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Dynamic intraday relations between order imbalance, volatility and return of jump losers

机译:订单失衡,波动率和跳投失败者收益之间的动态盘中关系

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This study adopted intraday return instead of daily return used by previous researches to examine the effect of order imbalance not only on the individual stock return but also volatility among jump losers. The study also built up order imbalance-based trading strategies to earn abnormal return. A contemporaneous order imbalance-return relation was examined by GARCH (1,1) model and time-series regression model. The data presented significantly positive relation in both models as previous studies on daily return. The study focused on the lagged effect of imbalance on return and found that such relation was negatively significant, while contemporaneous imbalance had positive significant impact on return. The study examined the volatility-order imbalance relationship by a time-varying GARCH (1,1) model. The positive relation of volatility and order imbalance was consistent with the ex-ante expectation that larger imbalance made return more volatile. The study developed two order imbalance-based trading strategies based on different definitions of price: trading price and bid-ask. Due to the characteristics of our jump losers, we used short selling strategy. The results showed the huge profitability of order imbalance strategies when we traded on extreme volume.
机译:这项研究采用日内收益率,而不是先前研究所使用的每日收益率,不仅检查了订单不平衡对单个股票收益率的影响,还考察了跳亏者之间的波动性。该研究还建立了基于订单不平衡的交易策略,以获取不正常的回报。通过GARCH(1,1)模型和时间序列回归模型检验了同期订单不平衡-收益关系。与以前的每日收益研究相比,数据在两个模型中均显示出显着正相关。该研究着重于失衡对收益的滞后影响,发现这种关系具有负显着性,而同期失衡对收益具有正显着影响。该研究通过时变GARCH(1,1)模型研究了波动率与订单不平衡的关系。波动率与订单失衡之间的正相关关系与事前预期一致,即更大的失衡使收益率更加不稳定。该研究根据价格的不同定义开发了两种基于订单不平衡的交易策略:交易价格和买价。由于跳高者的特点,我们使用了卖空策略。结果表明,当我们以极高的交易量进行交易时,订单不平衡策略具有巨大的获利能力。

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