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Risk factors in the Indonesian stock market

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  • Li, Nanqi
  • Wei, Chishen
  • Zhang, Linti

Abstract

This paper identifies the relevant risk factors that determine the cross-section of returns in the Indonesian stock market. We examine 152 factors using the Bayesian framework developed in Jensen et al. (2022). Our results show that size, value, quality, and profitability are the characteristics themes that explain future cross-sectional stock returns during the period 1991–2022. Momentum is not significant. We document differences in factor returns for stocks that adhere to Sharia law (i.e. Islamic finance principles). Value and size return patterns occur across all stocks, but significant posterior alphas for quality and profitability reliably exist only within non-Sharia stocks.

Suggested Citation

  • Li, Nanqi & Wei, Chishen & Zhang, Linti, 2023. "Risk factors in the Indonesian stock market," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:pacfin:v:82:y:2023:i:c:s0927538x23002469
    DOI: 10.1016/j.pacfin.2023.102175
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    References listed on IDEAS

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    1. Rob Bauer & Mathijs Cosemans & Peter C. Schotman, 2010. "Conditional Asset Pricing and Stock Market Anomalies in Europe," European Financial Management, European Financial Management Association, vol. 16(2), pages 165-190, March.
    2. Yang, Ann Shawing & Pangastuti, Airin, 2016. "Stock market efficiency and liquidity: The Indonesia Stock Exchange merger," Research in International Business and Finance, Elsevier, vol. 36(C), pages 28-40.
    3. Chang, Rosita P. & Ghon Rhee, S. & Soedigno, Susatio, 1995. "Price volatility of Indonesian stocks," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 337-355, July.
    4. James Kung & Andrew Carverhill & Ross McLeod, 2010. "Indonesia's stock market: evolving role, growing efficiency," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 46(3), pages 329-346.
    5. Alessandro Beber & Marco Pagano, 2013. "Short-Selling Bans Around the World: Evidence from the 2007–09 Crisis," Journal of Finance, American Finance Association, vol. 68(1), pages 343-381, February.
    6. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    7. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    10. Bonser-Neal, Catherine & Linnan, David & Neal, Robert, 1999. "Emerging market transaction costs: Evidence from Indonesia," Pacific-Basin Finance Journal, Elsevier, vol. 7(2), pages 103-127, May.
    11. Sharma, Susan Sunila & Narayan, Paresh Kumar & Thuraisamy, Kannan & Laila, Nisful, 2019. "Is Indonesia's stock market different when it comes to predictability?," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    12. Jacobs, Heiko & Müller, Sebastian, 2020. "Anomalies across the globe: Once public, no longer existent?," Journal of Financial Economics, Elsevier, vol. 135(1), pages 213-230.
    13. Irwan A. Ekaputra & Chunlin Liu & S. Ghon Rhee & Hongchao Zeng, 2021. "Intraday order placement and execution in a limit order market: Evidence from the Indonesia stock market," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 404-429, June.
    14. Thanh D. Huynh, 2018. "Explaining Anomalies in Australia with a Five†factor Asset Pricing Model," International Review of Finance, International Review of Finance Ltd., vol. 18(1), pages 123-135, March.
    15. Imamah, Nur & Lin, Tsui-Jung & Suhadak, & Handayani, Siti Ragil & Hung, Jung-Hua, 2019. "Islamic law, corporate governance, growth opportunities and dividend policy in Indonesia stock market," Pacific-Basin Finance Journal, Elsevier, vol. 55(C), pages 110-126.
    16. Titman, Sheridan & John Wei, K. C. & Xie, Feixue, 2013. "Market Development and the Asset Growth Effect: International Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(5), pages 1405-1432, October.
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    More about this item

    Keywords

    Indonesian stock market; Factor returns; Stock market anomalies; Bayesian analysis; Machine learning;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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