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Associations between Alternative Accounting Profitability Measures and Security Returns

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  • Lee, Cheng-Few
  • Zumwalt, J. Kenton

Abstract

The importance of accounting information on security price determination is of interest to both security analysts and accountants. Beaver [3], Downes and Dyckman [6], Gonedes [12], Beaver and Manegold [4], and others have investigated the possible relationships between accounting information and market information. Rosenberg [26] has shown the existence of extra-market components of covariance in security returns while Simkowitz and Logue (S–L) [28] have derived the interdependent structure of security returns. However, none of this research has explicitly investigated how the empirical results can be affected by alternative accounting profitability measures within an industry simultaneously.

Suggested Citation

  • Lee, Cheng-Few & Zumwalt, J. Kenton, 1981. "Associations between Alternative Accounting Profitability Measures and Security Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 16(1), pages 71-93, March.
    • Handle: RePEc:cup:jfinqa:v:16:y:1981:i:01:p:71-93_00
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    Cited by:

    1. Kung-Cheng Ho & Andreas karathanasopoulos & Chia Chun Lo & Xixi Shen, 2024. "Information disclosure ratings and stock price crash risk," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1323-1348, November.
    2. Cheng Few Lee, 2020. "Financial econometrics, mathematics, statistics, and financial technology: an overall view," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1529-1578, May.
    3. Lee, Chien-Chiang & Chang, Chi-Hung & Chen, Mei-Ping, 2015. "Industry co-movements of American depository receipts: Evidences from the copula approaches," Economic Modelling, Elsevier, vol. 46(C), pages 301-314.
    4. Hong-Yi Chen & Sheng-Syan Chen & Chin-Wen Hsin & Cheng Few Lee, 2020. "Does Revenue Momentum Drive or Ride Earnings or Price Momentum?," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 94, pages 3263-3318, World Scientific Publishing Co. Pte. Ltd..

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