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Alphanomics: The Informational Underpinnings of Market Efficiency

Author

Listed:
  • Lee, Charles M. C.
  • So, Eric C.

Abstract

This monograph is a compact introduction to empirical research on market efficiency, behavioral finance, and fundamental analysis. The first section reviews the evolution of academic thinking on market efficiency. Section 2 introduces the noise trader model as an alternative framework for market-related research. Section 3 surveys the growing literature on the causes and consequences of investor sentiment. Section 4 examines the role of fundamental analysis in value investing. Section 5 contains a survey of the literature on arbitrage costs and constraints, and Section 6 discusses research methodology issues associated with the need to distinguish between mispricing from risk.

Suggested Citation

  • Lee, Charles M. C. & So, Eric C., 2015. "Alphanomics: The Informational Underpinnings of Market Efficiency," Foundations and Trends(R) in Accounting, now publishers, vol. 9(2-3), pages 59-258, December.
    • Handle: RePEc:now:fntacc:1400000022
    DOI: 10.1561/1400000022
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    Citations

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    Cited by:

    1. Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019. "Technological links and predictable returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
    2. Wei, Xin & Liu, Xi & Zhang, Xueyong, 2022. "Shadow banking and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    3. Itay Goldstein & Shijie Yang & Luo Zuo, 2020. "The Real Effects of Modern Information Technologies: Evidence from the EDGAR Implementation," NBER Working Papers 27529, National Bureau of Economic Research, Inc.
    4. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    5. Chang, Danting & Li, Feng, 2023. "Uncovering the information content in abnormal institutional visits," Finance Research Letters, Elsevier, vol. 55(PB).
    6. Michael S. Drake & Jacob R. Thornock & Brady J. Twedt, 2017. "The internet as an information intermediary," Review of Accounting Studies, Springer, vol. 22(2), pages 543-576, June.
    7. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
    8. Jacob Thomas & Frank Zhang & Wei Zhu, 2021. "Dark Trading and Post-Earnings-Announcement Drift," Management Science, INFORMS, vol. 67(12), pages 7785-7811, December.
    9. Doron Israeli & Charles M. C. Lee & Suhas A. Sridharan, 2017. "Is there a dark side to exchange traded funds? An information perspective," Review of Accounting Studies, Springer, vol. 22(3), pages 1048-1083, September.
    10. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    11. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth, 2020. "Fundamental strength strategy: The role of investor sentiment versus limits to arbitrage," International Review of Financial Analysis, Elsevier, vol. 71(C).

    More about this item

    Keywords

    Market efficiency; Active investing; Valuation; Financial markets; Rationality; Investor sentiment; Noise trader;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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