The Uncertainty in Energy and Cryptocurrency Markets: Is Gold Really a Safe Haven? DOI Open Access

Shuangshuang Chang,

Meng Qin, Chi‐Wei Su

и другие.

Manchester School, Год журнала: 2024, Номер unknown

Опубликована: Дек. 19, 2024

ABSTRACT Investigating gold's safe‐haven status is crucial to stabilising energy and cryptocurrency markets. To capture the dynamic relationships between energy‐related uncertainty (ERU), gold prices (GP), policy (CPOU), this study employs TVP‐SV‐VAR methodology. Through quantitative analysis, we find ERU has favourable unfavourable effects on GP. The impact underscores role against market uncertainty. At same time, negative contradicts view theoretical models, likely due U.S. dollar's value hedging performance other uncertainties. CPOU, however, positively impacts GP, supporting characteristics in aligning with predictions. Gold's comparably more consistent but slightly less significant. Additionally, validates findings by substituting CPOU price (CPRU), confirming their robustness. Given high volatility markets, article offers valuable insights for authorities maximise profits ensure stable growth.

Язык: Английский

Spillover effects between China’s new energy and carbon markets and international crude oil market: a look at the impact of extreme events DOI Creative Commons
Yong Zhang, Grace H. Tang, Rong Li

и другие.

International Review of Economics & Finance, Год журнала: 2025, Номер unknown, С. 103939 - 103939

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The impact of geopolitical risk on food prices: evidence from the TVP-SV-VAR model DOI
Qiang Liu,

Xu Chen,

Zhenwei Xu

и другие.

Journal of Economics and Finance, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Язык: Английский

Процитировано

0

Temporal Dynamics of Uncertainty Shocks on China's Trade Openness: A TVP-VAR Estimation DOI
Petros Golitsis, Kyriakos Emmanouilidis

Journal of Multinational Financial Management, Год журнала: 2025, Номер unknown, С. 100916 - 100916

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

Geopolitical risk implications for natural resource governance and conflict resolution DOI
Malin Song, Muhammad Ali Nasir, Wissal Ben Arfi

и другие.

Resources Policy, Год журнала: 2024, Номер 93, С. 105079 - 105079

Опубликована: Май 21, 2024

Язык: Английский

Процитировано

2

Research on the Impact of Economic Policy Uncertainty and Investor Sentiment on the Growth Enterprise Market Return in China—An Empirical Study Based on TVP-SV-VAR Model DOI Creative Commons

Junxiao Gui,

Nathee Naktnasukanjn,

Xi Yu

и другие.

International Journal of Financial Studies, Год журнала: 2024, Номер 12(4), С. 108 - 108

Опубликована: Окт. 25, 2024

This study employs the economic policy uncertainty index to gauge level of in China. Utilizing textual data from growth enterprise market internet community, we construct investor sentiment by applying deep learning ERNIE (Enhanced Representation through Knowledge Integration) model, thereby capturing investors’ within market. The dynamic interplay between uncertainty, sentiment, and returns is scrutinized via TVP-SV-VAR (time-varying parameter stochastic volatility vector auto-regression) asymmetric response different industries’ stock shock. findings this research are that exerts a negative influence on both While it may trigger temporary decline prices, empirical evidence suggests impact short duration. characterized reversal effect, suggesting improved initially boost prices but could lead subsequent over long term. relationship time-variant, with heightened sensitivity observed during bull markets. Lastly, effects industries found be asymmetric. These conclusions contribute existing body literature Chinese capital market, offering deeper understanding complex dynamics factors influencing behavior.

Язык: Английский

Процитировано

2

Spatial Price Transmission and Dynamic Volatility Spillovers in the Global Grain Markets: A TVP-VAR-Connectedness Approach DOI Creative Commons
Huidan Xue, Yuxuan Du,

Yuan Gao

и другие.

Foods, Год журнала: 2024, Номер 13(20), С. 3317 - 3317

Опубликована: Окт. 18, 2024

The global food market's escalating volatility has led to a complex network of uncertainty and risk transmission across different grain markets. This study utilizes the Time-Varying Parameter Vector Autoregression (TVP-VAR)-Connectedness approach analyze price dynamics key grains, including wheat, maize, rice, barley, peanut, soybean, soybean meal, their dynamic spillover directions, intensity, network. By integrating TVP-VAR-Connectedness model, this research captures time-varying variability interconnected nature movements. main findings reveal significant effects, particularly in corn prices, with prices dominating other grains while peanut experience higher external effects from grains. conclusions drawn underscore imperative for policymakers consider holistic perspective all types when addressing security, providing valuable insights management sector at both level country level.

Язык: Английский

Процитировано

1

Geopolitical turmoil and investor green preference: Evidence from the corporate bond market DOI
Paolo Fiorillo, Antonio Meles, Dario Salerno

и другие.

Journal of International Money and Finance, Год журнала: 2024, Номер unknown, С. 103218 - 103218

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

The Amplifying Role of Geopolitical Risks, Economic Policy Uncertainty, and Climate Risks on Energy-Stock Market Risk Spillover Across Economic Cycles DOI
Zinan Hu,

Sumuya Borjigin

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

1

Does cycle superposition amplify bank liquidity risk under different levels of financial openness? Empirical evidence from China DOI
Huimin Jing,

Yixin Zhu

Kybernetes, Год журнала: 2023, Номер unknown

Опубликована: Дек. 13, 2023

Purpose This paper aims to explore the impact of cycle superposition on bank liquidity risk under different levels financial openness so that banks can better manage their risk. Meanwhile, it also provide some ideas for in other emerging economies cope with shocks global cycle. Design/methodology/approach Employing monthly data 16 commercial China from 2005 2021 and based time-varying parameter vector autoregressive model stochastic volatility (TVP-SV-VAR) model, authors first examine whether magnify China's Subsequently, investigate amplification. Finally, shock world's major Chinese is empirically analyzed. Findings Cycle However, there are significant differences openness. Compared low openness, period high magnifying effect strengthened short term but obviously weakened long run. In addition, authors' findings demonstrate although United States main country, influence developed economies, such as Japan Eurozone countries, cannot be ignored. Originality/value Firstly, index constructed. Secondly, supplement literature by providing evidence association between depends dominant countries have been rejudged.

Язык: Английский

Процитировано

1

An Exploration of the Impact of Digital Economy on Bulk Commodity Trade Models and Risk Management DOI Creative Commons

Bo Lyu,

Weiyue Yao

Frontiers in artificial intelligence and applications, Год журнала: 2024, Номер unknown

Опубликована: Июль 31, 2024

Bulk commodity circulation trade has stepped into an advanced stage, the traditional model can not adapt to needs of high-quality development enterprises. If enterprises want achieve sustainable development, they must try every means continuously innovate model. Today, with rapid information technology, digital economy become a key element driving evolution global bulk models, which are also undergoing profound changes. This paper synthesizes relevant research on models and risk management through method literature review, basis goes discuss how rise affects domestic s emerging risks be effectively efficiently managed in this new economic environment. By combing summarizing literature, argues that improves transaction efficiency price transparency, reduces costs, at same time makes logistics chain more efficient controllable promotes financialization trade. The brings series challenges while bringing opportunities In context economy, mainly include security risk, supply technology network risk. For proposes corresponding strategies. order make modest contribution promote better China’s

Язык: Английский

Процитировано

0