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New Paradigm in Decision Science and Management pp 77–87Cite as

Stock Market Price Prediction Employing Artificial Neural Network Optimized by Gray Wolf Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1005))

Abstract

As the stock market is highly volatile and chaotic in nature, prediction about this is a highly challenging task. To achieve better prediction accuracy, this article presents a model that uses artificial neural network (ANN) optimized by gray wolf optimization (GWO) technique. The model is applied on Bombay stock exchange (BSE) data. The range of data selection was from 25 August 2004 to 24 October 2018. To evaluate the performance of the model, many evaluation metrics such as mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and median average error (MedAE) are used. The end result shows that the proposed model outperforms ANN model.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Sipra Sahoo

  2. Department of Electronics and Communication Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Mihir Narayan Mohanty

Authors
  1. Sipra Sahoo
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  2. Mihir Narayan Mohanty
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Corresponding author

Correspondence to Mihir Narayan Mohanty .

Editor information

Editors and Affiliations

  1. Siksha ‘O’ Anusandhan University, Bhubaneswar, India

    Srikanta Patnaik

  2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

    Andrew W. H. Ip

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

  4. Victoria Business School, School of Management, Victoria University of Wellington, Wellington, New Zealand

    Vipul Jain

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Sahoo, S., Mohanty, M.N. (2020). Stock Market Price Prediction Employing Artificial Neural Network Optimized by Gray Wolf Optimization. In: Patnaik, S., Ip, A., Tavana, M., Jain, V. (eds) New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-9330-3_8

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