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Artificial Intelligence Modelling Framework for Financial Automated Advising in the Copper Market
16 references·1 citing·48 second hop
Artificial Intelligence Modelling Framework for Financial Automated Advising in the Copper Market (2019)Artificial Intelligence Modelling Framewo…Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence (2019)Emerging Technology and Busin…Robo-Advisory (2018)Robo-AdvisoryStock market one-day ahead movement prediction using disparate data sources (2017)Stock market one-day ahead mo…A deep learning ensemble approach for crude oil price forecasting (2017)A deep learning ensemble appr…Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks (2015)Maximum and minimum stock pri…Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model (2015)Gold price volatility: A fore…Forecasting the COMEX copper spot price by means of neural networks and ARIMA models (2015)Forecasting the COMEX copper …Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Financialization of Commodity Markets (2013)Financialization of Commodity…Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Applying Artificial Neural Ne…An improved wavelet–ARIMA approach for forecasting metal prices (2013)An improved wavelet–ARIMA app…Can Exchange Rates Forecast Commodity Prices? * (2010)Can Exchange Rates Forecast C…Passive Investment Strategies and Efficient Markets (2003)Passive Investment Strategies…Mutual Fund Performance (1966)Mutual Fund PerformanceThe Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …Robo Advising and Investor Profiling (2024)Robo Advising and Investor Pr…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Evaluating multiple classifiers for stock price direction prediction (2015)Sentiment analysis on social media for stock movement prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES (1956)Portfolio Selection: Efficient Diversification of Investments (1959)Dividend Policy, Growth, and the Valuation of Shares (1961)Risk, Return, and Equilibrium: Empirical Tests (1973)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Expectations and Exchange Rate Dynamics (1976)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Comparing Predictive Accuracy (1994)Oil price fluctuations and U.S. dollar exchange rates (2009)Should Macroeconomic Forecasters Use Daily Financial Data and How? 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References

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 1966Mutual Fund Performance3,932 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2013Financialization of Commodity Markets808 cited
  • 2010Can Exchange Rates Forecast Commodity Prices? *597 cited
  • 2019Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence444 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2017A deep learning ensemble approach for crude oil price forecasting383 cited
  • 2018Robo-Advisory256 cited
  • 2017Stock market one-day ahead movement prediction using disparate data sources240 cited
  • 2013Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil220 cited
  • 2015Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model219 cited
  • 2003Passive Investment Strategies and Efficient Markets181 cited
  • 2013An improved wavelet–ARIMA approach for forecasting metal prices175 cited
  • 2015Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks

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165 cited
  • 2015Forecasting the COMEX copper spot price by means of neural networks and ARIMA models151 cited
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    • 2024Robo Advising and Investor Profiling14 cited