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Can Accounting Value Relevance and Pricing Error Influence Stock Price of High-Technology Service Enterprises?

Author

Listed:
  • Citra Sukmadilaga

    (Accounting Department, Faculty of Economics and Business, Universitas Padjadjaran, Bandung 45363, Indonesia)

  • Jose Christian Santoso

    (Accounting Department, Faculty of Economics and Business, Universitas Padjadjaran, Bandung 45363, Indonesia)

  • Erlane K. Ghani

    (Faculty of Accountancy, Universiti Teknologi MARA Cawangan Selangor, Puncak Alam 42300, Malaysia)

Abstract

This study examines whether relevant accounting ratios influence the stock prices of high-technology service enterprises in five countries, namely, the United States, Japan, China, the United Kingdom, and France. Subsequently, this study determines the existence of pricing error (if any) between the intrinsic value and the market value of the stock price due to the accounting ratios. Content analysis was performed on the annual reports of 326 high-technology service enterprises to determine the effect of three accounting ratios, namely diluted earnings per share, revenue per share, and book value per share, on the stock price of the high-technology service enterprises. This study shows that diluted earnings per share and book value per share influence the stock price of high-technology service enterprises. However, this study shows revenue per share does not influence the stock price of high-technology service enterprises. In addition, this study shows that, on average, the pricing error of high-technology services enterprises is considered moderate, with some countries exhibiting higher pricing errors. This study provides insight into how much accounting ratios can influence the movement of stock prices and, in turn, assist investors in understanding the key metrics within the high-technology industry.

Suggested Citation

  • Citra Sukmadilaga & Jose Christian Santoso & Erlane K. Ghani, 2023. "Can Accounting Value Relevance and Pricing Error Influence Stock Price of High-Technology Service Enterprises?," Economies, MDPI, vol. 11(2), pages 1-14, February.
  • Handle: RePEc:gam:jecomi:v:11:y:2023:i:2:p:48-:d:1055015
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    References listed on IDEAS

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    1. Pennings, Steven & Ramayandi, Arief & Tang, Hsiao Chink, 2015. "The impact of monetary policy on financial markets in small open economies: More or less effective during the global financial crisis?," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 60-70.
    2. Amir, Eli & Lev, Baruch, 1996. "Value-relevance of nonfinancial information: The wireless communications industry," Journal of Accounting and Economics, Elsevier, vol. 22(1-3), pages 3-30, October.
    3. Miah, Fazlul & Khalifa, Ahmed Ali & Hammoudeh, Shawkat, 2016. "Further evidence on the rationality of interest rate expectations: A comprehensive study of developed and emerging economies," Economic Modelling, Elsevier, vol. 54(C), pages 574-590.
    4. Jegadeesh, Narasimhan & Livnat, Joshua, 2006. "Revenue surprises and stock returns," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 147-171, April.
    5. Alford, Aw, 1992. "The Effect Of The Set Of Comparable Firms On The Accuracy Of The Price Earnings Valuation Method," Journal of Accounting Research, Wiley Blackwell, vol. 30(1), pages 94-108.
    6. Itay Kama, 2009. "On the Market Reaction to Revenue and Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 31-50, January.
    7. Paul Gerrans & Robert Faff & Neil Hartnett & Henk Berkman, 2015. "Individual financial risk tolerance and the global financial crisis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(1), pages 165-185, March.
    8. Lev, B & Zarowin, P, 1999. "The boundaries of financial reporting and how to extend them," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 353-385.
    9. Hung, Mingyi, 2000. "Accounting standards and value relevance of financial statements: An international analysis," Journal of Accounting and Economics, Elsevier, vol. 30(3), pages 401-420, December.
    10. Mustafa Ciftci & Masako Darrough & Raj Mashruwala, 2014. "Value Relevance of Accounting Information for Intangible-Intensive Industries and the Impact of Scale: The US Evidence," European Accounting Review, Taylor & Francis Journals, vol. 23(2), pages 199-226, June.
    11. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    12. Itay Kama, 2009. "On the Market Reaction to Revenue and Earnings Surprises," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1-2), pages 31-50.
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