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Convergence to market efficiency of top gainers

机译:汇聚最大收益者的市场效率

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This study investigates the convergence process toward efficiency of daily top gainers. The convergence process toward efficiency is much clearer as a result of using a GARCH(1,1) model compared to the OLS model, and exhibits a monotonic decline as the time interval increases. The relationship between volatility and order imbalances is, however, not strong enough, suggesting that market makers do have the capability to reduce price volatility. This study develops an imbalance-based trading strategy, which earns a positive profit but fails to outperform the buy-and-hold strategy (i.e., open-to-close returns). A nested causality approach, which examines the dynamic return-order imbalance relationship during the price-formation process, confirms the results.
机译:这项研究调查了朝着每日最高收益者的效率过渡的过程。与OLS模型相比,使用GARCH(1,1)模型可以使向效率的收敛过程更加清晰,并且随着时间间隔的增加,单调下降。但是,波动率和订单失衡之间的关系还不够牢固,这表明做市商确实有能力降低价格波动率。这项研究开发了一种基于不平衡的交易策略,该策略可以赚取正利润,但不能胜过购买和持有策略(即平仓至平仓收益)。嵌套因果关系方法可检查价格形成过程中动态的退货订单不平衡关系,从而确认结果。

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