The relationship between investor sentiment and stock yield: an analysis based on data mining

Konferenz: CAIBDA 2022 - 2nd International Conference on Artificial Intelligence, Big Data and Algorithms
17.06.2022 - 19.06.2022 in Nanjing, China

Tagungsband: CAIBDA 2022

Seiten: 4Sprache: EnglischTyp: PDF

Autoren:
Pei, Huiru; Zou, Zhiyuan (International Business School, Shaanxi Normal University, Xi'an, Shaanxi, China)

Inhalt:
This paper chooses 43 listed companies’s of the mobile payment sector, collects stock yield from January 2012 to April 2021, and uses text mining technology to collect East Money forum corresponding stock investors information to build investor sentiment index. Then the paper uses panel vector autoregressive model to explore two-way relationship between investor sentiment and stock yield in mobile payment sector. The results show:(1) there is a long-term equilibrium relationship between investor sentiment and stock yield in the mobile payment sector; (2) stock yield has a gradually weakening negative effect on investor activity; (3) investor bullish sentiment has a continuous positive effect on stock yield and investor activity.