信息交易概率对于解释证券市场中的许多现象有着重要的意义。文中借鉴Handa,Schwartz和Tiwari(2003)提出的信息交易概率估计方法,对我国证券市场中信息传播的日内特征和释放过程进行了研究。研究结果发现,我国股市中信息交易概率在日内大致呈倒“J形”,每个交易日开盘后市场中累积了大量私有信息,然后迅速通过交易得到释放,信息交易概率很快下降到一个比较稳定的水平,在收盘前市场中的信息又略有累积。这一现象与Foster和Viswanathan(1994)理论模型的推断相一致。文中的研究表明,在日内的不同时刻,市场中的信息分布处于不同的状态;同时,私有信息的释放过程不是均匀的,而是存在很大的跳跃性和非平稳性。因此,对于市场交易机制设计者来说,在设计交易机制时应该充分考虑到这一点。
We use the model of Handa, Schwartz and Tiwari (2003), which is built on order-driven market and propose an estimation method on probability of informed trading (PIT), and do an empirical research on the intra-day characteristics of information and its release process. The empirical results show that the PIT shows a reverse " J " shape. There exists a lot of private information after market opening, and information releases quickly through trading and then keeps constant before the market is closed. This phenomenon is consistent with the theoretical forecast of Foster and Viswanathan (1994). Our research indicates that information distribution and release vary in different time of a day Hence it is meaningful for related trading mechanism design.