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Data vs. information: Using clustering techniques to enhance stock returns forecasting
16 references·0 citing·45 second hop
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References

  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 2017Forecasting at Scale2,900 cited
  • 2015Proof that Properly Anticipated Prices Fluctuate Randomly2,078 cited
  • 2004The Adaptive Markets Hypothesis1,708 cited
  • 2018A Comparison of ARIMA and LSTM in Forecasting Time Series1,382 cited
  • 1959Brownian Motion in the Stock Market946 cited
  • 2016Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500749 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2019A Comparison between ARIMA, LSTM, and GRU for Time Series Forecasting401 cited
  • 2010Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting371 cited
  • 1962Periodic Structure in the Brownian Motion of Stock Prices361 cited
  • 1981An Empirical Analysis of Useful Financial Ratios349 cited
  • 1999On the asymmetry of the symmetric MAPE329 cited
  • 2020An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market267 cited
  • 2018Bitcoin Forecasting Using ARIMA and PROPHET

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116 cited
  • 2020Comparison of ARIMA, ANN and LSTM for Stock Price Prediction77 cited
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