整合期权交易中的信息

R. Holowczak, Jianfeng Hu, Liuren Wu
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引用次数: 1

摘要

每只股票都有数百种不同执行价格和期限的期权交易。这些期权交易的订单流揭示了有关标的股票价格的重要信息。如何整合同一股票的不同期权合约的交易信息,是衍生品市场微观结构理论和价格发现机制发展中一个有趣而重要的问题。本文以纳斯达克100指数跟踪股QQQQ期权为例,考察了不同的订单流整合机制在提取标的股票价格和波动率信息方面的有效性。通过分析,我们提出了一个集合加权方案,该方案既依赖于每个期权合约的流动性,也依赖于合约的风险敞口,delta代表股票价格运动信息,vega代表波动率运动信息。基于此加权方案,我们发现总期权订单流量与实现收益和波动率之间存在显著的正相关关系。其中,delta买入压力正预测标的收益,vega买入压力正预测波动性变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consolidating Information in Option Transactions
Underlying each stock trades hundreds of options at different strike prices and maturities. The order flows from these option transactions reveal important information about the underlying stock price. How to aggregate the trade information of different option contracts underlying the same stock presents an interesting and important question for developing microstructure theories and price discovery mechanisms in the derivatives markets. This paper takes options on QQQQ, the Nasdaq 100 tracking stock, as an example and examines different order flow consolidation mechanisms in terms of their effectiveness in extracting information about the underlying stock price and volatility movements. The analysis leads us to propose an aggregation weighting scheme that depends both on the liquidity of each option contract and the contract's risk exposure, delta for stock price movement information and vega for volatility movement information. Based on this weighting scheme, we identify significantly positive correlations between the aggregate option order flows and the realized returns and volatilities. In particular, the delta buy pressure positively predicts the underlying return and the vega buy pressure positively predicts the change of volatilities.
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