O efeito da atenção de investidores individuais no volume de negociações e no retorno de ativos
Abstract
O estudo investigou o efeito da atenção do investidor individual sobre o volume de negociações e o retorno das ações. Para atingir esse objetivo, foi utilizado o Índice de Volume de Pesquisa como proxy para avaliar a atenção do investidor e construir um nível de atenção robusto. Foram realizadas mais de 49 mil observações e aplicadas regressões quantílicas, utilizando-se o logaritmo do volume anormal de negociação e o retorno aritmético das ações como variáveis de interesse. Os resultados demonstram que a relação entre a atenção do investidor e o volume de negociações é significativamente positiva em todos os modelos testados. Assim, constata-se que o aumento da atenção dos investidores resulta em um acréscimo proporcional no volume de negociações. Verificou-se também que o efeito da atenção é mais pronunciado em empresas com maiores volumes anormais de negociação. A relação entre a atenção do investidor e o retorno das ações apresentou significância tanto positiva quanto negativa, com diferenças observadas entre o volume de pesquisas apenas com os nomes das empresas e aquelas que incluíam também os respectivos tickets. Análises adicionais foram conduzidas com a inclusão de uma variável de crise nos modelos. As conclusões do estudo possuem implicações relevantes para empresas que buscam promover o reconhecimento por parte dos investidores, para os participantes do mercado financeiro e para formuladores de políticas públicas. Além disso, o estudo oferece uma visão mais abrangente sobre o impacto da atenção dos investidores, em comparação com trabalhos anteriores que utilizaram o Método dos Mínimos Quadrados.
Riferimenti bibliografici
ADACHI, Yuta; MASUDA, Motoki; TAKEDA, Fumiko. Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks. Pacific-Basin Finance Journal, v. 46, p. 243-257, 2017.
AKARSU, Sergen; SÜER, Ömür. How investor attention affects stock returns? Some international evidence. Borsa Istanbul Review, v. 22, n. 3, p. 616-626, 2022.
AOUADI, Amal; AROURI, Mohamed; TEULON, Frédéric. Investor attention and stock market activity: Evidence from France. Economic Modelling, v. 35, p. 674-681, 2013.
ARAÚJO, Juliana Gonçalves; CONFESSOR, Kliver; SANTOS, Joséte; OLIVEIRA, Marcos; PRAZERES, Rodrigo. A estrutura de capital e a governança: análise dos conselhos administração e estrutura de propriedade nas empresas listadas no IBRX-100. Revista de Gestão, Finanças e Contabilidade, v. 7, n. 2, p. 121-140, 2017.
BARBER, Brad M.; ODEAN, Terrance. All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. The review of financial studies, v. 21, n. 2, p. 785-818, 2008.
BARBER, Brad M.; ODEAN, Terrance; ZHU, Ning. Systematic noise. Journal of Financial Markets, v. 12, n. 4, p. 547-569, 2009.
BARBER, Brad M.; HUANG, Xing; ODEAN, Terrance; SCHWARZ, Christopher. Attention‐induced trading and returns: Evidence from Robinhood users. The Journal of Finance, v. 77, n. 6, p. 3141-3190, 2022.
BIJL, Laurens; KRINGHAUG, Glenn; MOLNÁR, Peter; SANDVIK, Eirik. Google searches and stock returns. International Review of Financial Analysis, v. 45, p. 150-156, 2016.
BOULTON, Thomas; FRANCIS, Bill; SHOHFI, Thomas; DAQI, Xin. Investor awareness or information asymmetry? Wikipedia and IPO underpricing. Financial Review, v. 56, n. 3, p. 535-561, 2021.
BROOKS, Chris. Introductory econometrics for finance. Cambridge university press, 2019.
CAI, Haidong; JIANG, Ying; LIU, Xiaoquan. Investor attention, aggregate limit-hits, and stock returns. International Review of Financial Analysis, v. 83, p. 102265, 2022.
CHEN, Tao. Investor attention and global stock returns. Journal of Behavioral Finance, v. 18, n. 3, p. 358-372, 2017.
CHEN, Hong-Yi; LO, Te-Chien. Online search activities and investor attention on financial markets. Asia Pacific Management Review, v. 24, n. 1, p. 21-26, 2019.
DA, Zhi; ENGELBERG, Joseph; GAO, Pengjie. In search of attention. The journal of finance, v. 66, n. 5, p. 1461-1499, 2011.
DING, Rong; HOU, Wenxuan. Retail investor attention and stock liquidity. Journal of international financial markets, institutions and money, v. 37, p. 12-26, 2015.
FENG, Xunan; HU, Na. Are individual investors affected by attention? Evidence from the earning announcement effect in China. China Finance Review International, v. 4, n. 3, p. 289-304, 2014.
FGV-IBRE. Comitê de Datação de Ciclos Econômicos (CODACE). FGV-IBRE. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://portalibre.fgv.br/sites/default/files/2020-06/comunicado-do-comite-de-datacao-de-ciclos-economicos-29_06_2020-1.pdf Acesso em: 22 dez. 2023.
GALVAO JR, Antonio F. Quantile regression for dynamic panel data with fixed effects. Journal of Econometrics, v. 164, n. 1, p. 142-157, 2011.
GUO, Tao; FINKE, Michael; MULHOLLAND, Barry. Investor attention and advisor social media interaction. Applied Economics Letters, v. 22, n. 4, p. 261-265, 2015.
HAN, Liyan; LI, Ziying; YIN, Libo. Investor attention and stock returns: international evidence. Emerging Markets Finance and Trade, v. 54, n. 14, p. 3168-3188, 2018.
HAN, Liyan; WU, You; YIN, Libo. Investor attention and currency performance: international evidence. Applied Economics, v. 50, n. 23, p. 2525-2551, 2018.
HINZ, Oliver; VAN DER AALST, Wil Mp; WEINHARDT, Christof. Research in the attention economy. Business & Information Systems Engineering, v. 62, p. 83-85, 2020.
HIRSHLEIFER, David; LIM, Sonya S.; TEOH, Siew Hong. Limited investor attention and stock market misreactions to accounting information. The Review of Asset Pricing Studies, v. 1, n. 1, p. 35-73, 2011.
HUANG, Melody Y.; ROJAS, Randall R.; CONVERY, Patrick D. Forecasting stock market movements using Google Trend searches. Empirical Economics, v. 59, p. 2821-2839, 2020.
IBIKUNLE, Gbenga; MCGROARTY, Frank; RZAYEV, Khaladdin. More heat than light: Investor attention and bitcoin price discovery. International Review of Financial Analysis, v. 69, p. 101459, 2020.
KOENKER, Roger. Quantile regression for longitudinal data. Journal of multivariate analysis, v. 91, n. 1, p. 74-89, 2004.
LEE, Chien-Chiang; CHEN, Mei-Ping; LEE, Chi-Chuan. Investor attention, ETF returns, and country-specific factors. Research in International Business and Finance, v. 56, p. 101386, 2021.
LERMAN, Alina. Individual investors' attention to accounting information: evidence from online financial communities. Contemporary Accounting Research, v. 37, n. 4, p. 2020-2057, 2020.
LIM, Sonya S.; FTEOH, Siew Hong. Limited attention. Behavioral finance: Investors, corporations, and markets, p. 295-312, 2010.
MERTON, Robert C. A simple model of capital market equilibrium with incomplete information. Journal of Finance, v. 42, p. 483–510, 1987.
PADUNGSAKSAWASDI, Chaiyuth; TREEPONGKARUNA, Sirimon; BROOKS, Robert. Investor attention and stock market activities: new evidence from panel data. International Journal of Financial Studies, v. 7, n. 2, p. 30, 2019.
PERLIN, Marcelo S; CALDEIRA, João F.; SANTOS, André A. P.; PONTUSCHKA, Martin. et al. Can we predict the financial markets based on Google's search queries?. Journal of Forecasting, v. 36, n. 4, p. 454-467, 2017.
PIÑEIRO-CHOUSA, Juan; LÓPEZ-CABARCOS, M. Ángeles; RIBEIRO-SORIANO, Domingo. Does investor attention influence water companies’ stock returns? Technological Forecasting and Social Change, v. 158, p. 120115, 2020.
PYO, Dong-Jin. Can Big Data Help Predict Financial Market Dynamics?: Evidence from the Korean Stock Market. Evidence from the Korean Stock Market (June 30, 2017). East Asian Economic Review, v. 21, n. 2, p. 147-165, 2017.
ROMANIUK, Jenni; NGUYEN, Cathy. Is consumer psychology research ready for today’s attention economy? Journal of Marketing Management, v. 33, n. 11-12, p. 909-916, 2017.
RYAN, Camille D.; SCHAUL, Andrew; BUTNER, Ryan; SWARTHOUT, John T. Monetizing disinformation in the attention economy: the case of genetically modified organisms (GMOs). European Management Journal, v. 38, n. 1, p. 7-18, 2020.
SHKARLET, Serhiy; DUBYNA, Maksym; ZHUK, Olena. Determinants of the financial services market functioning in the era of the informational economy development. Baltic Journal of Economic Studies, v. 4, n. 3, p. 349-357, 2018.
SMALES, Lee A. Investor attention and global market returns during the COVID-19 crisis. International Review of Financial Analysis, v. 73, p. 101616, 2021.
TAKEDA, Fumiko; WAKAO, Takumi. Google search intensity and its relationship with returns and trading volume of Japanese stocks. Pacific-Basin Finance Journal, v. 27, p. 1-18, 2014.
VLASTAKIS, Nikolaos; MARKELLOS, Raphael N. Information demand and stock market volatility. Journal of Banking & Finance, v. 36, n. 6, p. 1808-1821, 2012.
YANG, Dan; MA, Tingyu; WANG, Yuetang; WANG, Guojun . Does investor attention affect stock trading and returns? Evidence from publicly listed firms in China. Journal of Behavioral Finance, v. 22, n. 4, p. 368-381, 2021.
YING, Qianwei; KONG, Dongmin; LUO, Danglun. Investor attention, institutional ownership, and stock return: Empirical evidence from China. Emerging Markets Finance and Trade, v. 51, n. 3, p. 672-685, 2015.
YUAN, Yu. Market-wide attention, trading, and stock returns. Journal of Financial Economics, v. 116, n. 3, p. 548-564, 2015.
YUNG, Kenneth; NAFAR, Nadia. Investor attention and the expected returns of reits. International Review of Economics & Finance, v. 48, p. 423-439, 2017.
ZAGONOV, Maxim; HANKE, Bernd. Investor Attention, Lottery Stocks and the Cross-Section of Expected Returns. Economics Bulletin, v. 40, n. 1, p. 18-34, 2020.
ZAHERA, Syed Aliya; BANSAL, Rohit. Do investors exhibit behavioral biases in investment decision making? A systematic review. Qualitative Research in Financial Markets, v. 10, n. 2, p. 210-251, 2018.
ZHANG, Bing; WANG, Yudong. Limited attention of individual investors and stock performance: Evidence from the ChiNext market. Economic Modelling, v. 50, p. 94-104, 2015.
ZULLI, Diana. Capitalizing on the look: insights into the glance, attention economy, and Instagram. Critical Studies in Media Communication, v. 35, n. 2, p. 137 – 150. 2017. DOI: https://doi.org/10.1080/15295036.2017.1394582
Downloads
Pubblicato
Come citare
Fascicolo
Sezione
Licenza
Os direitos patrimoniais dos artigos aceitos para publicação, inclusive de tradução, passam a ser de propriedade da Revista de Contabilidade do Mestrado em Ciências Contábeis da UERJ (online).
É permitida a citação parcial de artigos publicados, sem autorização prévia, desde que seja identificada a fonte. A reprodução total de artigos é proibida. Em caso de dúvidas, favor entrar em contato: (revistacontabilidadeuerj@gmail.com).
As declarações dos artigos aprovados, devem ser originalmente assinadas e enviadas pelos Correios para o endereço de contato da revista.