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Deep Learning for Financial Engineering

Author

Listed:
  • Mu-Yen Chen

    (National Cheng Kung University)

  • Arun Kumar Sangaiah

    (Vellore Institute of Technology (VIT))

  • Ting-Hsuan Chen

    (National Taichung University of Science and Technology)

  • Edwin David Lughofer

    (Johannes Kepler University Linz)

  • Erol Egrioglu

    (Giresun University
    Lancaster University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Mu-Yen Chen & Arun Kumar Sangaiah & Ting-Hsuan Chen & Edwin David Lughofer & Erol Egrioglu, 2022. "Deep Learning for Financial Engineering," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1277-1281, April.
    • Handle: RePEc:kap:compec:v:59:y:2022:i:4:d:10.1007_s10614-022-10260-8
    DOI: 10.1007/s10614-022-10260-8
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    References listed on IDEAS

    as
    1. Zixian Liu & Guansan Du & Shuai Zhou & Haifeng Lu & Han Ji, 2022. "Analysis of Internet Financial Risks Based on Deep Learning and BP Neural Network," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1481-1499, April.
    2. Mu-En Wu & Jia-Hao Syu & Chien-Ming Chen, 2022. "Kelly-Based Options Trading Strategies on Settlement Date via Supervised Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1627-1644, April.
    3. Sheng-Hung Chen & Feng-Jui Hsu, 2022. "National Governance Differences and Foreign Bank Performance in Asian Countries: The Role of Bank Competition," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1283-1333, April.
    4. Wang Yu & Zhang Dongbo & Zhang Yu, 2022. "GPS data Mining at Signalized Intersections for Congestion Charging," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1713-1734, April.
    Full references (including those not matched with items on IDEAS)

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