Using Wavelet Analysis of Mortgages and Gross Domestic Product to Classify Spanish Provinces

نویسندگان

  • CONCEPCIÓN GONZÁLEZ-CONCEPCIÓN
  • MARÍA CANDELARIA GIL-FARIÑA
  • CELINA PESTANO-GABINO
چکیده

In this paper we use wavelet coherency and phase-difference analysis to classify all Spanish provinces based on Monthly Total Mortgage data in each province and Quarterly Gross Domestic Product data in Spain. The information obtained using wavelet analysis leads us to propose two different classifications for the fifty-two Spanish provinces. First, we use the wavelet coherency level between two transformed Quarterly Growth Rates series derived from the aforementioned financial data for the period 1995-2012 to obtain five groups. Second, we propose eight groups based on whether the phase-difference for the two data series indicates that the series progress in phase or anti-phase, and also on whether the Total Mortgage series leads the Gross Domestic Product series or vice versa. Key-Words: Wavelets, wavelet coherency, phase-difference, Mortgages by provinces, Gross Domestic Product

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تاریخ انتشار 2013