Financial Communities
研究发现，互联网股票讨论板上的帖子可揭示股票间的社会联系，基于网络图论将股票分为社区股和孤立股，社区股风险调整后表现更优，且中心性高的股票与其他股票共变性更强，为投资组合管理提供了新的分散化视角。
Postings on Internet discussion boards provide an unusual opportunity to explore the sociological mechanics underlying the impounding of information into stock prices and to examine any implications for portfolio construction. Graph-theoretic techniques applied to contacts across the web network of stock discussion allow classification of stocks into two types: communities of connected stocks, and disconnected stocks. Connected stocks outperform others in a risk-adjusted sense. Adopting the concept of centrality from the sociology literature reveals that stocks with high centrality covary more with other stocks, suggesting greater analyst scrutiny. Classifying stocks into financial communities provides a novel way to look at risk-return trade-offs and to direct analyst attention, and offers new diversification insights for portfolio managers.