The Impact of Ramadan month on market stock returns anomalies: an empirical investigation of Palestine Exchange (PEX)

  • Received February 8, 2020;
    Accepted March 16, 2020;
    Published March 30, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/imfi.17(1).2020.22
  • Article Info
    Volume 17 2020, Issue #1, pp. 253-265
  • TO CITE АНОТАЦІЯ
  • Cited by
    1 articles
  • 511 Views
  • 48 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The main purpose of the current study is to examine the impact of Ramadan month on stock returns at the Palestine Exchange (PEX). The study sample consists of all Palestinian public shareholding companies listed in the PEX. The comparison period used in this study consists of 30 days before Ramadan month, 30 days after Ramadan month, and Ramadan month (30 days). This gives a total of 90 days in a year for ten years (2006–2016). The GJR-GARCH technique is used. The results of the study show that Ramadan month has a remarkable effect on the stock returns of the companies in the PEX. The results indicate a significant impact on earnings per share (EPS) in the PEX. Furthermore, there is a positive relationship between the stock returns and the market value in Ramadan month. The profits are increased in the industrial and investment companies due to the high demands in Ramadan month. Therefore, the companies should work to keep a steady performance in the whole year. Besides, the capacity of industrial and investment companies should be increased to meet the high demand in Ramadan month. This study will help Palestinian investors to effectively time their trading. This study is considered one of the pioneering studies that discuss the impact of Ramadan month on the stock returns in the context of Palestine Stock Exchange.

view full abstract hide full abstract
    • Figure 1. Event period of 90 days
    • Table 1. Closing price
    • Table 2. Trading value
    • Table 3. Number of trades
    • Table 4. Share price
    • Table 5. Trading volume
    • Table 6. Volatility
    • Table 7. Augmented Dickey-Fuller unit root tests for return series
    • Table 8. Model estimation results
    • Table 9. Diagnostic test
    • Conceptualization
      Ashraf S. Hijazi
    • Investigation
      Ashraf S. Hijazi
    • Methodology
      Ashraf S. Hijazi
    • Writing – original draft
      Ashraf S. Hijazi
    • Formal Analysis
      Mosab I. Tabash
    • Supervision
      Mosab I. Tabash
    • Writing – review & editing
      Mosab I. Tabash