Bond yields and stock returns comparison using wavelet semblance analysis

Various measures of resemblance are increasingly applied in confrontation of data samples obtained by different sources. Semblance analysis aims at comparison of two sets of data based on their phase and frequency. Conventional semblance analysis following the Fourier transform has several deficienc...

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Main Authors: Robert Verner, Gabriel Herbrik
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2017-07-01
Series:Investment Management & Financial Innovations
Subjects:
Online Access:https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8979/imfi_2017_02cont_Verner.pdf
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author Robert Verner
Gabriel Herbrik
author_facet Robert Verner
Gabriel Herbrik
author_sort Robert Verner
collection DOAJ
description Various measures of resemblance are increasingly applied in confrontation of data samples obtained by different sources. Semblance analysis aims at comparison of two sets of data based on their phase and frequency. Conventional semblance analysis following the Fourier transform has several deficiencies resulting from the transform. To overcome these obstacles, another type of semblance analysis was developed applying the wavelet transform. This paper focuses on semblance analysis of stock prices and government bond yields of two major global economies using continuous wavelet transform regarding both scale and time.
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spelling doaj.art-7245d6e9540f4a75977b6fc895fd36a12024-12-02T04:48:33ZengLLC "CPC "Business Perspectives"Investment Management & Financial Innovations1810-49671812-93582017-07-0114228128910.21511/imfi.14(2-1).2017.128979Bond yields and stock returns comparison using wavelet semblance analysisRobert Verner0Gabriel Herbrik1Ph.D., MBA, Department of Economics, Faculty of Business Economics with seat in Košice, University of Economics in BratislavaFaculty of Business Economics with seat in Košice, University of Economics in BratislavaVarious measures of resemblance are increasingly applied in confrontation of data samples obtained by different sources. Semblance analysis aims at comparison of two sets of data based on their phase and frequency. Conventional semblance analysis following the Fourier transform has several deficiencies resulting from the transform. To overcome these obstacles, another type of semblance analysis was developed applying the wavelet transform. This paper focuses on semblance analysis of stock prices and government bond yields of two major global economies using continuous wavelet transform regarding both scale and time.https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8979/imfi_2017_02cont_Verner.pdfbond yieldsstock indicestime-serieswavelets
spellingShingle Robert Verner
Gabriel Herbrik
Bond yields and stock returns comparison using wavelet semblance analysis
Investment Management & Financial Innovations
bond yields
stock indices
time-series
wavelets
title Bond yields and stock returns comparison using wavelet semblance analysis
title_full Bond yields and stock returns comparison using wavelet semblance analysis
title_fullStr Bond yields and stock returns comparison using wavelet semblance analysis
title_full_unstemmed Bond yields and stock returns comparison using wavelet semblance analysis
title_short Bond yields and stock returns comparison using wavelet semblance analysis
title_sort bond yields and stock returns comparison using wavelet semblance analysis
topic bond yields
stock indices
time-series
wavelets
url https://businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/8979/imfi_2017_02cont_Verner.pdf
work_keys_str_mv AT robertverner bondyieldsandstockreturnscomparisonusingwaveletsemblanceanalysis
AT gabrielherbrik bondyieldsandstockreturnscomparisonusingwaveletsemblanceanalysis