IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v7y2019i2p30-d239245.html
   My bibliography  Save this article

Investor Attention and Stock Market Activities: New Evidence from Panel Data

Author

Listed:
  • Chaiyuth Padungsaksawasdi

    (Thammasat Business School, Department of Finance, Thammasat University, Bangkok 10200, Thailand)

  • Sirimon Treepongkaruna

    (University of Western Australia Business School, Accounting and Finance, The University of Western Australia, 6009 Perth, Australia)

  • Robert Brooks

    (Monash Business School, Department of Econometrics and Business Statistics, Monash University, Clayton VIC 3800, Australia)

Abstract

Using the panel vector autoregression (VAR) method, this paper documents relationships between investor attention and stock market activities; i.e., return, volatility, and trading volume, respectively. In sum, bidirectional dynamic interdependence of the SVI–stock market activities relationship exists, in which the SVI–trading volume relationship shows the strongest evidence. This is consistent with prior literature using trading volume as a proxy of investor attention. However, the relationships in the developed and developing markets are statistically significantly different. The stock markets in the developed markets over-react more to the search volume than those in the developing markets. We postulate that investor attention is one of the key elements in asset pricing in stock markets.

Suggested Citation

  • Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    • Handle: RePEc:gam:jijfss:v:7:y:2019:i:2:p:30-:d:239245
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/7/2/30/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/7/2/30/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. Hamid, Alain & Heiden, Moritz, 2015. "Forecasting volatility with empirical similarity and Google Trends," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 62-81.
    3. Goddard, John & Kita, Arben & Wang, Qingwei, 2015. "Investor attention and FX market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 79-96.
    4. Karen Benson & Robert Faff & Tom Smith & Steven Cahan, 2014. "Fifty years of finance research in the Asia Pacific Basin," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(2), pages 335-363, June.
    5. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    6. Rousseau, P. L. & Wachtel, P., 2000. "Equity markets and growth: Cross-country evidence on timing and outcomes, 1980-1995," Journal of Banking & Finance, Elsevier, vol. 24(12), pages 1933-1957, December.
    7. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    8. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    9. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    10. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    11. Alireza Tourani‐Rad & Stephen Kirkby, 2005. "Investigation of investors' overconfidence, familiarity and socialization," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(2), pages 283-300, July.
    12. Zhi Da & Umit G. Gurun & Mitch Warachka, 2014. "Frog in the Pan: Continuous Information and Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 27(7), pages 2171-2218.
    13. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    14. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
    15. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    16. Sirimon Treepongkaruna & Robert Brooks & Stephen Gray, 2012. "Do trading hours affect volatility links in the foreign exchange market?," Australian Journal of Management, Australian School of Business, vol. 37(1), pages 7-27, April.
    17. Noel Harding & Wen He & Steven Cahan, 2016. "Investor mood and the determinants of stock prices: an experimental analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(2), pages 445-478, June.
    18. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    19. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    20. Qianwei Ying & Dongmin Kong & Danglun Luo, 2015. "Investor Attention, Institutional Ownership, and Stock Return: Empirical Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(3), pages 672-685, May.
    21. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2014. "How does trading volume affect financial return distributions?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 190-206.
    22. Tsai, I-Chun, 2017. "Diffusion of optimistic and pessimistic investor sentiment: An empirical study of an emerging market," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 22-34.
    23. Mark Johnman & Bruce James Vanstone & Adrian Gepp, 2018. "Predicting FTSE 100 returns and volatility using sentiment analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 253-274, November.
    24. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
    25. Grossmann, Axel & Love, Inessa & Orlov, Alexei G., 2014. "The dynamics of exchange rate volatility: A panel VAR approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 1-27.
    26. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    27. Lin Peng & Wei Xiong & Tim Bollerslev, 2007. "Investor Attention and Time‐varying Comovements," European Financial Management, European Financial Management Association, vol. 13(3), pages 394-422, June.
    28. 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.
    29. Yung, Kenneth & Nafar, Nadia, 2017. "Investor attention and the expected returns of reits," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 423-439.
    30. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
    31. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    32. Karim Rochdi & Marian Dietzel, 2015. "Outperforming the benchmark: online information demand and REIT market performance," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 33(2), pages 169-195, March.
    33. Pedro Piccoli & Newton C. A. da Costa & Wesley Vieira da Silva & June A. W. Cruz, 2018. "Investor sentiment and the risk–return tradeoff in the Brazilian market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 599-618, November.
    34. Takeda, Fumiko & Wakao, Takumi, 2014. "Google search intensity and its relationship with returns and trading volume of Japanese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 1-18.
    35. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    36. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    37. Sirimon Treepongkaruna & Stephen Gray, 2009. "Information and volatility links in the foreign exchange market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(2), pages 385-405, June.
    38. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
    39. 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.
    40. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    41. Aouadi, Amal & Arouri, Mohamed & Teulon, Frédéric, 2013. "Investor attention and stock market activity: Evidence from France," Economic Modelling, Elsevier, vol. 35(C), pages 674-681.
    42. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    43. Nattapong Laksomya & John G. Powell & Suparatana Tanthanongsakkun & Sirimon Treepongkaruna, 2018. "Are Internet message boards used to facilitate stock price manipulation? Evidence from an emerging market, Thailand," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 275-309, November.
    44. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    45. Daniel Andrei & Michael Hasler, 2015. "Investor Attention and Stock Market Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 33-72.
    46. Kazuhiko Hayakawa, 2009. "First Difference or Forward Orthogonal Deviation- Which Transformation Should be Used in Dynamic Panel Data Models?: A Simulation Study," Economics Bulletin, AccessEcon, vol. 29(3), pages 2008-2017.
    47. Nicole Braun, 2016. "Google search volume sentiment and its impact on REIT market movements," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 34(3), pages 249-262, April.
    48. Tantaopas, Parkpoom & Padungsaksawasdi, Chaiyuth & Treepongkaruna, Sirimon, 2016. "Attention effect via internet search intensity in Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 107-124.
    49. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    2. Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    3. Imene Ben El Hadj Said & Skander Slim, 2022. "The Dynamic Relationship between Investor Attention and Stock Market Volatility: International Evidence," JRFM, MDPI, vol. 15(2), pages 1-25, February.
    4. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    5. Batrancea Larissa, 2020. "Stock Market Reactions To Covid-19: The Case Of Nyse," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 17-23, December.
    6. José Emilio Farinós & Begoña Herrero & Miguel Ángel Latorre, 2021. "Investor Inattention to All-Cash Acquisition Announcements: A Joint Day-Time Analysis in the Spanish Market," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    7. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna, 2023. "Investor Attention and Global Stock Market Volatility: Evidence from COVID-19," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(1), pages 85-104, March.
    8. Glenn Kit Foong Ho & Sirimon Treepongkaruna & Marvin Wee & Chaiyuth Padungsaksawasdi, 2022. "The effect of short selling on volatility and jumps," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 34-52, February.

    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. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
    2. Chen, Zhongdong & Craig, Karen Ann, 2023. "Active attention, retail investor base, and stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    3. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    4. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    5. Ramos, Sofia B. & Latoeiro, Pedro & Veiga, Helena, 2020. "Limited attention, salience of information and stock market activity," Economic Modelling, Elsevier, vol. 87(C), pages 92-108.
    6. Papadamou, Stephanos & Fassas, Athanasios & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2020. "Direct and Indirect Effects of COVID-19 Pandemic on Implied Stock Market Volatility: Evidence from Panel Data Analysis," MPRA Paper 100020, University Library of Munich, Germany.
    7. Marmora, Paul, 2021. "Individual investor ownership and the news coverage premium," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 494-507.
    8. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    9. María José Ayala & Nicolás Gonzálvez-Gallego & Rocío Arteaga-Sánchez, 2024. "Google search volume index and investor attention in stock market: a systematic review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    10. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
    11. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    12. Sifat, Imtiaz Mohammad & Thaker, Hassanudin Mohd Thas, 2020. "Predictive power of web search behavior in five ASEAN stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    13. Tantaopas, Parkpoom & Padungsaksawasdi, Chaiyuth & Treepongkaruna, Sirimon, 2016. "Attention effect via internet search intensity in Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 107-124.
    14. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
    15. Tariq Aziz & Valeed Ahmad Ansari, 2021. "How Does Google Search Affect the Stock Market? Evidence from Indian Companies," Vision, , vol. 25(2), pages 224-232, June.
    16. Kim, Neri & Lučivjanská, Katarína & Molnár, Peter & Villa, Roviel, 2019. "Google searches and stock market activity: Evidence from Norway," Finance Research Letters, Elsevier, vol. 28(C), pages 208-220.
    17. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
    18. de Castro, Jessica & Piccoli, Pedro, 2023. "Do online searches actually measure future retail investor trades?," International Review of Financial Analysis, Elsevier, vol. 86(C).
    19. Cheng, Feiyang & Wang, Chunfeng & Chiao, Chaoshin & Yao, Shouyu & Fang, Zhenming, 2021. "Retail attention, retail trades, and stock price crash risk," Emerging Markets Review, Elsevier, vol. 49(C).
    20. Chen, Zhongdong & Schmidt, Adam & Wang, Jin’ai, 2021. "Retail investor risk-seeking, attention, and the January effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).

    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:gam:jijfss:v:7:y:2019:i:2:p:30-:d:239245. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.