IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/vxxiiy2022i2p943-952.html
   My bibliography  Save this article

Air Pollution, Mood and Stock Return in Romania

Author

Listed:
  • Aurora Murgea

    (West University of Timisoara, Faculty of Economics and Business Administration, Romania)

Abstract

Considered one of the major threats of our times for the human species, air pollution was proven to have multiple psychological, social and economic effects. In the last two decades, the relationship between air pollution and the stock market was analysed mainly for the Chinese stock market, with very few papers oriented towards other markets. The present paper tries to fulfil this gap by exploring this relationship for the Romanian stock market. The main results show that relative pollution values (mainly PM10) and pollution awareness impact stock returns in Bucharest Stock Market, in line with the assumption of the Mood Maintenance Hypothesis.

Suggested Citation

  • Aurora Murgea, 2022. "Air Pollution, Mood and Stock Return in Romania," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 943-952, Decembrie.
    • Handle: RePEc:ovi:oviste:v:xxii:y:2022:i:2:p:943-952
    as

    Download full text from publisher

    File URL: https://stec.univ-ovidius.ro/html/anale/RO/2022-issue2/Section%205/18.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    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. 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.
    2. Florian Meier, 2020. "The Age of Cheap Money and Passive Investing: Are Pro Forma Earnings Value Relevant?," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 9(2), pages 1-1.
    3. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    4. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Laureti, Carolina & Szafarz, Ariane, 2023. "Banking regulation and costless commitment contracts for time-inconsistent agents," Economic Modelling, Elsevier, vol. 129(C).
    6. Scheffknecht, Lukas & Geiger, Felix, 2011. "A behavioral macroeconomic model with endogenous boom-bust cycles and leverage dynamcis," FZID Discussion Papers 37-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    7. Shraddha Mishra & Raj Kumar, 2016. "Investigation of overvalued and undervalued stocks: the case of BSE Sensex," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 10(2), pages 177-189.
    8. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    9. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    10. Zimper, Alexander, 2012. "Asset pricing in a Lucas fruit-tree economy with the best and worst in mind," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 610-628.
    11. Hong, Harrison G & de Paula, Aureo & Singh, Vishal, 2015. "Hoard Behavior During Commodity Bubbles," CEPR Discussion Papers 10441, C.E.P.R. Discussion Papers.
    12. Olivier Rousse & Benoît Sévi, 2017. "Informed Trading in Oil-Futures Market," Working Papers hal-01460186, HAL.
    13. Abootaleb Shirvani & Svetlozar T. Rachev & Frank J. Fabozzi, 2019. "A Rational Finance Explanation of the Stock Predictability Puzzle," Papers 1911.02194, arXiv.org.
    14. Wu, Chen-Hui & Wu, Chin-Shun & Liu, Victor W., 2009. "The conservatism bias in an emerging stock market: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 494-505, September.
    15. Tarnaud, Albane Christine & Leleu, Hervé, 2018. "Portfolio analysis with DEA: Prior to choosing a model," Omega, Elsevier, vol. 75(C), pages 57-76.
    16. Suleyman Basak & Hongjun Yan, 2010. "Equilibrium Asset Prices and Investor Behaviour in the Presence of Money Illusion," Review of Economic Studies, Oxford University Press, vol. 77(3), pages 914-936.
    17. Raphaëlle Bellando & Sébastien Ringuedé, 2007. "Compétition entre fonds et prise de risque excessive : une application empirique au cas des OPCVM actions de droit français," Post-Print halshs-00226341, HAL.
    18. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.
    19. Bhatia, Ankita & Chandani, Arti & Chhateja, Jagriti, 2020. "Robo advisory and its potential in addressing the behavioral biases of investors — A qualitative study in Indian context," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    20. An, Li & Lou, Dong & Shi, Donghui, 2022. "Wealth redistribution in bubbles and crashes," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 134-153.

    More about this item

    Keywords

    pollution; mood misattribution; risk aversion; stock returns;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

    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:ovi:oviste:v:xxii:y:2022:i:2:p:943-952. 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: Gheorghiu Gabriela (email available below). General contact details of provider: https://edirc.repec.org/data/feoviro.html .

    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.