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Showing 7 of 7 academic articles

Global oil price and stock markets in oil exporting and European countries: Evidence during the Covid-19 and the Russia-Ukraine war

David Oluseun Olayungbo, Aziza Zhuparova, Mamdouh Abdulaziz Saleh Al-Faryan, Michael Segun Ojo • Research in Globalization (2024)

The relationship between oil price movements and stock markets during the COVID-19 pandemic and the geopolitical crisis like the ongoing Russian-Ukraine war is yet unexplored extensively. This study therefore examines the return-correlation...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.resglo.2024.100199

Changes in the Association between GDP and Night-Time Lights during the COVID-19 Pandemic: A Subnational-Level Analysis for the US

Taohan Lin, Nataliya Rybnikova • Geomatics (2023)

Night-time light (NTL) data have been widely used as a remote proxy for the economic performance of regions. The use of these data is more advantageous than the traditional census approach is due to its timeliness, low cost, and comparabili...

DOAJ Open Access (DOAJ) DOI: 10.3390/geomatics3010008

Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic

Parisa Foroutan, Salim Lahmiri • Financial Innovation (2024)

Abstract The notion that investors shift to gold during economic market crises remains unverified for many cryptocurrency markets. This paper investigates the connectedness between the 10 most traded cryptocurrencies and gold as well as cru...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40854-023-00596-x

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

Sun-Feel Yang, So-Won Choi, Eul-Bum Lee • Energies (2023)

The ongoing Russia–Ukraine conflict has exacerbated the global crisis of natural gas supply, particularly in Europe. During the winter season, major importers of liquefied natural gas (LNG), such as South Korea and Japan, were directly affe...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16114271

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases (2024)

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-024-09750-x