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Detecting exuberance phenomena in thematic investing

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  • Braga, Maria Debora
  • Genoni, Giulia
  • Vacca, Gianmarco

Abstract

Thematic investing is an investment approach that recommends exploiting investment opportunities prompted by structural transformations called megatrends. Its peculiarities may provide a fertile context for the occurrence of bubbles. This study contributes to the empirical analysis on this topic. It is carried out with reference to the thematic benchmarks developed by MSCI and inspired by the megatrend ”Transformative Technologies”. The results, obtained with Levels based on Recent Discovery, or LORD, for the real-time detection of bubbles, confirm and date their occurrence. This study has implications for investors in terms of how to approach thematic investing and allocate to thematic investments.

Suggested Citation

  • Braga, Maria Debora & Genoni, Giulia & Vacca, Gianmarco, 2025. "Detecting exuberance phenomena in thematic investing," Finance Research Letters, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:finlet:v:75:y:2025:i:c:s1544612325001539
    DOI: 10.1016/j.frl.2025.106889
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    References listed on IDEAS

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    1. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    2. Morris, John J. & Alam, Pervaiz, 2012. "Value relevance and the dot-com bubble of the 1990s," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(2), pages 243-255.
    3. Sornette, Didier & Cauwels, Peter, 2015. "Managing risk in a creepy world," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 8(1), pages 83-108, January.
    4. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    5. Peter C. B. Phillips & Jun Yu, 2011. "Dating the timeline of financial bubbles during the subprime crisis," Quantitative Economics, Econometric Society, vol. 2(3), pages 455-491, November.
    6. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    7. Frank J. Fabozzi & Iason Kynigakis & Ekaterini Panopoulou & Radu S. Tunaru, 2020. "Detecting Bubbles in the US and UK Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 469-513, May.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Koye Somefun & Romain Perchet & Chenyang Yin & Raul Leote de Carvalho, 2023. "Allocating to Thematic Investments," Financial Analysts Journal, Taylor & Francis Journals, vol. 79(1), pages 18-36, January.
    10. Florian Methling & Rüdiger Nitzsch, 2019. "Thematic portfolio optimization: challenging the core satellite approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 133-154, June.
    11. Itzhak Ben-David & Francesco Franzoni & Byungwook Kim & Rabih Moussawi & Ralph Koijen, 2023. "Competition for Attention in the ETF Space," The Review of Financial Studies, Society for Financial Studies, vol. 36(3), pages 987-1042.
    12. Fabra, Natalia, 2023. "Reforming European electricity markets: Lessons from the energy crisis," Energy Economics, Elsevier, vol. 126(C).
    13. Giulia Genoni & Piero Quatto & Gianmarco Vacca, 2024. "Detecting bubbles via FDR and FNR based on calibrated p-values," Quantitative Finance, Taylor & Francis Journals, vol. 24(10), pages 1463-1491, October.
    14. Carlota Perez, 2009. "The double bubble at the turn of the century: technological roots and structural implications," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 33(4), pages 779-805, July.
    15. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1043-1078, November.
    16. repec:bla:jfinan:v:59:y:2004:i:5:p:2013-2040 is not listed on IDEAS
    17. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    18. Segarra, Ignacio & Atanasova, Christina & Figuerola-Ferretti, Isabel, 2024. "Electricity markets regulations: The financial impact of the global energy crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    19. Basse, Tobias & Karmani, Majdi & Rjiba, Hatem & Wegener, Christoph, 2023. "Does adhering to the principles of green finance matter for stock valuation? Evidence from testing for (co-)explosiveness," Energy Economics, Elsevier, vol. 123(C).
    20. Maouchi, Youcef & Charfeddine, Lanouar & El Montasser, Ghassen, 2022. "Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs," Finance Research Letters, Elsevier, vol. 47(PA).
    21. Genoni, Giulia & Quatto, Piero & Vacca, Gianmarco, 2023. "Dating financial bubbles via online multiple testing procedures," Finance Research Letters, Elsevier, vol. 58(PA).
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