Computational Economics, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 21, 2024
Язык: Английский
Computational Economics, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 21, 2024
Язык: Английский
Energy Economics, Год журнала: 2025, Номер unknown, С. 108291 - 108291
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
3International Review of Economics & Finance, Год журнала: 2025, Номер unknown, С. 104065 - 104065
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0PLoS ONE, Год журнала: 2024, Номер 19(11), С. e0313002 - e0313002
Опубликована: Ноя. 14, 2024
This paper uses the GJRSK model to estimate high-order moments of energy (oil, natural gas, and coal), carbon market, tourism stocks. Then, it utilizes a novel TVP-VAR time-frequency connectedness approach examine higher-order spillovers among them. The results show strong three markets. market is emitter volatility, skewness kurtosis spillovers; stock receiver; transmitter. From time-domain perspective, markets are time-varying, especially during extreme periods, where market’s spillover effects on stocks significantly enhanced, indicating that bear greater risk at leptokurtosis fat-tail moment. frequency-domain long-term asymmetric oil, more pronounced than short-term. Moreover, COVID-19 pandemic exacerbated higher-moment market. Meanwhile, Russia-Ukraine conflict led transmission within These findings have significant implications for cross-industry investors green finance management.
Язык: Английский
Процитировано
2Computational Economics, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 21, 2024
Язык: Английский
Процитировано
1