中文摘要：

在多层次资本市场的大发展趋势下,建立有效的衍生品-现货互补对冲机制是完善金融市场的基本要求。期货-现货体系为投资者提供套期保值风险对冲功能对期货与现货合约的紧密联系程度提出非常高的要求,这不仅应体现在价格上,更应微观的体现在交易过程的订单流动性中。若在任何情形下,订单流动性的趋同能够立刻反应在两类金融证券中,那么异常的基差风险就很难发生,股指期货与现货之间将存在健康的＂遛狗效应＂。本文以期货现货合约的高频交易数据为基础,构建期货和现货合约的订单流动性,并通过期现货订单流动性传染互动模型的合理性检验期现货合约之间是否在微观订单流动性层面在平常交易日存在紧密的＂遛狗效应＂。在高频数据模型构建中,使用成交量刻度的衡量方法,并说明了其较时间刻度的优势。在实证研究中,本文使用股指期货和沪深300指数现货的高频交易数据,证明了我国股指期货和现货之间在平常交易日中存在紧密的＂遛狗效应＂。

英文摘要：

Under the requirement of constructing multi-level capital market, it is the effective derivativesspots hedging mechanism that contributes to the well-developed financial market in our country. The function of providing risk-hedging for investors under futures-spots system requests more than price and volatility synchronously between them, but at the microscopic level, that is, on the level of order liquidity. The investors such as arbitragers and hedgers under high-frequency circumstances build trading records of stock index future market and spot market together. And whether there is a an arbitrage opportunity, the order liquidity of these two types of assets will change earlier than prices. If in any circumstance, the convergence of order liquidity will be reflected in securities of these two categories, the abnormal basis risk can hardly occur. This makes a contribution to the establishment of healthy ＂walk-the-dog＂ effect between stock index and stock index futures. Based on high-frequency trading data of futures and spots, order liquidity has been constructed and an effective method has been provided to test whether there is ＂walking- the-dog＂ effect to keep close relation between futures and spots under order liquidity level in usual days. Theorem 1 provides the theoretical foundation of test method in this paper. Volume-clock method is used in high-frequency trading data and dominants to chronic-clock is depicted in this paper. In empirical study, using high-frequency trading data of SS300 index futures and spot index, it＇s proved that there is closing ＂walking-dog＂ relation between index futures and spot index in our market under order liquidity level. It is not easy to achieve a small quantity of profits from high-frequency futures-spot arbitrage by digging highfrequency trading orders. Secondly, the adjustments on changes of stocks＇ prices imposed by traders＇ information can be reflected by return measured by trading volume, which is closer to normal distribution than return measured b