Are Eurozone Fixed Income Markets Integrated? An Analysis Based on Wavelet Multiple Correlation and Cross Correlation
Author(s) -
Arif Billah Dar,
Firdous A. Shah
Publication year - 2014
Publication title -
economics research international
Language(s) - English
Resource type - Journals
eISSN - 2090-2123
pISSN - 2090-2131
DOI - 10.1155/2014/219652
Subject(s) - wavelet , correlation , fixed income , econometrics , economics , spurious relationship , pairwise comparison , mathematics , statistics , computer science , bond , artificial intelligence , finance , geometry
This paper investigates the synchronization of fixed income markets within Eurozone countries using the new wavelet based methodology. Conventional wavelet methods that use multivariate set of variables to calculate pairwise correlation and cross correlation lead to spurious correlation due to possible relationships with other variables, amplification of type-1 errors, and results, in the form of large set of erroneous graphs. Given these disadvantages of conventional wavelet based pairwise correlation and cross-correlation method, we avoid these limitations by using wavelet multiple correlation and multiple cross correlations to analyze the relationships in Eurozone fixed income markets. Our results based on this methodology indicate that Eurozone fixed income markets are highly integrated and this integration grows with timescales, and hence there is almost no scope for independent monetary policy and bond diversification in these countries
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