Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks

This paper firstly investigates the frequency- and time-varying co-movement and causal relationship between crude oil prices (proxied by the West Texas Intermediate, Brent, Dubai and Nigerian Forcados spot oil prices) and geopolitical risks based on the wavelet analysis over the period of 1985–2016. Overall, our results demonstrate significant dynamic co-movement and causality in the varying time–frequency domains. We find high degree of co-movement between geopolitical risks and oil prices at high frequencies (in the short run) for the entire sample period; however, such a correlation does not exist at low frequencies (in the long run) for most of the sample period. We also find distinct patterns of causal relationships between geopolitical risks and oil prices across different benchmark markets. Results are robust when we control for global economic outlook. Our findings provide valuable implications for policy makers and oil market investors based on the dynamic relationship between geopolitical risks and oil prices.

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Performance of time-frequency coded spread spectrum systems operating over noisy fading channels

IEE Proceedings F Communications Radar and Signal Processing ◽

10.1049/ip-f-1.1988.0061 ◽

1988 ◽

Vol 135 (6) ◽

pp. 513 ◽

Cited By ~ 3

Author(s):

P. Belezinis ◽

L.F. Turner

Keyword(s):

Fading Channels ◽

Spread Spectrum ◽

Time Frequency ◽

Spread Spectrum Systems

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Time-Frequency Analysis between Renewable and Nonrenewable Energy Consumption, Economic Growth, and CO 2 Emissions in the United States: Evidence from the Transportation Sector

CICTP 2020 ◽

10.1061/9780784483053.250 ◽

2020 ◽

Author(s):

Qinghui Xu ◽

Muhammad Umar ◽

Xiangfeng Ji

Keyword(s):

United States ◽

Economic Growth ◽

Energy Consumption ◽

Frequency Analysis ◽

The United States ◽

Time Frequency Analysis ◽

Time Frequency ◽

Transportation Sector ◽

Nonrenewable Energy

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A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset207430 ◽

2020 ◽

pp. 129-139

Author(s):

Weihai Sun ◽

Lemei Han

Keyword(s):

Fault Detection ◽

Signal Analysis ◽

Energy Analysis ◽

Detection Method ◽

Sound Signal ◽

Practical Significance ◽

Time Frequency ◽

Detection Approach ◽

Machine Fault ◽

Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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Consideration of Geopolitical Challenges within the Analysis of Geoenvironmental Risks for Oil and Gas Development of the Russian Arctic

Issues of Risk Analysis ◽

10.32686/1812-5220-2019-16-6-50-59 ◽

2019 ◽

Vol 16 (6) ◽

pp. 50-59

Author(s):

O. P. Trubitsina ◽

V. N. Bashkin

Keyword(s):

Oil And Gas ◽

Oil And Gas Industry ◽

Optimal Operation ◽

The Arctic ◽

Stage Model ◽

Oil And Gas Development ◽

Gas Industry ◽

The Impact ◽

Further Development ◽

Geopolitical Risks

The article is devoted to the consideration of geopolitical challenges for the analysis of geoenvironmental risks (GERs) in the hydrocarbon development of the Arctic territory. Geopolitical risks (GPRs), like GERs, can be transformed into opposite external environment factors of oil and gas industry facilities in the form of additional opportunities or threats, which the authors identify in detail for each type of risk. This is necessary for further development of methodological base of expert methods for GER management in the context of the implementational proposed two-stage model of the GER analysis taking to account GPR for the improvement of effectiveness making decisions to ensure optimal operation of the facility oil and gas industry and minimize the impact on the environment in the geopolitical conditions of the Arctic.The authors declare no conflict of interest

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