科研管理
科研管理
과연관리
Science Research Management
2013年
6期
138~145
,共null页
统计套利策略 高频数据 协整模型 统计数据频率
統計套利策略 高頻數據 協整模型 統計數據頻率
통계투리책략 고빈수거 협정모형 통계수거빈솔
statistical arbitrage strategy; high frequency data; cointegration model; statistical data frequency
融资融券和股指期货的推出为我国证券市场的统计套利策略的实施提供了良好的平台。统计套利策略是将统计方法运用于证券市场的重要工具,基于高频数据的统计套利策略可以满足机构投资者套利需求,同时引进一种全新更加有效的投资方式。论文将常用统计套利策略进行改进,设计出新的统计套利策略并进行实证检验。运用各频率数据进行套利的交易次数都显著减少,平均单次收益率则成倍增加,达到了获取最大单次收益及降低交易频率的目的。在新统计套利策略下,运用6个频率数据进行套利均能取得很好的绩效,并且样本内的盈利性对于样本外的盈利性预测性明显增强。说明在高频数据下,统计套利策略运用于我国股票市场上是有效性的,并且新统计套利策略显著优于常用策略。
融資融券和股指期貨的推齣為我國證券市場的統計套利策略的實施提供瞭良好的平檯。統計套利策略是將統計方法運用于證券市場的重要工具,基于高頻數據的統計套利策略可以滿足機構投資者套利需求,同時引進一種全新更加有效的投資方式。論文將常用統計套利策略進行改進,設計齣新的統計套利策略併進行實證檢驗。運用各頻率數據進行套利的交易次數都顯著減少,平均單次收益率則成倍增加,達到瞭穫取最大單次收益及降低交易頻率的目的。在新統計套利策略下,運用6箇頻率數據進行套利均能取得很好的績效,併且樣本內的盈利性對于樣本外的盈利性預測性明顯增彊。說明在高頻數據下,統計套利策略運用于我國股票市場上是有效性的,併且新統計套利策略顯著優于常用策略。
융자융권화고지기화적추출위아국증권시장적통계투리책략적실시제공료량호적평태。통계투리책략시장통계방법운용우증권시장적중요공구,기우고빈수거적통계투리책략가이만족궤구투자자투리수구,동시인진일충전신경가유효적투자방식。논문장상용통계투리책략진행개진,설계출신적통계투리책략병진행실증검험。운용각빈솔수거진행투리적교역차수도현저감소,평균단차수익솔칙성배증가,체도료획취최대단차수익급강저교역빈솔적목적。재신통계투리책략하,운용6개빈솔수거진행투리균능취득흔호적적효,병차양본내적영리성대우양본외적영리성예측성명현증강。설명재고빈수거하,통계투리책략운용우아국고표시장상시유효성적,병차신통계투리책략현저우우상용책략。
The introduction of margin trading and stock index futures provides a good platform for the implementation of statistical arbitrage strategy of Chinese security market. Statistical arbitrage strategy is an important tool for applying the statistical methods to the stock market, high frequency data based statistical arbitrage strategies are able to meet institutional investors arbitrage de- mand, in the meantime a new and more effective investment is introduced. The statistical arbitrage strategies commonly used are improved and the new statistical arbitrage strategy is designed and tested empirically. The number of arbitrage transactions using the data of each frequency is significantly reduced, the average yield for each transaction is doubled; the purpose for accessing the largest single revenue and reducing transaction frequency is achieved. With new statistical arbitrage strategy, the use of the six frequency data arbitrage is able to achieve very good performance, and the profit forecast of outside samples based on the prof-itability within the sample is significantly enhanced. With the high frequency data, statistical arbitrage strategy applied to Chinese stock market is effect, and new statistical arbitrage strategy is significantly superior to the common strategy.