfield Networks for Asset Allocation—0
Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks—0
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management—0
Regularizing stock return covariance matrices via multiple testing of correlationsCode0
Application of Black-Litterman Bayesian in Statistical Arbitrage—0
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Portfolio Optimization with Robust Covariance and Conditional Value-at-Risk Constraints—0
Intertemporal Cost-efficient Consumption—0
DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction—0
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement LearningCode0
Robust portfolio optimization model for electronic coupon allocation—0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Hedge Error Analysis In Black Scholes Option Pricing Model: An Asymptotic Approach Towards Finite Difference—0
Transforming Investment Strategies and Strategic Decision-Making: Unveiling a Novel Methodology for Enhanced Performance and Risk Management in Financial Markets—0
Dynamic Black-Litterman—0
A novel portfolio construction strategy based on the core-periphery profile of stocks—0
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning—0
Quantum computing approach to realistic ESG-friendly stock portfolios—0
Using Machine Learning to Forecast Market Direction with Efficient Frontier Coefficients—0
Portfolio management using graph centralities: Review and comparison—0
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization—0
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Different modelPortfolio1—Unverified