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Natural Disasters, Investor Attention, and Non-Fundamental Green Asset Demand

Author

Listed:
  • Misev, Marina A.

    (University of Basel)

  • Balles, Patrick

    (University of Basel)

Abstract

This study examines how the occurrence of natural disasters in the U.S. influences investor interest in green assets and actual investments, focusing on inflows into green ETFs as a proxy for non-fundamental demand. Event study analyses demonstrate both increases in investor interest in eco-friendly investments (proxied by Google searches) and inflows into green ETFs following disasters, driven by the period following the 2015 Paris Agreement. The additional inflows average about USD 4.3 million in the week directly following disasters, compared to average inflows of around USD 1.1 million in the non-disaster reference window. Importantly, both effects disappear when other attention-grabbing events, such as terrorist attacks or mass shootings, occur simultaneously with disasters. Analysis of climate change coverage across U.S. media suggests that media attention devoted to climate change concerns drives the documented shifts in investor behavior towards green investments. Furthermore, analysis of flows in brown ETFs (e.g., the oil and gas sector) reveals analogous disinvestments in the wake of disasters, but notably, only in the absence of concurrent distracting events.

Suggested Citation

  • Misev, Marina A. & Balles, Patrick, 2024. "Natural Disasters, Investor Attention, and Non-Fundamental Green Asset Demand," Working papers 2024/07, Faculty of Business and Economics - University of Basel.
  • Handle: RePEc:bsl:wpaper:2024/07
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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