Banca de QUALIFICAÇÃO: Rayane Farias dos Santos

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : Rayane Farias dos Santos
DATE: 11/04/2023
TIME: 14:00
LOCAL: Plataforma Teams (Link: https://abrir.link/FdFgW - ID: 233 418 839 646 Senha: oQxPKn)
TITLE:

ATTENTION ECONOMY AND DECISION MAKING: presence of cognitive biases and events that call the attention of individual investors

KEY WORDS:

Attention Economy; Individual Investors; Behavioral biases; Asset Trading; Covid-19.

PAGES: 68
BIG AREA: Ciências Sociais Aplicadas
AREA: Administração
SUBÁREA: Ciências Contábeis
SUMMARY:

This research aims to verify the effect of limited attention on individual investors' decision-making. To achieve this purpose, three different studies were developed. The first article explores how cognitive biases triggered by limited attention influence the decision-making of individual investors on the Brazilian Stock Exchange (B3) and the impact on market efficiency. The methodology involves applying a structured questionnaire to Brazilian students who are studying a strictu sensu postgraduate course. Ordinal logistic regression, chi-square, and Wald tests are used for statistical analysis.. The second article aims to verify whether individual investors are more likely to buy or sell stocks that attract their attention and whether attention returns positively or negatively to this investor. The methodology samples the companies of the Brasil 100 Index (IBrX-100 B3). It seeks to measure the abnormal volume of trading based on the Google Search Volume Index, which is the proxy of investor attention captured through Google Trends. As an econometric model, regression with balanced panel data is used. The third article aims to verify the effect of individual investors' attention to the covid-19 pandemic. In order to reach the objective, when selecting the data, the period in which the pandemic broke out is analyzed. The sample comprises companies from the Brasil 100 Index (IBrX-100 B3) to measure the abnormal volume of trading based on the Google Search Volume Index, which is the investor attention proxy captured through Google Trends. In addition, investor sentiment is measured using the Hedonometer Happiness Index (IFH), measured using an interactive time series representing happiness through Twitter posts. For data analysis, two regressions with balanced panel data are used.

BANKING MEMBERS:
Externo à Instituição - ALDO LEONARDO CUNHA CALLADO - UFPB
Presidente - 6404897 - CESAR AUGUSTO TIBURCIO SILVA
Externo à Instituição - DIOGO HENRIQUE SILVA DE LIMA - UFRN
Interna - 388003 - FATIMA DE SOUZA FREIRE