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Carry Forward Modeling for High-Frequency Limit-Order Executions: An Emerging Market Perspective

Author

Listed:
  • Pan, Aritra

    (Indian Institute of Management Bodh Gaya)

  • Kumar Misra, Arun

    (Indian Institute of Technology Kharagpur)

Abstract

In this study, we estimate the order execution probability of a limit-order book (LOB) and analyze its determinants using high-frequency LOB data from the National Stock Exchange (NSE) of India. For this purpose, we propose an algorithm that estimates the LOB execution time. Using a survival function with log-normal distribution, this study analyzes the significant determinants of the limit-order execution times. The average execution probability is found to be higher for stocks belonging to the information technology and telecom sectors. The limit-order execution probability increases with a larger bid–ask spread, lower limit-order size, and deeper opposite order book. On the other hand, multiple factors, including price aggressiveness, inferior price, limit-order size, and spread, have a direct impact on execution times. The findings could help traders understand various factors influencing the probability of execution and execution time of LOBs. This study is unique in that it models limit-order execution using high-frequency tick-by-tick trading data for emerging markets, such as the NSE of India.

Suggested Citation

  • Pan, Aritra & Kumar Misra, Arun, 2022. "Carry Forward Modeling for High-Frequency Limit-Order Executions: An Emerging Market Perspective," American Business Review, Pompea College of Business, University of New Haven, vol. 25(1), pages 92-119, May.
    • Handle: RePEc:ris:ambsrv:0051
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    File URL: https://digitalcommons.newhaven.edu/americanbusinessreview/vol25/iss1/7/
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    More about this item

    Keywords

    High-Frequency Trading; Limit-Order Book; Execution Probability of Limit Orders; Survival Analysis;
    All these keywords.

    JEL classification:

    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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