Regime changes and extreme risk spillovers of INE crude oil futures DOI

Min Liu,

Xu Yang,

Chien‐Chiang Lee

и другие.

Applied Economics, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Июнь 18, 2024

This study identifies the regime changes and investigates extreme risk spillovers of China's first international crude oil futures (INECOFs). The novelty this is that a non-linear process incorporated to examine structural breaks INECOFs capture movements risk. To facilitate traders global financial investors hedge against risk, between market are investigated. We find that: (1) two-regime GJRGARCH-SGED model can identify generate more accurate measures; (2) probability in tranquil 86.01% agitated 13.99%; (3) plays modest role spillover network, while benchmark an important role; (4) upside receiver downside transmitter. make attempt volatility spillovers.

Язык: Английский

The Multifractal Nature of Cross-Correlations between Emerging Market Equities and Financial Assets: An Econophysics Perspective DOI Creative Commons
Türker AÇIKGÖZ

Computational Economics, Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0

Natural resources governance and geopolitical risks: A literature review and bibliometric analysis DOI

Jiangli Yu,

Shuo Wang, Wantong Yang

и другие.

Resources Policy, Год журнала: 2023, Номер 86, С. 104299 - 104299

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

9

Modelling Volatility in the Commodity Market Amidst Russia- Ukraine War DOI Open Access
Kingsley Imandojemu, Abubakar Sule

Energy RESEARCH LETTERS, Год журнала: 2024, Номер 5(Early View)

Опубликована: Янв. 13, 2024

We pursue two noteworthy effects of the Russia-Ukraine war on commodity market volatility. First, we construct a index while modelling Second, explore relationship between and volatility using various estimators. find consistent patterns in models selected Our results show that triggered

Язык: Английский

Процитировано

3

Exploring the Cross-Correlations between Tesla Stock Price, New Energy Vehicles and Oil Prices: A Multifractal and Causality Analysis DOI
Xingyue Gong, Guozhu Jia

Fluctuation and Noise Letters, Год журнала: 2024, Номер 23(03)

Опубликована: Март 20, 2024

The interaction between new energy vehicle (NEV) stock prices and the crude oil market is crucial for resource allocation risk management. This study employs Multifractal detrended cross-correlation analysis (MF-DCCA) to investigate multifractal characteristics of Tesla price (TSLA) (Brent), as well TSLA other NEV stocks (excluding TSLA). experimental results reveal long-term persistence multiple fractal in cross-correlations. Additionally, asymmetric (MF-ADCCA) demonstrates asymmetry during upward or downward trends Brent, Furthermore, utilizing transfer entropy (TE) method, we assess strength direction information flows Interestingly, observe bidirectional transmission stocks, while only unidirectional from NIO evident. These findings provide valuable insights allocation, supply chain management sustainable development strategies decision-makers market.

Язык: Английский

Процитировано

3

Regime changes and extreme risk spillovers of INE crude oil futures DOI

Min Liu,

Xu Yang,

Chien‐Chiang Lee

и другие.

Applied Economics, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Июнь 18, 2024

This study identifies the regime changes and investigates extreme risk spillovers of China's first international crude oil futures (INECOFs). The novelty this is that a non-linear process incorporated to examine structural breaks INECOFs capture movements risk. To facilitate traders global financial investors hedge against risk, between market are investigated. We find that: (1) two-regime GJRGARCH-SGED model can identify generate more accurate measures; (2) probability in tranquil 86.01% agitated 13.99%; (3) plays modest role spillover network, while benchmark an important role; (4) upside receiver downside transmitter. make attempt volatility spillovers.

Язык: Английский

Процитировано

3