Connectedness of global energy markets with global agricultural, natural resources, and socially responsible investments using extended GFI DOI
Muhammad Naeem Shahid

Journal of Financial Economic Policy, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Purpose The study aims to investigate the risk transmission from COVID-19 global agriculture, energy, natural resources/mining and environmentally/socially responsible investments. Additionally, it explores connectedness of energy indices with develops a new COVID-19-based Global Fear Index (GFI) achieve objectives, thus contributing prevailing literature. Design/methodology/approach data are selected January 2020 December 2021. uses multivariate BEKK-GARCH TVP-VAR models explore between indices. Findings Significant shock volatility transmissions all observed. Results show that resource/mining markets environmentally socially investments safe havens during COVID-19. Furthermore, these investment choices barely connected Practical implications Portfolio managers investors should invest in gauge risk-adjusted return pandemic upcoming health-related risks. Investors sectors advised diversify by adding safe-haven assets their portfolios. Social findings shed light on importance as separate asset class where ecologically friendly sentimental could diversifying Originality/value paper offers valuable insights policymakers regarding pricing, management financial market stability pandemic-type emergencies.

Language: Английский

Energy, metals, market uncertainties, and ESG stocks: Analysing predictability and safe havens DOI Creative Commons

Yang Junhua,

Samuel Kwaku Agyei, Ahmed Bossman

et al.

The North American Journal of Economics and Finance, Journal Year: 2023, Volume and Issue: 69, P. 102030 - 102030

Published: Oct. 30, 2023

To address ESG stock susceptibility to episodic shocks in financial markets, we use nonparametric quantile-based techniques applied the 2014-2022 period. We (i) analyse ability of traditional assets predict stocks returns, (ii) explore whether oil or gold serves as a safe haven for stocks, and (iii) ascertain how respond market sentiment, crypto-based uncertainty, geopolitical risk (GPR). find that gold, oil, sentiment (tracked by VIX), implied volatility crude (OVX) GPR are significant predictors returns. None both acting just diversifiers. In their turn, could hedge against from cryptocurrency-triggered uncertainties bearish states market. These findings important asset allocation management, assisting investors already ongoing switch ordinary sustainable investments.

Language: Английский

Citations

28

Geopolitical shocks and commodity market dynamics: New evidence from the Russia-Ukraine conflict DOI Creative Commons
Joshua Aizenman, Robert Lindahl, David Stenvall

et al.

European Journal of Political Economy, Journal Year: 2024, Volume and Issue: 85, P. 102574 - 102574

Published: June 21, 2024

We investigate the event-based geopolitical shocks from Russian invasion of Ukraine on agricultural and energy commodities using daily structural vector autoregression (SVAR). find that shock affects markets wheat (2%), corn (1%), European natural gas (7.5%). However, substantial heterogeneity is observed among markets. Geopolitical risk stemming Russia-Ukraine conflict market more strongly than US Asian The regional segment could explain this. Finally, our analysis explores how news dynamics stock, currency, bond

Language: Английский

Citations

15

Revisiting the Currency-Commodity Nexus: New Insights into the R2 Decomposed Connectedness and the Role of Global Shocks DOI Creative Commons
Jionghao Huang, Hao Li, Baifan Chen

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103852 - 103852

Published: Jan. 1, 2025

Language: Английский

Citations

2

Transmission mechanisms of the effects of geopolitical risk on energy returns and volatility DOI
Yun Qin, Zitao Zhang

International Review of Financial Analysis, Journal Year: 2024, Volume and Issue: 95, P. 103363 - 103363

Published: May 19, 2024

Language: Английский

Citations

8

Importance of Geopolitical Risk in Volatility Structure: New Evidence from Biofuels, Crude Oil, and Grains Commodity Markets DOI Creative Commons
Renata Karkowska, Szczepan Urjasz

Journal of commodity markets, Journal Year: 2024, Volume and Issue: unknown, P. 100440 - 100440

Published: Oct. 1, 2024

Language: Английский

Citations

7

Exploring Dynamic Extreme Dependence of Oil and Agricultural Markets DOI Creative Commons
Khalid M. Kisswani, Amine Lahiani,

Mahelet G. Fikru

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 104032 - 104032

Published: March 1, 2025

Language: Английский

Citations

1

International transmission of shocks and African forex markets DOI Creative Commons
Shoujun Huang, Ahmed Bossman, Mariya Gubareva

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 131, P. 107382 - 107382

Published: Feb. 5, 2024

We explore the influence of oil price and geopolitical risk (GPR) on international transmission shocks within African forex markets. To gauge dynamics shock we employ TVP-VAR connectedness model using daily data in 2000–2023. show that between oil-exporting oil-importing countries heterogeneously depends GPR innovations. also provide empirical evidence return volatility oil, rates upon economic events is more pronounced during financial stresses, which can alter transmission-receiver roles system variables. In pairs, find foreign exchange spillovers across exporters importers depend shocks. This emphasizes importance utilizing partial to assess linkages shared by markets face GPR. Our results are potentially insightful for market players regulators.

Language: Английский

Citations

6

Food, energy, and water nexus: A study on interconnectedness and trade-offs DOI Creative Commons
Bikramaditya Ghosh, Mariya Gubareva, Anandita Ghosh

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 133, P. 107521 - 107521

Published: April 4, 2024

This study finds interesting outcomes regarding the interlinkage between food, energy, and water sectors. The UN's Food Agriculture Organization data from January 1961 till 2023 are employed for six variables, namely Total Renewable Water resources per capita (TRW), Internal (TIRW), Withdrawal (TWW), Global Consumption (GFC), Crop Production (GCP), Electricity (GEC). Employing Quantile Vector Auto-Regression (QVAR) methodology, we observe asymmetry in connectedness across quantiles. Positive shocks produce stronger impacts variables than negative ones. production mostly acts as a receiver of shocks. is consistent net emitter all circumstances, while withdrawal crucial during regime well neutral time.

Language: Английский

Citations

5

Volatility dynamics in energy and agriculture markets: An analysis of domestic and global uncertainty factors DOI

Simran Simran,

Anil Kumar Sharma

Journal of Financial Economic Policy, Journal Year: 2024, Volume and Issue: 16(5), P. 580 - 600

Published: Aug. 21, 2024

Purpose This study aims to explore the intricate relationship between uncertainty indicators and volatility of commodity futures, with a specific focus on agriculture energy sectors. Design/methodology/approach The authors analyse Indian futures using GARCH-MIDAS model, taking into account different types factors. evaluation out-sample predictive capability involves application R -squared test computation various loss functions. Findings research outcomes underscore significant impact diverse factors such as domestic economic policy (EPU), global EPU (GEPU), US geopolitical risk (GPR) long-run (agri) futures. Additionally, demonstrates that GPR exhibits superior for crude oil volatility, while stands out an effective predictor agri particularly castor seed guar gum. Practical implications offers practical market participants policymakers adopt comprehensive perspective, incorporating factors, informed decision-making management in markets. Originality/value makes inaugural attempt examine modelling predicting distinctive feature considering emerging also adds novel dimension landscape.

Language: Английский

Citations

3

Research on the Impact of Investor Sentiment on Chinese Wheat Futures Prices Based on Artificial Intelligence Text Mining and Sentiment Analysis DOI
Yakun Wang, Yongyan Li,

Zhongyang Huang

et al.

Published: March 21, 2025

Language: Английский

Citations

0