Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach

Bai, Xiwen

doi:10.1016/j.energy.2021.121383

Cited by 14 publications

(4 citation statements)

References 63 publications

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“…Gold futures, according to Zhou et al (2021), can be used to protect against stock market losses, although the vast variety of commodity futures appear to be viewed as a distinct asset category because of the increasing financialization of commodities. The energy futures market also actively takes part in the coordination of stock and commodity markets, as shown by Bai (2021b). In order to see if the price overreaction behavior varies between various commodities, we looked at 20 distinct commodity futures because of this heterogeneity.…”

Section: Commodity Markets and Effect Of Covid-19mentioning

confidence: 99%

“…As the COVID-19 epidemic has spread, so has the level of uncertainty. It is possible to see an increase in global economic policy uncertainty from 234 in January 2020 to 298 in September 2020, based on the news-based global economic policy uncertainty index (PPP-adjusted GDP) (Bai 2021a). Pandemic uncertainty stems from a variety of factors, including the disease's infectiousness, widespread distribution, and short incubation period.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED ARTICLE: Economic policy uncertainty and commodity market volatility: implications for economic recovery

Xiao

Ayub

2022

Environ Sci Pollut Res

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As a consequence of the COVID-19 pandemic outbreak, most commodities experienced significant price drops, which were expected to continue well into 2020. As a result, the Markov switching model is used to study the influence of policy uncertainty and the COVID-19 pandemic on commodity prices in the USA. Commodity markets are stimulated by economic policy uncertainty, according to results from a two-state Markov switching model. In both high and low regimes, economic policy uncertainty (EPU) influences the commodity market, according to the study's findings. However, in the high regime, EPU has a greater influence on the energy and metal sectors. EPU has different influences on commodity markets in highand low-volatility regimes, according to this study. There is a wide range of correlations between COVID-19 outcomes and EPU and how the prices of natural gas, oil, corn, silver, soybean, copper, gold, and steel respond to these tremors, in both high-and low-volatility tenure. Oil and natural gas, on the other hand, are unaffected by shifts in COVID-19 death rates under either regime. Results show that in both high-and low-volatility regimes, the demand and supply for most commodities are responsive to historical prices.

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Section: Commodity Markets and Effect Of Covid-19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Economic policy uncertainty and commodity market volatility: implications for economic recovery

Xiao

Ayub

2022

Environ Sci Pollut Res

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“…Furthermore, scholarly examination informs investment strategies [11], augments operational efficiencies, and guides adaptation to changing regulatory landscapes [12]. Examination of market trends assists stakeholders in harnessing shifts to their advantage, while the progressive integration of technology reshapes market operations and necessitates ongoing academic attention [13]. In summary, the academic literature on complexity transformation in market volatility emphasizes the need for sophisticated models and approaches to capture the dynamic interdependencies and systemic risks within the energy sector.…”

Section: Introductionmentioning

confidence: 99%

Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market

Chen,

Liang

2024

Preprint

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This research investigates the complex transformation of the Baltic Clean and Dirty Tankers markets from 1998 to 2023. Our study quantifies the market multifractality in two distinct periods, from 1998 to 2010 and 2010 to 2023. We compare multifractal measures of the original, surrogated, and shuffled data, which indicate high multifractality and a complex market structure influenced by temporal organization and inherent volatility. Shuffled data analysis emphasizes the critical role of temporal sequences within market behaviour. Additionally, the study delves into external factors such as regulatory changes, economic disturbances, technological innovation, and environmental concerns contributing to market complexity. A distinct shift in multifractal values between the two periods suggests an evolution from crisis-induced complexities to a market influenced by diversified and modern dynamics. Our findings offer a concise understanding of the multifractal nature of the tanker markets and how global crises can impact the markets, emphasizing the importance of considering systemic risks in freight market analysis.

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“…Under the strong impact of multiple external factors, the world has entered a complex risk era with multiple crises [2,3]. Especially after 2018, international trade has been greatly affected by changes in tariff policies or the trade behavior adjustment of various countries, and the risk of uncertainty is growing [4][5][6]. In recent years, many scholars have studied the impact of trade policies.…”

Section: Introductionmentioning

confidence: 99%

China-Australia Trade Relations and China’s Barley Imports

Liu

Sun

2023

Agriculture

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The high concentration of China’s barley import sources determines that China’s barley import trade is vulnerable to the impact of tariff policy adjustment. In particular, in 2020, China implemented anti-dumping and anti-subsidy policies against Australia, the largest source of barley imports. Therefore, whether China’s barley import trade will face import risks due to the adjustment of tariff policy has become a question worth discussing. Based on the above background, this study uses the partial equilibrium model to explore the impact of China’s adjustment of tariff policy on imported barley from Australia on China’s barley industry under the changing trade relations between China and Australia. Through analyzing the feasibility of developing domestic barley industry and expanding barley import sources, further explore strategies to deal with barley import trade risks. The results show that: Under the three import tariff adjustment simulations, the total import volume of China’s barley shows a downward trend, and the import price increases to varying degrees. However, the relatively small increase in domestic production suggests that the domestic barley market is less able to cope with the risk of a sharp drop in imports. At the same time, affected by the adjustment of tariff policy, some Chinese consumer demand is difficult to satisfy. China can deal with trade risks by implementing an import diversification strategy.

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Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach

Cited by 14 publications

References 63 publications

RETRACTED ARTICLE: Economic policy uncertainty and commodity market volatility: implications for economic recovery

RETRACTED ARTICLE: Economic policy uncertainty and commodity market volatility: implications for economic recovery

Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market

China-Australia Trade Relations and China’s Barley Imports

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