IDEAS home Printed from https://ideas.repec.org/p/ise/remwps/wp03652025.html
   My bibliography  Save this paper

Measuring Sentiment: The Impact on Financial Markets Volatility

Author

Listed:
  • Maria Teresa Medeiros Garcia
  • Carolina e Silva Correia de Carvalho

Abstract

This paper provides insights into the impact of sentiment factors on stock market volatility using monthly panel data from Germany, the UK and the US from 2002-2022. The main objective is to understand how the consumer confidence index, the trading volume, the put/call ratio, and the number of IPOs - components of the sentiment index used in this research - affect the volatility of the DAX 40, FTSE 100, and S&P 500 indices, respectively. The results suggest that investor sentiment has an impact on market volatility in all three indices. A higher consumer confidence index correlates with lower volatility, suggesting that positive sentiment stabilizes markets. Conversely, increased trading volume and a higher put/call ratio are associated with increased volatility, reflecting greater market activity and investor uncertainty. In addition, the number of IPOs serves as a sentiment gauge, with increased IPO activity corresponding to a more optimistic market outlook and contributing to lower volatility. Overall, the results underscore the importance of integrating sentiment measures into financial analysis and provide valuable insights for investors and policymakers seeking to understand and manage market fluctuations. This research contributes to the behavioural finance literature by elucidating the complex interplay between investor sentiment and stock market behaviour.

Suggested Citation

  • Maria Teresa Medeiros Garcia & Carolina e Silva Correia de Carvalho, 2025. "Measuring Sentiment: The Impact on Financial Markets Volatility," Working Papers REM 2025/0365, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    • Handle: RePEc:ise:remwps:wp03652025
    as

    Download full text from publisher

    File URL: https://rem.rc.iseg.ulisboa.pt/wps/pdf/REM_WP_0365_2025.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    2. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    3. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Ung, Sze Nie & Gebka, Bartosz & Anderson, Robert D.J., 2023. "Is sentiment the solution to the risk–return puzzle? A (cautionary) note," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    3. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021, January-A.
    4. Muhammad Zia Ur Rehman & Zain ul Abidin & Faisal Rizwan & Zaheer Abbas & Sajjad Ahmad Baig, 2017. "How investor sentiments spillover from developed countries to developing countries?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1309096-130, January.
    5. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    6. Utku Uygur & Oktay Taş, 2014. "The impacts of investor sentiment on returns and conditional volatility of international stock markets," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1165-1179, May.
    7. Nizar Raissi & Sahbi Missaoui, 2015. "Role of investor sentiment in financial markets: an explanation by behavioural finance approach," International Journal of Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(4), pages 362-401.
    8. Ni, Zhong-Xin & Wang, Da-Zhong & Xue, Wen-Jun, 2015. "Investor sentiment and its nonlinear effect on stock returns—New evidence from the Chinese stock market based on panel quantile regression model," Economic Modelling, Elsevier, vol. 50(C), pages 266-274.
    9. Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.
    10. Zhen Peng & Changsheng Hu, 2020. "Leveraged Trading, Irrational Sentiment and Sustainability in the Stock Market: Evidence from China," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    11. Dash, Saumya Ranjan & Maitra, Debasish, 2018. "Does sentiment matter for stock returns? Evidence from Indian stock market using wavelet approach," Finance Research Letters, Elsevier, vol. 26(C), pages 32-39.
    12. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    13. 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).
    14. Rama Krishna Yelamanchili, 2019. "Impact of Consumer Sentiment on Defensive and Aggressive Stock Returns: Indian Evidence," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 109-114.
    15. Junmao Chiu & Huimin Chung & Keng-Yu Ho, 2014. "Fear Sentiment, Liquidity, and Trading Behavior: Evidence from the Index ETF Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-25.
    16. Ying-Fen Fu, 2014. "Individual Fund Manager Sentiment, Fund Performance and Performance Persistence," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 870-885.
    17. Mehmet Balcilar & Rangan Gupta & Clement Kyei, 2018. "Predicting Stock Returns And Volatility With Investor Sentiment Indices: A Reconsideration Using A Nonparametric Causality†In†Quantiles Test," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 74-87, January.
    18. Aissia, Dorsaf Ben, 2016. "Home and foreign investor sentiment and the stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 71-77.
    19. Martyna Marczak & Thomas Beissinger, 2016. "Bidirectional relationship between investor sentiment and excess returns: new evidence from the wavelet perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1305-1311, December.
    20. Dragos Stefan Oprea & Laura Brad, 2014. "Investor Sentiment and Stock Returns: Evidence from Romania," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 19-25, April.

    More about this item

    Keywords

    sentiment; volatility; stock market.;
    All these keywords.

    JEL classification:

    • 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
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ise:remwps:wp03652025. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sandra Araújo (email available below). General contact details of provider: https://rem.rc.iseg.ulisboa.pt/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.