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Volatility, Valuation Ratios, and Bubbles: An Empirical Measure of Market Sentiment

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  • CAN GAO
  • IAN W. R. MARTIN

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 to be happy to hold the market. The bound was unusually high in the late 1990s, reflecting dividend growth expectations that in our view were unreasonably optimistic. Our approach exploits two key ingredients. First, we derive a new valuation ratio decomposition that is related to the Campbell–Shiller loglinearization but that 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.

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  • Can Gao & Ian W. R. Martin, 2021. "Volatility, Valuation Ratios, and Bubbles: An Empirical Measure of Market Sentiment," Journal of Finance, American Finance Association, vol. 76(6), pages 3211-3254, December.
  • Handle: RePEc:bla:jfinan:v:76:y:2021:i:6:p:3211-3254
    DOI: 10.1111/jofi.13068
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    Cited by:

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    3. 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.).
    4. 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.).
    5. 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.
    6. 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).
    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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