Connectedness for natural gas and Asian stock markets: time-frequency and cross-quantile approaches DOI
Luxi Sun,

Chenlu L Wu,

Xin Cui

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Nov. 14, 2024

This study examines the interrelationship between 12 major Asian stock markets and natural gas market using data from 4 January 2010, to 31 December 2023. We employ three primary methodologies: Maximal Overlap Discrete Wavelet Transform (MODWT), Cross-Quantilogram (CQ), TVP-VAR model investigate connectedness spillover effects these markets. Our findings indicate that volatility of imparts positive predictability markets, though specific extent impact varies across time scales quantile levels. Furthermore, results analysis reveal significant spillovers within network in short term, with acting as a risk receiver. Specifically, occur Hong Kong Stock Exchange, Taiwan South Korea Shanghai Singapore while other remain net receivers.

Language: Английский

Dynamic tail risk connectedness among green REITs, sustainability products, and fossil energy assets under external shocks DOI
Liya Hau, Yao Ge, Yongmin Zhang

et al.

Finance research letters, Journal Year: 2025, Volume and Issue: unknown, P. 106864 - 106864

Published: Jan. 1, 2025

Language: Английский

Citations

2

Greening the energy industry: An efficiency analysis of China's listed new energy companies and its market spillovers DOI
Xiaohang Ren, Shen Wang, Weifang Mao

et al.

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108414 - 108414

Published: March 1, 2025

Language: Английский

Citations

1

Green Bond Market Stability and Russia Ukraine Conflict: The Role of Green Inclusive Finance DOI
Anqi Wang, Shusheng Ding, Tianxiang Cui

et al.

Research in International Business and Finance, Journal Year: 2024, Volume and Issue: unknown, P. 102734 - 102734

Published: Dec. 1, 2024

Language: Английский

Citations

4

Effects of Sanction Announcements on the Prices of Various Crude Oils in the Shadow of Russia-Ukraine Conflict DOI
László Kökény,

Hunor Kelemen,

Olivér Hortay

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring currency interdependence in West Africa: a time-varying parameter vector autoregression analysis DOI
Andrew Kwamina Bram, Charles Ofori, Tinashe Mangudhla

et al.

The Journal of Risk Finance, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Purpose Considering the impact of significant economic and political events, this study investigates return spillovers connectedness among eight West African currencies from March 31, 2010, to 28, 2024. It aims enhance understanding interdependencies within foreign exchange market, providing insights into region’s risk management diversification opportunities. Design/methodology/approach Using time-varying parameter vector autoregression (TVP-VAR) method, analyzes daily rate returns capture dynamic spillover effects selected currencies. This approach identifies key transmitters receivers shocks, reflecting evolving interactions over time. Findings The results show that Sierra Leonean Leone, Cape Verdean Escudo, CFA Franc are net shocks. At same time, Ghana Cedi, Nigerian Naira, Gambian Dalasi, Guinean Franc, Liberian Dollar receivers, with Dalasi being most affected. These findings suggest relatively low regional connectedness, offering favorable Originality/value provides a comprehensive analysis interconnectedness currencies, contributing limited literature on region. have practical implications for investors policymakers in managing risks designing interventions stabilize market.

Language: Английский

Citations

0

Analysis of Self-Similarity in Short and Long Movements of Crude Oil Prices by Combination of Stationary Wavelet Transform and Range-Scale Analysis: Effects of the COVID-19 Pandemic and Russia-Ukraine War DOI Creative Commons
Salim Lahmiri

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(3), P. 176 - 176

Published: March 14, 2025

This paper examines the self-similarity (long memory) in prices of crude oil markets, namely Brent and West Texas Instruments (WTI), by means fractals. Specifically, price series are decomposed stationary wavelet transform (SWT) to obtain their short long oscillations. Then, Hurst exponent is estimated from each resulting oscillation rescaled analysis (R/S) represent hidden fractals original series. The performed during three periods: calm period (before COVID-19 pandemic), pandemic, Russia-Ukraine war. In summary, WTI exhibited significant increases persistence movements pandemic addition, they showed a increase anti-persistence decrease It concluded that both war significantly affected memory prices.

Language: Английский

Citations

0

Wavelet Entropy for Efficiency Assessment of Price, Return, and Volatility of Brent and WTI During Extreme Events DOI Creative Commons
Salim Lahmiri

Commodities, Journal Year: 2025, Volume and Issue: 4(2), P. 4 - 4

Published: March 21, 2025

This study analyzes the market efficiency of crude oil markets, namely Brent and West Texas Intermediate (WTI), during three different periods: pre-COVID-19, COVID-19 pandemic, ongoing Russia–Ukraine military conflict. To evaluate wavelet entropy is computed from price, return, volatility series. Our empirical results show that WTI prices are predictable conflict, but difficult to predict same period. The were pandemic. Returns in more conflict than they Finally, carried information pandemic compared Also, series for These findings offer insightful investors, traders, policy makers relation energy under various extreme conditions.

Language: Английский

Citations

0

Connectedness for natural gas and Asian stock markets: time-frequency and cross-quantile approaches DOI
Luxi Sun,

Chenlu L Wu,

Xin Cui

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Nov. 14, 2024

This study examines the interrelationship between 12 major Asian stock markets and natural gas market using data from 4 January 2010, to 31 December 2023. We employ three primary methodologies: Maximal Overlap Discrete Wavelet Transform (MODWT), Cross-Quantilogram (CQ), TVP-VAR model investigate connectedness spillover effects these markets. Our findings indicate that volatility of imparts positive predictability markets, though specific extent impact varies across time scales quantile levels. Furthermore, results analysis reveal significant spillovers within network in short term, with acting as a risk receiver. Specifically, occur Hong Kong Stock Exchange, Taiwan South Korea Shanghai Singapore while other remain net receivers.

Language: Английский

Citations

0