Financial Emerging Markets Revisited
Carlos Armando Franco Ruiz () and
Guillermo Benavides Perales ()
Additional contact information
Carlos Armando Franco Ruiz: Tecnologico de Monterrey, EGADE Business School
Guillermo Benavides Perales: Banco de Mexico
A chapter in Data Analytics Applications in Emerging Markets, 2022, pp 75-91 from Springer
Abstract:
Abstract This chapter analyzes the financial markets of the economic group MIST (Mexico, Indonesia, South Korea, and Turkey) by studying the ETFs related to these countries. The previous economic group is crucial because it has the potential of becoming a leading participant in emerging markets. The document examines their financial time series by identifying outliers, volatility models, time series decomposition, and detecting mildly explosive processes (“financial bubbles”). The results obtained show significant negative outliers, non-constant volatility, and the identification of five exuberant behaviors in Mexico’s ETF.
Keywords: MIST; Stylized facts; ETFs (search for similar items in EconPapers)
JEL-codes: G10 G15 O54 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-981-19-4695-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9789811946950
DOI: 10.1007/978-981-19-4695-0_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().