Investor behavior under the Covid-19 pandemic: the case of Indonesia

  • Received June 6, 2020;
    Accepted September 21, 2020;
    Published October 1, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/imfi.17(3).2020.23
  • Article Info
    Volume 17 2020, Issue #3, pp. 308-318
  • TO CITE АНОТАЦІЯ
  • Cited by
    6 articles
  • 3219 Views
  • 703 Downloads

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

This study begins with the assumption that the existence of abnormal circumstances will force investors to take measures to protect their investments in the capital market. Recently, the stock index in the Indonesian market has been declining and continued to fall until the end of April 2020 due to the impact of the Covid-19 pandemic. In terms of efficient market theory, prospect theory and signaling theory, this study aims to analyze the relationship between risk and return in the Indonesian capital market during the Covid-19 pandemic as a manifestation of investor behavior. To test hypotheses, the correlation test, the independent sample t-test and the Cohen test for 629 public firms with 52,836 observable data are used. The findings show that for financial sectors and non-financial sectors, the fourth period differs from previous periods when the relationship between systematic risk and stock returns is positive, although only non-financial sectors have a significant effect. The results show that efficient market theory, prospect theory and signaling theory are consistent with the phenomena around the Covid-19 pandemic in Indonesia. In addition, Cohen’s test results suggest that government policies in the face of the pandemic are successful in stimulating the market.

view full abstract hide full abstract
    • Table 1. Descriptive statistics
    • Table 2. Correlation analysis (systematic risk is stock beta)
    • Table 3. Correlation analysis (systematic risk is the coefficient of determination)
    • Table 4. Independent sample t-test
    • Table 5. Effect size test
    • Conceptualization
      Novi Swandari Budiarso
    • Formal Analysis
      Novi Swandari Budiarso
    • Methodology
      Novi Swandari Budiarso, Abdul Wahab Hasyim
    • Data curation
      Abdul Wahab Hasyim
    • Funding acquisition
      Abdul Wahab Hasyim
    • Investigation
      Rusman Soleman
    • Project administration
      Rusman Soleman
    • Resources
      Rusman Soleman
    • Software
      Irfan Zam Zam
    • Supervision
      Irfan Zam Zam
    • Validation
      Irfan Zam Zam
    • Visualization
      Winston Pontoh
    • Writing – original draft
      Winston Pontoh
    • Writing – review & editing
      Winston Pontoh