Small-scale low-tropic ocean farming and coastal rural landscapes: Why the logistics of seaweed matter? Insights from Ireland for collaborative planning

Cerca, Mariana; Sosa, Amanda; Vance, Charlene; Pollard, Priya; Maguire, Julie; Murphy, Fionnuala

doi:10.1016/j.marpol.2024.106140

Cited by 2 publications

References 37 publications

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The Dynamic Influence of Uncertainty on Sector Equity Funds: A Time-Frequency Analysis of Oil, Gold, and Market Volatility

Khan,

Khan

2024

Preprint

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This research employs a time-frequency approach to explore the interrelations among US sector equity ETFs, oil, gold, the overall stock market, and various uncertainty indicators across different time horizons from 2019 to 2023. It utilizes a frequency-dependent spillover index and strategies for portfolio hedging to construct its findings. The analysis reveals that the market's anticipation of volatility in the US stock market for the next 30 days, as measured by the VIX, significantly influences US sector equity ETFs over both short and long durations. This influence is succeeded by expectations of oil price volatility, denoted by OVX. Among the indicators of uncertainty, the impact of US economic policy uncertainty on sector ETFs is found to be minimal. Comparatively, oil exhibits a more pronounced impact on sector ETFs than gold, across both observed time frames. The interactions among sector ETFs, gold, oil, and the uncertainty measures display a non-uniform nature, being more pronounced in the short term and intensifying during periods of financial distress and economic instability. From a portfolio hedging perspective, oil emerges as a superior hedge against sector ETF volatility in both the immediate and extended terms, with the Consumer Staples ETF showing the greatest hedging efficiency.

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The Dynamic Influence of Uncertainty on Sector Equity Funds: A Time-Frequency Analysis of Oil, Gold, and Market Volatility

Khan,

Khan

2024

Preprint

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Trends in research on the implementation of artificial intelligence in supply chain management

Sánchez Suárez,

Sangroni Laguardia

2023

LatIA

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Supply chains play a critical role in the functioning of the global economy. The integration of information systems and emerging technologies, such as artificial intelligence and the Internet of Things, improves visibility, decision making and responsiveness throughout the supply chain. The objective of the research is to analyze research trends on the implementation of artificial intelligence to supply chain management. The research paradigm was quantitative, based on a descriptive, retrospective and bibliometric study, in the SCOPUS database, during the period from 2019 to 2024, without language restriction. The trend of research was positive and towards increase with a maximum peak in the year 2023 of 214 researches, research articles in the area of computer science predominated. The top producing country was the United Kingdom with 127 research papers and four lines of scientific research were identified around the implementation of artificial intelligence in supply chain management. In the business environment, the ability of supply chains to adapt to change is crucial; their management includes planning and coordination, logistics process management and customer relationship management. The integration of information systems and emerging technologies, such as artificial intelligence, has had a great impact on the improvement of all the processes involved in management.

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Small-scale low-tropic ocean farming and coastal rural landscapes: Why the logistics of seaweed matter? Insights from Ireland for collaborative planning

Cited by 2 publications

References 37 publications

The Dynamic Influence of Uncertainty on Sector Equity Funds: A Time-Frequency Analysis of Oil, Gold, and Market Volatility

The Dynamic Influence of Uncertainty on Sector Equity Funds: A Time-Frequency Analysis of Oil, Gold, and Market Volatility

Trends in research on the implementation of artificial intelligence in supply chain management

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