股票市场冲击与原油波动率指数预测——基于时变状态转移概率模型的研究
Stock Market Shock and Crude Oil Volatility Index Forecast:Based on Time Changes Research on Probability Model of State Transition
苏乐怡 1乔高秀 1马学琨 1蒋龚月2
作者信息
- 1. 西南交通大学数学学院,四川 成都 611756
- 2. 上海财经大学金融学院,上海 200433
- 折叠
摘要
采用具有时变状态转移概率的波动率模型研究原油市场波动率指数(OVX)预测,并充分考虑代表股票市场冲击的已实现波动和杠杆效应所含信息.实证结果表明,具有状态转移概率的模型对OVX的预测效果优于传统的HAR类模型.特别地,加入杠杆效应的常数状态转移概率模型对中短期的预测能力更强,而在转移概率和回归模型同时考虑杠杆效应的时变状态转移概率模型更适合长期预测.研究为我国原油衍生品市场的风险管理提供了有意义的参考.
Abstract
This article uses the volatility model with time-varying state transition proba-bility to study the crude oil market volatility index(OVX)forecast,and fully considers the information contained in the realized volatility and leverage effect which represents the shock of stock market.The empirical results show that the model with state transition probabil-ity is better than the traditional HAR model in predicting OVX.In particular,the constant state transition probability model with the leverage effect has stronger predictive power in the short and medium term,while the time-varying state transition probability model that considers the leverage effect in the transition probability and regression model is more suitable for long-term prediction.The research in this article provides a meaningful reference for the risk management of our country's crude oil derivatives market.
关键词
原油波动率指数/股票市场冲击/时变状态转移概率模型/HAR模型/杠杆效应Key words
crude oil volatility index/stock market shock/time-varying transition probability model/HAR model/leverage effect引用本文复制引用
基金项目
国家自然科学基金(71701171)
国家自然科学基金(72001180)
教育部人文社会科学研究项目(17YJC790119)
中央高校基本科研业务费专项学科交叉研究专项(2682021ZTPY077)
出版年
2024
NETL
NSTL
万方数据