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Forecasting S&P and gold futures prices: An application of neural networks
3 references·16 citing·53 second hop
Forecasting S&P and gold futures prices: An application of neural networks (1993)Forecasting S&P and gold futures prices: …Measuring the Strangeness of Gold and Silver Rates of Return (1989)Measuring the Strangeness of …Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…THE PERFORMANCE OF MUTUAL FUNDS IN THE PERIOD 1945–1964 (1968)THE PERFORMANCE OF MUTUAL FUN…Predicting open interest in thermal coal futures using machine learning (2024)Predicting open interest in t…Gold price forecasting research based on an improved online extreme learning machine algorithm (2020)Gold price forecasting resear…A novel hybrid model on the prediction of time series and its application for the gold price analysis and forecasting (2019)A novel hybrid model on the p…A hybrid financial trading support system using multi-category classifiers and random forest (2018)A hybrid financial trading su…Volatility of main metals forecasted by a hybrid ANN-GARCH model with regressors (2017)Volatility of main metals for…Multidimensional k -nearest neighbor model based on EEMD for financial time series forecasting (2017)Multidimensional k -nearest n…Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets (2016)Proximal support vector machi…A combination method for interval forecasting of agricultural commodity futures prices (2015)A combination method for inte…Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models (2014)Forecasting stock index retur…CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator (2011)CAST: Using neural networks t…Stock market value prediction using neural networks (2010)Stock market value prediction…Applications of Artificial Neural Networks in Financial Economics: A Survey (2010)Applications of Artificial Ne…Automatic stock decision support system based on box theory and SVM algorithm (2009)Automatic stock decision supp…Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networks (2007)Forecasting Thailand’s rice e…A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL (2004)A COMPARISON OF VAR AND NEURA…Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index (1998)Graded forecasting using an a…This is what happened to the oil price-macroeconomy relationship (1996)What happened to the oil price-macroeconomy relationship? 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this work references cited by second hop

References

  • 1968THE PERFORMANCE OF MUTUAL FUNDS IN THE PERIOD 1945–19644,330 cited
  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 1989Measuring the Strangeness of Gold and Silver Rates of Return190 cited

Cited by

  • 2010Stock market value prediction using neural networks142 cited
  • 2010Applications of Artificial Neural Networks in Financial Economics: A Survey138 cited
  • 2014Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models135 cited
  • 2017Multidimensional k -nearest neighbor model based on EEMD for financial time series forecasting134 cited
  • 2004A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL133 cited
  • 1998Graded forecasting using an array of bipolar predictions: application of probabilistic neural networks to a stock market index127 cited
  • 2007Forecasting Thailand’s rice export: Statistical techniques vs. artificial neural networks125 cited
  • 2015A combination method for interval forecasting of agricultural commodity futures prices116 cited
  • 2009Automatic stock decision support system based on box theory and SVM algorithm102 cited
  • 2017Volatility of main metals forecasted by a hybrid ANN-GARCH model with regressors100 cited
  • 2011

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CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator
100 cited
  • 2016Proximal support vector machine based hybrid prediction models for trend forecasting in financial markets90 cited
  • 2024Predicting open interest in thermal coal futures using machine learning84 cited
  • 2020Gold price forecasting research based on an improved online extreme learning machine algorithm75 cited
  • 2018A hybrid financial trading support system using multi-category classifiers and random forest73 cited
  • 2019A novel hybrid model on the prediction of time series and its application for the gold price analysis and forecasting61 cited