Is Stock BBS Content Correlated with the Stock Market?-A Japanese Case

被引：3
作者：
Maruyama, Ken [1 ]
Umehara, Eiichi [2 ]
Suwa, Hirohiko [3 ]
Ohta, Toshizumi [3 ]
机构：
[1] Next Solut Inc, Tokyo, Japan
[2] Nomura Res Inst, Tokyo, Japan
[3] Univ Electrocommun, Grad Sch Informat Syst, Tokyo, Japan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
stock market; stock BBS; support vector machine; natural language processing; machine learning; NOISE; TALK;
D O I：
10.1109/ICSMC.2009.5346768
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We analyze the relations between the stock market and a stock bulletin board system (BBS) in Japan. Previous studies in the USA found that the characteristics of messages posted on stock BBSs can predict market volatility and trading volume. We develop hypotheses based on the results of those analyses and apply statistical analysis to the data about companies mentioned in a large number of messages posted on the Yahoo! stock message board in Japan in 2005-2006. We analyze the contents of these messages using natural language processing. We find a significant correlation between the number of postings and market volatility and trading volume, and also find significant correlation between the amount of bullish and bearish opinion and the stock return.
引用
收藏
页码：4601 / +
页数：2
相关论文
共 50 条
  • [31] Stock Price Limit and Its Predictability in the Chinese Stock Market
    Liang, Haohui
    Hu, Yujia
    JOURNAL OF FORECASTING, 2025, 44 (02) : 297 - 319
  • [32] Stock return anomalies and individual investors in the Korean stock market
    Jang, Jeewon
    PACIFIC-BASIN FINANCE JOURNAL, 2017, 46 : 141 - 157
  • [33] A Hybrid System for Forecasting Stock Price Variations in the Stock Market
    Rajasinghe, R. M. C. D. K.
    Weerapperuma, W. D. N. M.
    Wijesinghe, W. U. N. N.
    Rathnayake, K. K. K. P.
    Seneviratne, L.
    8TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA 2014), 2014,
  • [34] Volatility Transmission Between the Japanese Stock Market and the Western Stock Market Indices: Time & Frequency Domain Connectedness Analysis with High-Frequency Data
    Kahraman, Serpil
    Keser, Merve
    APPLIED ECONOMICS, 2022, 54 (06) : 670 - 684
  • [35] A study on small investors' behavior in choosing stock case study: Kuala-Lumpur stock market
    Baghdadabad, Mohammad Reza Tavakoli
    Tanha, Farid Habibi
    Halid, Noreha
    AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2011, 5 (27): : 11082 - 11092
  • [36] Stock or stroke? Stock market movement and stroke incidence in Taiwan
    Chen, Chun-Chih
    Chen, Chin-Shyan
    Liu, Tsai-Ching
    Lin, Ying-Tzu
    SOCIAL SCIENCE & MEDICINE, 2012, 75 (11) : 1974 - 1980
  • [37] The stock market is rigged? Conspiracy beliefs and distrust predict lower stock market participation
    Fiagbenu, Michael Edem
    APPLIED COGNITIVE PSYCHOLOGY, 2022, 36 (05) : 978 - 995
  • [38] Stock market reactions to dividend announcements: Empirical evidence from the Austrian stock market
    Henryk Gurgul
    Roland Mestel
    Christoph Schleicher
    Financial Markets and Portfolio Management, 2003, 17 (3): : 332 - 350
  • [39] COVID-19 impact on stock market: Evidence from the Indian stock market
    Sahoo, Manamani
    JOURNAL OF PUBLIC AFFAIRS, 2021, 21 (04)
  • [40] Stock Market Trading Based on Market Sentiments and Reinforcement Learning
    Suhail, K. M. Ameen
    Sankar, Syam
    Kumar, Ashok S.
    Nestor, Tsafack
    Soliman, Naglaa F.
    Algarni, Abeer D.
    El-Shafai, Walid
    Abd El-Samie, Fathi E.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (01): : 935 - 950
12345