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High-Frequency Trading and Probability Theory

Author

Listed:
  • Zhaodong Wang

    (East China Normal University, China)

  • Weian Zheng

    (East China Normal University, China)

Abstract

This book is the first of its kind to treat high-frequency trading and technical analysis as accurate sciences. The authors reveal how to build trading algorithms of high-frequency trading and obtain stable statistical arbitrage from the financial market in detail. The authors' arguments are based on rigorous mathematical and statistical deductions and this will appeal to people who believe in the theoretical aspect of the topic.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Zhaodong Wang & Weian Zheng, 2014. "High-Frequency Trading and Probability Theory," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9233.
    • Handle: RePEc:wsi:wsbook:9233
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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/9233
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    Citations

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    Cited by:

    1. Zhou, Yu & Chen, Shi, 2016. "Cross-correlation analysis between Chinese TF contracts and treasury ETF based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 117-127.
    2. Wang, Xi & Bao, Si & Chen, Jingchao, 2017. "High-frequency stock linkage and multi-dimensional stationary processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 70-83.
    3. Li, Long & Bao, Si & Chen, Jing-Chao & Jiang, Tao, 2019. "A method to get a more stationary process and its application in finance with high-frequency data of Chinese index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1405-1417.
    4. Chen, Shi & Bao, Si & Zhou, Yu, 2016. "The predictive power of Japanese candlestick charting in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 148-165.

    Book Chapters

    The following chapters of this book are listed in IDEAS

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