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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.

Suggested Citation

  • 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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    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. Long, Huaigang & Chiah, Mardy & Zaremba, Adam & Umar, Zaghum, 2024. "Changes in shares outstanding and country stock returns around the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    5. 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.).
    6. 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.
    7. 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).
    8. Cai, Jin & Pagano, Michael S. & Sedunov, John, 2023. "The role of investor sentiment in bank liquidity creation," Finance Research Letters, Elsevier, vol. 58(PD).
    9. 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.
    10. Ye Li & Chen Wang, 2023. "Valuation Duration of the Stock Market," Papers 2310.07110, arXiv.org.

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    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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