Energy price and returns: a threshold heteroscedasticity model approach

被引:0
|
作者
Zhang, Tongwei [1 ]
Wang, Dehui [2 ]
Du, Mingze [2 ]
机构
[1] Liaoning Univ, Sch Econ, Shenyang, Liaoning, Peoples R China
[2] Liaoning Univ, Sch Math & Stat, Chongshan Middle Rd 66, Shenyang 110036, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Crude oil; daily returns; financial time series; double autoregressive model; threshold model; C32; Q40; CRUDE-OIL PRICE; TRADING VOLUME; STOCK RETURNS; GARCH MODEL; VOLATILITY; MARKET; INFERENCE; ESTIMATORS; SHOCKS;
D O I
10.1080/00036846.2024.2400381
中图分类号
F [经济];
学科分类号
02 ;
摘要
The energy market is characterized by its intricate dynamics, influenced by various factors that result in erratic behavior, making it challenging to model energy price returns and volatility. In energy market, the changes in Brent and West Texas Intermediate (WTI) crude oil price yields and volatility are the focus of great interest and attention. Due to the influence of different periods and some economic factors, the fluctuation of crude oil price shows asymmetric characteristics. For exploring the asymmetric characteristics of energy market, we introduce the application of the threshold double autoregressive (TDAR) model to handle the complexities of energy price returns and volatility. The TDAR model is able to capture nonlinearities and regime shifts in the oil market, making it particularly suitable for understanding the inherent complexities in crude oil price movements. The empirical results implied that TDAR model demonstrates superior performance in capturing the intricate dynamics of crude oil prices compared to traditional asymmetric GARCH-type models, making it a valuable tool for market practitioners and policymakers. Our findings reveal the subtle movements in Brent and WTI prices and offer valuable insights for risk management and investment strategies, which provide an alternative for market practitioners and policymakers.
引用
收藏
页数:15
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