IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v49y2022ics1544612322003622.html
   My bibliography  Save this article

Online attention and mutual fund performance: Evidence from Norway

Author

Listed:
  • Cheraghali, Hamid
  • Igeh, Sofia Aarstad
  • Lin, Kuan-Heng
  • Molnár, Peter
  • Wijerathne, Iddamalgodage

Abstract

This paper studies whether flows of funds into and out of equity mutual funds depend on investor attention measured as Google searches for company names and on fund’s performance. We find that mutual funds which performed well in the past receive more attention and more inflows. These results hold no matter which measure of past performance is considered. Interestingly, funds which performed well in previous twelve months are also subject to increased outflows, but this relationship is less robust than relationship for inflows. Lastly, longer-term (one year) performance matters more than shorter-term (one month and six months) performance.

Suggested Citation

  • Cheraghali, Hamid & Igeh, Sofia Aarstad & Lin, Kuan-Heng & Molnár, Peter & Wijerathne, Iddamalgodage, 2022. "Online attention and mutual fund performance: Evidence from Norway," Finance Research Letters, Elsevier, vol. 49(C).
  • Handle: RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322003622
    DOI: 10.1016/j.frl.2022.103139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322003622
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2022.103139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ghoul, Sadok El & Karoui, Aymen, 2021. "What's in a (Green) Name? The Consequences of Greening Fund Names on Fund Flows, Turnover, and Performance," Finance Research Letters, Elsevier, vol. 39(C).
    2. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    3. Ippolito, Richard A, 1992. "Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 35(1), pages 45-70, April.
    4. Alda, Mercedes, 2020. "ESG fund scores in UK SRI and conventional pension funds: Are the ESG concerns of the SRI niche affecting the conventional mainstream?," Finance Research Letters, Elsevier, vol. 36(C).
    5. Damien Challet & Ahmed Bel Hadj Ayed, 2013. "Predicting financial markets with Google Trends and not so random keywords," Papers 1307.4643, arXiv.org, revised Mar 2014.
    6. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    7. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    8. French, Joseph J. & Li, Wei-Xuan, 2022. "Economic policy uncertainty and fund flows to the United States," Finance Research Letters, Elsevier, vol. 45(C).
    9. Chevalier, Judith & Ellison, Glenn, 1997. "Risk Taking by Mutual Funds as a Response to Incentives," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1167-1200, December.
    10. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October.
    11. Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
    12. Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
    13. Bazley, William J. & Dayani, Arash & Jannati, Sima, 2021. "Transient emotions, perceptions of well-being, and mutual fund flows," Finance Research Letters, Elsevier, vol. 41(C).
    14. Gallefoss, Kristoffer & Hansen, Helge Hoff & Haukaas, Eirik Solli & Molnár, Peter, 2015. "What daily data can tell us about mutual funds: Evidence from Norway," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 117-129.
    15. Chen, Hong-Yi & Chen, Hsuan-Chi & Lai, Christine W., 2021. "Internet search, fund flows, and fund performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
    16. Jennifer Huang & Kelsey D. Wei & Hong Yan, 2007. "Participation Costs and the Sensitivity of Fund Flows to Past Performance," Journal of Finance, American Finance Association, vol. 62(3), pages 1273-1311, June.
    17. Joseph, Kissan & Babajide Wintoki, M. & Zhang, Zelin, 2011. "Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1116-1127, October.
    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. Christopher P. Clifford & Jon A. Fulkerson & Russell Jame & Bradford D. Jordan, 2021. "Salience and Mutual Fund Investor Demand for Idiosyncratic Volatility," Management Science, INFORMS, vol. 67(8), pages 5234-5254, August.
    2. Teodor Dyakov & Marno Verbeek, 2019. "Can Mutual Fund Investors Distinguish Good from Bad Managers?," International Review of Finance, International Review of Finance Ltd., vol. 19(3), pages 505-540, September.
    3. Florian Röder & Andreas Walter, 2019. "What Drives Investment Flows Into Social Trading Portfolios?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(2), pages 383-411, July.
    4. Shi, Yang & Chen, Shu & Liu, Ruiming & Kang, Yankun, 2022. "Fund renaming and fund flows: Evidence from China's stock market crash in 2015," Economic Modelling, Elsevier, vol. 108(C).
    5. Ramiro Losada, 2022. "La información pública periódica de los fondos de inversión: como influyen en las decisiones de los inversores," CNMV Documentos de Trabajo CNMV Documentos de Trabaj, CNMV- Comisión Nacional del Mercado de Valores - Departamento de Estudios y Estadísticas.
    6. Dariusz Filip, 2021. "A Review of Main Strands on the Flow-Performance Relationship of Mutual Funds," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 7(3), pages 245-256, July.
    7. Ramiro Losada, 2022. "Periodic public information on investment funds and how it influences investors´ decisions," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    8. Agarwal, Vikas & Gay, Gerald D. & Ling, Leng, 2013. "Window dressing in mutual funds," CFR Working Papers 11-07 [rev.2], University of Cologne, Centre for Financial Research (CFR).
    9. Jennifer Huang & Kelsey D. Wei & Hong Yan, 2022. "Investor learning and mutual fund flows," Financial Management, Financial Management Association International, vol. 51(3), pages 739-765, September.
    10. Noam Ben-Ze'ev, 2023. "Drivers of Flows-Performance Sensitivity in Mutual Funds," Bank of Israel Working Papers 2023.06, Bank of Israel.
    11. Agarwal, Vikas & Gay, Gerald D. & Ling, Leng, 2014. "Window dressing in mutual funds," CFR Working Papers 11-07 [rev.3], University of Cologne, Centre for Financial Research (CFR).
    12. Agarwal, Vikas & Gay, Gerald D. & Ling, Leng, 2012. "Performance inconsistency in mutual funds: An investigation of window-dressing behavior," CFR Working Papers 11-07 [rev.], University of Cologne, Centre for Financial Research (CFR).
    13. Rakowski, David & Yamani, Ehab, 2021. "Endogeneity in the mutual fund flow–performance relationship: An instrumental variables solution," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 247-271.
    14. Goldstein, Itay & Jiang, Hao & Ng, David T., 2017. "Investor flows and fragility in corporate bond funds," Journal of Financial Economics, Elsevier, vol. 126(3), pages 592-613.
    15. Gennaro Bernile & Vineet Bhagwat & Ambrus Kecskés & Phuong‐Anh Nguyen, 2021. "Are the risk attitudes of professional investors affected by personal catastrophic experiences?," Financial Management, Financial Management Association International, vol. 50(2), pages 455-486, June.
    16. Yang Song, 2020. "The Mismatch Between Mutual Fund Scale and Skill," Journal of Finance, American Finance Association, vol. 75(5), pages 2555-2589, October.
    17. Ammann, Manuel & Bauer, Christopher & Fischer, Sebastian & Mueller, Philipp, 2017. "Tha Impact of the Morningstar Sustainability Rating on Mutual Fund Flows," Working Papers on Finance 1718, University of St. Gallen, School of Finance, revised Nov 2017.
    18. Cvitanic, Jaksa & Lazrak, Ali & Wang, Tan, 2008. "Implications of the Sharpe ratio as a performance measure in multi-period settings," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1622-1649, May.
    19. Gu Wang & Jiaxuan Ye, 2023. "Fund Managers’ Competition for Investment Flows Based on Relative Performance," Journal of Optimization Theory and Applications, Springer, vol. 198(2), pages 605-643, August.
    20. Martin Rohleder & Dominik Schulte & Marco Wilkens, 2017. "Management of flow risk in mutual funds," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 31-56, January.

    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:eee:finlet:v:49:y:2022:i:c:s1544612322003622. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.