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Stocks Opening Price Gaps and Adjustments to New Information
Aiche Avishay1, Cohen Gil1, Griskin Vladimir1
1Department of Management, Western Galilee Academic College, Acre, Israel.
Computational Economics
|June 26, 2023
Summary
This study analyzes stock market data to optimize trading strategies. Negative gap openings are more significant than positive ones, with faster price adjustments for bad news.
Area of Science:
- Quantitative Finance
- Computational Finance
- Market Microstructure
Background:
- Understanding stock price behavior following opening gaps is crucial for trading strategy development.
- Existing research has not comprehensively analyzed the speed of information assimilation across major U.S. stock indices.
- The study addresses the need for data-driven insights into the dynamics of gap openings.
Purpose of the Study:
- To investigate and optimize trading strategies based on gap opening price dynamics.
- To analyze the speed of new information absorption into stock prices using artificial intelligence and big data.
- To compare the impact of negative versus positive gap openings across different market indices.
Main Methods:
- Utilized artificial intelligence and big data analysis on ten years of daily stock trading data.
- Covered all stocks within the S&P 500, Nasdaq100, and Russell 2000 indices.
- Developed a system to optimize trading results for various gap opening investment strategies.
Main Results:
- Negative gap openings were found to be more significant than positive gap openings.
- This effect was more pronounced in Russell 2000 and Nasdaq100 stocks compared to S&P 500 stocks.
- Price adjustments for negative news were quicker than for positive news, with subsequent upward price drifts observed after positive gaps.
Conclusions:
- The findings suggest distinct market reactions to negative and positive information events.
- Optimized trading strategies can leverage the observed patterns in gap openings and price adjustments.
- The research provides valuable insights for investors seeking to capitalize on market inefficiencies.
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