Forecasting the REITs and stock indices: Group Method of Data Handling Neural Network approach

@article{Li2017ForecastingTR,
  title={Forecasting the REITs and stock indices: Group Method of Data Handling Neural Network approach},
  author={Rita Yi Man Li and S. Fong and Kyle Weng Sang Chong},
  journal={Pacific Rim Property Research Journal},
  year={2017},
  volume={23},
  pages={123 - 160}
}
  • Rita Yi Man Li, S. Fong, Kyle Weng Sang Chong
  • Published 2017
  • Computer Science
  • Pacific Rim Property Research Journal
    • Abstract If there is long-term memory in property stocks and REITs prices, historical data is relevant for future prices prediction. Despite previous research adopted various different methods to forecast future asset prices by using historical data; we attempted to forecast the REITs and stock indices by Group Method of Data Handling (GMDH) neural network method with Hurst which is the first of its kind. Our results showed that GMDH neural network performed better than the classical… CONTINUE READING
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    References

    SHOWING 1-10 OF 65 REFERENCES
    NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI
    • 170
    • PDF
    Application of Artificial Neural Network for stock market predictions: A review of literature
    • 76
    • Highly Influential
    • PDF
    Economic prediction using neural networks: the case of IBM daily stock returns
    • H. White
    • Computer Science
    • IEEE 1988 International Conference on Neural Networks
    • 1988
    • 612
    • PDF
    Long memory in REIT volatility and changes in the unconditional mean: a modified FIGARCH approach
    • 9
    Trend Prediction for Stock Price Using Dynamic Hurst Index
    • 1
    Is Hurst Exponent Value Useful in Forecasting Financial Time Series
    • 27
    • PDF
    A Comparison of Alternative Forecast Models of REIT Volatility
    • 27
    • PDF
    Forecasting Eurozone real-estate returns
    • 3
    Stock market prediction system with modular neural networks
    • 594
    • Highly Influential
    • PDF
    A search for long memory in international stock market returns
    • 238
    • Highly Influential