Can google search volume index predict the returns and trading volumes of stocks in a retail investor dominant market

被引:4
|
作者
Lai, Huei-Hwa [2 ]
Chang, Tzu-Pu [1 ]
Hu, Cheng-Han [1 ]
Chou, Po-Ching [1 ]
机构
[1] Natl Yunlin Univ Sci & Technol, Dept Finance, 123 Univ Rd,Sect 3, Touliu 64002, Yunlin, Taiwan
[2] Chaoyang Univ Technol, Dept Business Adm, 168 Jifeng E Rd, Taichung 413310, Taiwan
来源
COGENT ECONOMICS & FINANCE | 2022年 / 10卷 / 01期
关键词
Google search volume index; TPEx; 50; index; Excess returns; Abnormal trading volumes; Investor attention; G00; G12; G40; ATTENTION; BEHAVIOR; INFORMATION;
D O I
10.1080/23322039.2021.2014640
中图分类号
F [经济];
学科分类号
02 ;
摘要
This research examines whether Google search volume index (GSVI), a proxy of investor attention, can predict the excess returns and abnormal trading volumes of TPEx 50 index constituents. It also explores the motive underlying GSVI based on positive or negative shocks to stock prices. The empirical data include 48 companies from TPEx 50 index constituents and cover a period from 1 September 2016 to 31 August 2019. The empirical results present that (1) lagged GSVI negatively affects current excess returns, perhaps due to the characteristics of TPEx, in which there are a higher proportion of retail investors, smaller listed companies, and a higher information asymmetry problem. (2) Lagged GSVI can positively affect abnormal current trading volumes. (3) If GSVI is driven by positive shocks, then it can predict excess returns and abnormal trading volumes positively.
引用
收藏
页数:18
相关论文
共 20 条
  • [1] Google search intensity and its relationship with returns and trading volume of Japanese stocks
    Takeda, Fumiko
    Wakao, Takumi
    [J]. PACIFIC-BASIN FINANCE JOURNAL, 2014, 27 : 1 - 18
  • [2] Google search volume and individual investor trading
    Kostopoulos, Dimitrios
    Meyer, Steffen
    Uhr, Charline
    [J]. JOURNAL OF FINANCIAL MARKETS, 2020, 49
  • [3] Investor attention using the Google search volume index - impact on stock returns
    Swamy, Vighneswara
    Dharani, Munusamy
    [J]. REVIEW OF BEHAVIORAL FINANCE, 2019, 11 (01) : 55 - 69
  • [4] Google search volume index and investor attention in stock market: a systematic review
    Ayala, Maria Jose
    Gonzalvez-Gallego, Nicolas
    Arteaga-Sanchez, Rocio
    [J]. FINANCIAL INNOVATION, 2024, 10 (01)
  • [5] Does Internet Search Volume Predict Market Returns and Investors' Trading Behavior?
    Koo, Bonha
    Chae, Joon
    Kim, Hyungjoo
    [J]. JOURNAL OF BEHAVIORAL FINANCE, 2019, 20 (03) : 316 - 338
  • [6] Google search volume and its influence on liquidity and returns of German stocks
    Bank M.
    Larch M.
    Peter G.
    [J]. Financial Markets and Portfolio Management, 2011, 25 (3): : 239 - 264
  • [7] The Impact of Google Search Volume Index (SVI) on Stock Returns of Taiwan AI Supply Chain Stocks
    Lin, Ying-Li
    Chao, Tzu-Ting
    Hsieh, Chia-Fang
    [J]. INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS 2024, 2024, 214 : 450 - 459
  • [8] Google search intensity and its relationship with returns and trading volume of Japanese stocks (vol 27, pg 1, 2014)
    Takeda, Fumiko
    Wakao, Takumi
    [J]. PACIFIC-BASIN FINANCE JOURNAL, 2022, 73
  • [9] Investor attention and Google Search Volume Index: Evidence from an emerging market using quantile regression analysis
    Swamy, Vighneswara
    Dharani, M.
    Takeda, Fumiko
    [J]. RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2019, 50 : 1 - 17
  • [10] Forecasting Excess Returns and Abnormal Trading Volume using Investor Sentiment: Evidence from Chinese Stock Index Futures Market
    Gao, Bin
    Xie, Jun
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2020, 56 (03) : 593 - 612