scholarly journals How Hard is the Euro Area Core? An Evaluation of Growth Cycles Using Wavelet Analysis

2006 ◽  
Author(s):  
David G. Mayes ◽  
Patrick M. M. Crowley ◽  
Douglas Maraun
Ekonomika ◽  
2012 ◽  
Vol 91 (4) ◽  
Author(s):  
Brigita Šidlauskaitė ◽  
Norbertas Balčiūnas

Abstract. With the European Union integration growing deeper and Euro area countries having the common currency, excluding possibility of a national monetary policy, academic society has raised a debate on economic stabilization opportunities in individual Euro area countries in case the common monetary policy would prove to be adverse. According to the optimum currency area theory, one of the necessary conditions for the successful functioning of the monetary union is the homogeneity of its countries. The possible economic shocks could have a different impact on the economy of individual Euro area countries in the presence of significant differences in their economy structure. Applying the Hodrick–Prescott method, this study identifies and analyses economic growth cycles in the main economic sectors of the Euro area countries. The results suggest that not all economic growth cycles of the Euro area countries sufficiently correlate with the Euro area average, and one of the predetermining factors is the differences in the economic structure.Key words: asymmetry of economic growth cycle, Euro area, value added structure


2019 ◽  
Vol 239 (5-6) ◽  
pp. 895-916 ◽  
Author(s):  
Michael Scharnagl ◽  
Martin Mandler

Abstract We study the within-country dimension of financial cycles in the four largest euro area economies using tools from wavelet analysis. We focus on credit and house price cycles which are most commonly used to represent the financial cycle. With the exception of Germany, the variables contain important common cycles within each country close to the upper bound of business cycle length and beyond which can be interpreted as financial cycles. These cycles are closely linked to domestic cycles in real activity showing financial and real economic cycles as interconnected phenomena. For these common cycles, credit and house prices lag real GDP.


1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.


ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu

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