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Portfolio optimization in stocks using mean–variance optimization and the efficient frontier
10 references·1 citing·48 second hop
Portfolio optimization in stocks using mean–variance optimization and the efficient frontier (2022)Portfolio optimization in stocks using me…A convolutional neural network based approach to financial time series prediction (2022)A convolutional neural networ…Multi-step time series analysis and forecasting strategy using ARIMA and evolutionary algorithms (2021)Multi-step time series analys…The Effect of Personal Finance Education on The Financial Knowledge, Attitudes and Behaviour of University Students in Indonesia (2020)The Effect of Personal Financ…Portfolio optimization with return prediction using deep learning and machine learning (2020)Portfolio optimization with r…Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Mean–variance portfolio optim…A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization (2020)A Comprehensive Survey on Por…Prediction of stock market using artificial neural network (2014)Prediction of stock market us…On the Computation of the Efficient Frontier of the Portfolio Selection Problem (2012)On the Computation of the Eff…Demystifying Equity Risk–Based Strategies: A Simple Alpha plus Beta Description (2012)Demystifying Equity Risk–Base…Comparative issues in large-scale mean–variance efficient frontier computation (2010)Comparative issues in large-s…Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis (2024)Navigating Uncertainty: Enhan…PORTFOLIO SELECTION* (1952)Portfolio Selection: Efficient Diversification of Investments (1959)Mean-Variance Analysis in Portfolio Choice and Capital Markets. 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(1971)Time Series Analysis: Forecasting and Control. (1978)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Stock price prediction using ARIMA versus XGBoost models: the case of the largest telecommunication company in the Middle East (2023)Using ARIMA to Predict the Growth in the Subscriber Data Usage (2023)Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction (2024)The Combination of Forecasts (1969)Comparing Predictive Accuracy (1995)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis (2023)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Data-driven stock forecasting models based on neural networks: A review (2024)
this work references cited by second hop

References

  • 2020Mean–variance portfolio optimization using machine learning-based stock price prediction302 cited
  • 2020Portfolio optimization with return prediction using deep learning and machine learning299 cited
  • 2022A convolutional neural network based approach to financial time series prediction159 cited
  • 2020The Effect of Personal Finance Education on The Financial Knowledge, Attitudes and Behaviour of University Students in Indonesia128 cited
  • 2020A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization121 cited
  • 2012Demystifying Equity Risk–Based Strategies: A Simple Alpha plus Beta Description116 cited
  • 2021Multi-step time series analysis and forecasting strategy using ARIMA and evolutionary algorithms61 cited
  • 2010Comparative issues in large-scale mean–variance efficient frontier computation34 cited
  • 2014Prediction of stock market using artificial neural network33 cited
  • 2012On the Computation of the Efficient Frontier of the Portfolio Selection Problem32 cited

Cited by

  • 2024Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis30 cited

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