期刊文献+

基于NBC的定单流与分析师选股收益率比较

Comparative of Order Flow and Analyst Stock Selection Return based on NBC
原文传递
导出
摘要 资金流向是证券分析师和广大投资者关注的重点之一。本文引入定单流指标,刻画资金的流向,提出了基于定单流的股票选择方法,并进行实证分析。采用事件研究法分析了证券分析师推荐股票的总体特征,运用朴素贝叶斯分类(NBC)方法筛选出符合分析师荐股特征的股票,对筛选出的股票收益率进行显著性检验。实证结果表明,与证券分析师推荐的股票和深证成指相比,基于定单流的股票选择方法筛选的股票能获得更高的收益率,而且能通过显著性检验。 The flow of funds is one of the key concerns of securities analysts and large investors.This paper introduces the order flow indicator to describe the flow of funds and proposes a stock selection method based on order flow,and conducts an empirical analysis.This paper uses event study to analyze the general characteristics of the stocks that securities analysts recommend,and use Naive Bayesian Classifier(NBC) method to screen out the stocks in line with analysts recommendation.This paper conducts a significance test on return of the selected stocks.The empirical results show that,compared with analysts' recommendation of the stocks securities and Shenzhen Component Index,the selected stocks based on order flow can gain higher return,and passes the significance test.
出处 《系统工程》 CSSCI CSCD 北大核心 2011年第11期7-14,共8页 Systems Engineering
基金 四川省软科学研究计划项目(2008ZR0016)
关键词 资金流向 定单流 朴素贝叶斯分类 股票选择 The Flow of Funds Order flow Naive Bayesian Classifier Stock Selection
  • 相关文献

参考文献25

  • 1Evans, Lyons. Order flow and exchange rate dynamics [J]. Journal of Political Economy, 2002, 110(1):170-180.
  • 2Underwood. The cross-market information content of stock and bond order flow [J]. Journal of Financial Markets, 2009,12(2) :268- 289.
  • 3谭地军 田益祥.债券流动性与定单流的信息含量.中国金融评论,2009,:1-17.
  • 4Wang, Goh, Quek. Fuzzy neural systems for stock selection [J]. Financial Analysts Journal, 1992, 48(1) :47-52.
  • 5Quah,Srinivasan. Improving returns on stock invest- ment through neural network .selection [J]. Expert Systems with Applications, 1999,17 (4) : 295 - 301.
  • 6Lueas, Dijk, Kloek. Stock selection, style rotation, and risk [J]. Journal of Empirical Finance, 2002, 9(1):1-34.
  • 7Eakins, Stansell. Can value-based stock selection criteria yield superior risk-adjusted returns: An application of neural networks [J].International Review of Financial Analysis, 2003,12 (1) : 83 - 97.
  • 8Quah. DJIA stock selection assisted by neural network [J]. Expert Systems with Applications, 2007,35(1) :50-58.
  • 9Sevastjanov, Dymova. Stock .screening multiple criteria decision making and [J]. Moega,2009,37(3): 659-671.
  • 10with use of optimization Da, Gao, Jagannathan. Impatient trading, liquidity provision, and stock selection by mutual funds [J]. Review of Financial Studies, 2011,24 (3): 675-720.

二级参考文献110

共引文献182

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部