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Volatility, valuation ratios, and bubbles: An empirical measure of market sentiment

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  • Gao, Can
  • Martin, Ian

Abstract

We define a sentiment indicator based on option prices, valuation ratios and interest rates. The indicator can be interpreted as a lower bound on the expected growth in fundamentals that a rational investor would have to perceive in order to be happy to hold the market. The lower bound was unusually high in the late 1990s, reflecting dividend growth expectations that in our view were unreasonably optimistic. We show that our measure is a leading indicator of detrended volume and of analysts' long-term earnings growth expectations. Our approach depends on two key ingredients. First, we derive a new valuation-ratio decomposition that is related to the Campbell and Shiller (1988) loglinearization, but which resembles the Gordon growth model more closely and has certain other advantages. Second, we introduce a volatility index that provides a lower bound on the market's expected log return.

Suggested Citation

  • Gao, Can & Martin, Ian, 2021. "Volatility, valuation ratios, and bubbles: An empirical measure of market sentiment," SAFE Working Paper Series 312, Leibniz Institute for Financial Research SAFE.
  • Handle: RePEc:zbw:safewp:312
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    Cited by:

    1. Juan M. Londono & Mehrdad Samadi, 2023. "The Price of Macroeconomic Uncertainty: Evidence from Daily Options," International Finance Discussion Papers 1376, Board of Governors of the Federal Reserve System (U.S.).
    2. Florin Cornel Dumiter & Florin Turcaș & Ștefania Amalia Nicoară & Cristian Bențe & Marius Boiță, 2023. "The Impact of Sentiment Indices on the Stock Exchange—The Connections between Quantitative Sentiment Indicators, Technical Analysis, and Stock Market," Mathematics, MDPI, vol. 11(14), pages 1-26, July.
    3. Liang, Chao & Xu, Yongan & Wang, Jianqiong & Yang, Mo, 2022. "Whether dimensionality reduction techniques can improve the ability of sentiment proxies to predict stock market returns," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Nina Boyarchenko & Giovanni Favara & Moritz Schularick, 2022. "Financial Stability Considerations for Monetary Policy: Empirical Evidence and Challenges," Staff Reports 1003, Federal Reserve Bank of New York.
    5. Fousseni Chabi-Yo & Chukwuma Dim & Grigory Vilkov, 2023. "Generalized Bounds on the Conditional Expected Excess Return on Individual Stocks," Management Science, INFORMS, vol. 69(2), pages 922-939, February.
    6. Benjamin Knox & Annette Vissing-Jorgensen, 2022. "A Stock Return Decomposition Using Observables," Finance and Economics Discussion Series 2022-014, Board of Governors of the Federal Reserve System (U.S.).
    7. Antonia Lopez Villavicencio & Marc Pourroy, 2023. "Information Shocks in the U.S. and Asset Mispricing in Emerging Economies," EconomiX Working Papers 2023-19, University of Paris Nanterre, EconomiX.
    8. Ye Li & Chen Wang, 2023. "Valuation Duration of the Stock Market," Papers 2310.07110, arXiv.org.

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    More about this item

    Keywords

    bubbles; Option prices; sentiment; valuation ratios; volatility;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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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