Deep Investment in Financial Markets using Deep Learning Models

@article{Aggarwal2017DeepII,
  title={Deep Investment in Financial Markets using Deep Learning Models},
  author={Saurabh Aggarwal and Somya Aggarwal},
  journal={International Journal of Computer Applications},
  year={2017},
  volume={162},
  pages={40-43}
}
  • Saurabh Aggarwal, Somya Aggarwal
  • Published 2017
  • Computer Science
  • International Journal of Computer Applications
  • The aim of this paper is to layout deep investment techniques in financial markets using deep learning models. Financial prediction problems usually involve huge variety of data-sets with complex data interactions which makes it difficult to design an economic model. Applying deep learning models to such problems can exploit potentially non-linear patterns in data. In this paper author introduces deep learning hierarchical decision models for prediction analysis and better decision making for… CONTINUE READING
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    References

    SHOWING 1-10 OF 11 REFERENCES
    Deep Learning in Finance
    • 82
    • PDF
    Deep Learning for Event-Driven Stock Prediction
    • 353
    • PDF
    Dropout: a simple way to prevent neural networks from overfitting
    • 21,286
    • PDF
    Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
    • 751
    • PDF
    Rectified Linear Units Improve Restricted Boltzmann Machines
    • 9,831
    • PDF
    The Behavior of Stock-Market Prices
    • 7,311
    • PDF
    An Artificial Neural Network Approach for Credit Risk Management By-Vincenzo Pacelli1, Michele Azzollini
    • Journal of Intelligent Learning Systems and Applications
    • 2011
    An Artificial Neural Network Approach for Credit Risk Management Vincenzo Pacelli1
    • Michele Azzollini Journal of Intelligent Learning Systems and Applications
    • 2011
    A Nonparametric approach to pricing and hedging derivative securities via learning networks
    • Journal of Finance,
    • 1994
    Learning Deep Architectures for AI, Yoshua Bengio, Foundations and Trends in Machine Learning