On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis

2021 ◽  
Author(s):  
Walid M.A. Ahmed
Keyword(s):  
Higher Order ◽  
Commodity Markets ◽  
Wavelet Coherence ◽  
Order Moment ◽  
Coherence Analysis ◽  
Wavelet Coherence Analysis

Wavelet coherence analysis of prefrontal oxygenation signals in elderly subjects with hypertension

2014 ◽  
Vol 35 (5) ◽  
pp. 777-791 ◽  
Author(s):  
Zengyong Li ◽  
Ming Zhang ◽  
Ruofei Cui ◽  
Qing Xin ◽  
Lu Liqian ◽  
...  
Keyword(s):  
Wavelet Coherence ◽  
Elderly Subjects ◽  
Coherence Analysis ◽  
Wavelet Coherence Analysis

scholarly journals Multi-scale investigation on streamflow temporal variability and its connection to global climate indices for unregulated rivers in India

2021 ◽  
Author(s):  
Pavan Kumar Yeditha ◽  
Tarun Pant ◽  
Maheswaran Rathinasamy ◽  
Ankit Agarwal
Keyword(s):  
Wavelet Transform ◽  
Temporal Variability ◽  
Global Climate ◽  
Phase Relationship ◽  
Wavelet Coherence ◽  
Climate Indices ◽  
Coherence Analysis ◽  
Cross Wavelet Transform ◽  
Wavelet Coherence Analysis ◽  
Cross Wavelet

Abstract With the increasing stress on water resources for a developing country like India, it is pertinent to understand the dominant streamflow patterns for effective planning and management activities. This study investigates the spatiotemporal characterization of streamflow of six unregulated catchments in India. Firstly, Mann Kendall (MK) and Changepoint analysis were carried out to detect the presence of trends and any abrupt changes in hydroclimatic variables in the chosen streamflows. To unravel the relationships between the temporal variability of streamflow and its association with precipitation and global climate indices, namely, Niño 3.4, IOD, PDO, and NAO, continuous wavelet transform is used. Cross-wavelet transform and wavelet coherence analysis was also used to capture the coherent and phase relationships between streamflow and climate indices. The continuous wavelet transforms of streamflow data revealed that intra-annual (0.5 years), annual (1 year), and inter-annual (2–4 year) oscillations are statistically significant. Furthermore, a better understanding of the in-phase relationship between the streamflow and precipitation at intra-annual and annual time scales were well-captured using wavelet coherence analysis compared to cross wavelet transform. Furthermore, our analysis also revealed that streamflow observed an in-phase relationship with IOD and NAO, whereas a lag correlation with Niño 3.4 and PDO indices at intra-annual, annual and interannual time scales.

scholarly journals IMPACT OF TRADE OPENNESS ON ENVIRONMENT IN CHINA

2020 ◽  
Vol 21 (4) ◽  
pp. 1185-1202 ◽  
Author(s):  
Wen Jun ◽  
Hamid Mahmood ◽  
Muhammad Zakaria
Keyword(s):  
Carbon Emission ◽  
Trade Openness ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Pollution Haven Hypothesis ◽  
Causality Test ◽  
Pollution Haven ◽  
Analysis Phase ◽  
The Impact ◽  
Wavelet Coherence Analysis

The study investigates the impact of trade openness on pollution in China by applying wavelet-coherence analysis, phase-difference technique and Breitung and Candelon (2006) causality test. The estimated results provide some dynamic association between trade openness and pollutant variables. The results indicate that trade openness has increased pollution in China especially after 2001 when China became member of WTO. It suggests that “pollution haven hypothesis” exists in China. These results imply that trade openness has increased exports which has increased domestic production by increasing the scale of industries, which in turn has increased pollution in the country. The findings of spectral domain causality test show that trade openness causes carbon emission both in short, medium and long runs. It indicates that trade openness forecast carbon emissions in China. The results suggest that China should take suitable measures while following trade openness policy to avoid pollution.

scholarly journals Co-movement of stock exchange indices and exchange rates in Ghana: A wavelet coherence analysis

2018 ◽  
Vol 5 (1) ◽  
pp. 1481559
Author(s):  
Peterson Owusu Junior ◽  
Baidoo Kwaku Boafo ◽  
Bright Kwesi Awuye ◽  
Kwame Bonsu ◽  
Henry Obeng-Tawiah ◽  
...  
Keyword(s):  
Exchange Rates ◽  
Stock Exchange ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Wavelet Coherence Analysis

One size does not fit all: external driver of the cryptocurrency world

2020 ◽  
Vol 37 (3) ◽  
pp. 545-560
Author(s):  
Yaman Omer Erzurumlu ◽  
Tunc Oygur ◽  
Alper Kirik
Keyword(s):  
Analytical Framework ◽  
External Factors ◽  
Wavelet Coherence ◽  
Specific Factor ◽  
Discrete Wavelet ◽  
Coherence Analysis ◽  
Holistic View ◽  
Content Type ◽  
External Driver ◽  
Wavelet Coherence Analysis

Purpose Considering the different motivation for the creation of each of these cryptocurrencies, the purpose of this paper is to examine whether there is a dominant external factor in the cryptocurrency world. Using a novel two-step time and frequency independent methodology, the authors examine a large scope of cryptocurrencies and external factors within the same period, and analytical framework. Design/methodology/approach The examined cryptocurrencies are Bitcoin, Ethereum, Ripple, Litecoin, Monero and Dash. In total, 18 external factors from 5 factor families are selected based on the mining motivation of these cryptocurrencies. The study first examines discrete wavelet transform-based (WTB) correlations, reduce the dimension and focuson relevant pairs. Selected pairs are further examined by wavelet coherence to capture the intermittent nature of the relationships allowing the most needed “Flexibility of frequency and time domains”. Findings Each coin appears to operate as a unique character with the exception of Bitcoin and Litecoin. There is no prominent external driver. The cryptocurrency market is not a clear substitute for a specific factor or market. Two-step WTB filtered wavelet coherence analysis help us to analyze a large number of factor without the loss of focus. The co-movements within the cryptocurrencies spillover from Ethereum to altcoins and later to Bitcoin. Originality/value The study presents one of the first examples of two-step WTB filtered wavelet coherence analysis. The methodology suggests an approach for simultaneous examination of large number of variables. The scope of the study provides a rather holistic view of the co-movements of external factors and major cryptocurrencies.

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