Fund investment represents an indirect securities investment method. Fund management companies issue fund shares to pool investor capital, which is then custodied by qualified banks (fund custodians) and managed by fund managers for investments in financial instruments such as stocks and bonds. Investors collectively share risks and returns. In simpler terms, securities investment funds aggregate capital from multiple investors, entrust it to banks for safekeeping, and utilize professional management for stock and bond investments to achieve capital preservation and appreciation.
As an online investment communication platform, Fund Bar provides rich fund-related dynamics and discussion content. Users can access real-time market information while interacting with other investors to share experiences and perspectives. Discussions encompass fund investment strategies, market analyses, performance evaluations, and more, offering valuable informational references. Its core functionalities include:
- Real-time market commentary: Users obtain the latest market updates and express opinions on market trends.
- Targeted fund discussions: Investors engage in in-depth exchanges about specific funds or stocks, sharing investment strategies.
- Professional advisory services: Some Fund Bars feature certified investment advisors to address investor queries.
- Community interaction: Investors interact within the platform to share insights, forming collaborative investment communities.
CnOpenData's Chinese Fund Product Stock Bar Text Data primarily focuses on textual content that captures investment sentiment. It comprehensively presents post content details, poster account IP addresses (发帖人账号IP地址), follow/followed relationships (关注与被关注), and other multidimensional information. With Post ID (帖子ID) and User ID (用户ID) as key relational fields across tables, this dataset enhances interdisciplinary connectivity and usability. Researchers can leverage this massive-scale investor interaction data to analyze market judgments and emotional dimensions of fund investors.
Temporal Coverage
1998-2023
Data Scale
Field Demonstration
Sample Data
Fund Bar Post Details Table
Fund Bar Reply Details Table
Fund Bar User Details Table
Fund Bar User Followers Table
参考文献
- 郑建东、吕晓亮、吕斌、郭峰,2022:《社交媒体平台信息交互与资本市场定价效率——基于股吧论坛亿级大数据的证据》,《数量经济技术经济研究》第11期。
- 尹必超、孔东民、季绵绵,2022:《散户积极主义提高上市公司审计质量吗》,《会计研究》第10期。
- 范小云、王业东、王道平、郭文璇、胡煊翊,2022:《不同来源金融文本信息含量的异质性分析——基于混合式文本情绪测度方法》,《管理世界》第10期。
- 朱孟楠、梁裕珩、吴增明,2020:《互联网信息交互网络与股价崩盘风险:舆论监督还是非理性传染》,《中国工业经济》第10期。
- 孙鲲鹏、王丹、肖星,2020:《互联网信息环境整治与社交媒体的公司治理作用》,《管理世界》第7期。
- 王丹、孙鲲鹏、高皓,2020:《社交媒体上“用嘴投票”对管理层自愿性业绩预告的影响》,《金融研究》第11期。
- 部慧、解峥、李佳鸿、吴俊杰,2018:《基于股评的投资者情绪对股票市场的影响》,《管理科学学报》第4期。
- Yuqin Huang, Feng Li, Tong Li, Tse-Chun Lin, 2024, “Local Information Advantage and StockReturns: Evidence from Social Media“. ContemporaryAccounting Research.
- Chang, Yen-Cheng and Hong, Harrison G. and Tiedens, Larissa and Wang, Na and Zhao, Bin, 2015, “Does Diversity Lead to Diverse Opinions? Evidence from Languages and Stock Markets ”, Rock Center for Corporate Governance at Stanford University Working Paper No. 168, Stanford University Graduate School of Business Research Paper No. 13-16.
- Sheridan Titman, Chishen Wei, Bin Zhao, 2021, “Corporate actions and the manipulation of retail investors in China: An analysis of stock splits”, Journal of Financial Economics.
Data Update Frequency
Annual updates