Assessing the Time-Frequency Co-Movements among the Five Largest Engineering Consulting Companies: A Wavelet-Base Metrics of Contagion and VaR Ratio
Marcos Albuquerque Junior,
José António Filipe,
Paulo de Melo Jorge Neto and
Cristiano da Costa da Silva
Additional contact information
Marcos Albuquerque Junior: Iscte-Instituto Universitário de Lisboa, 1649-026 Lisboa, Portugal
José António Filipe: Departamento de Matemática, Iscte-Instituto Universitário de Lisboa, ISTAR-Iscte, BRU-Iscte, 1649-026 Lisboa, Portugal
Paulo de Melo Jorge Neto: Center for Advanced Studies, Economics CAEN-UFC-Department of Economics, Federal University of Ceará, Fortaleza 60020-180, Brazil
Cristiano da Costa da Silva: Graduate Program in Economics-EPP/UERN, Department of Economics, University of the State of Rio Grande do Norte, Mossoró 59610-210, Brazil
Mathematics, 2021, vol. 9, issue 5, 1-16
Abstract:
Diversification in a portfolio is an important tool for the systematic risk management that is inherent to different asset classes. The composition of a portfolio with domestic and international assets is seen as one of the main alternatives for building a diversified portfolio, as this approach tends to reduce portfolio return exposure depending on country factors. However, in scenarios where industry factors are predominant, international diversification can increase systematic risk in a portfolio centered on a single asset class. This study is a pioneer in using wavelet-based methods to identify intersectoral co-movements, based on a portfolio of shares of the world’s top five consulting engineering companies, providing an innovative way to be applied to this phenomenon. Our evidence indicates that companies share a strong pattern of co-movements among themselves, especially in cycles of 32 to 64 days, suggesting a higher exposure to risk for portfolios with an investment horizon in long-term cycles.
Keywords: wavelet; industry factors; country factors; value at risk; co-movements; coherency (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/9/5/504/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/5/504/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:5:p:504-:d:508184
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().