Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23696
Title: Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises
Authors: Karanasos, M
Yfanti, S
Hunter, J
Keywords: economic policy uncertainty;emerging markets;financial and health crises;macro-financial linkages;realized variance;uncertainty spillovers
Issue Date: 21-Apr-2021
Publisher: Springer Nature
Citation: Karanasos, M., Yfanti, S. and Hunter, J. (2021) 'Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises', Annals of Operations Research, 313 (2), pp. 1077 - 1116. doi: 10.1007/s10479-021-04042-y.
Abstract: Copyright © The Author(s) 2021. This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.
Description: Availability of data and material: Data available on request from the authors. The data that support the findings of this study are derived from Thomson Reuters Datastream and https://www.policyuncertainty.com/.
Code availability: OxMetrics 7 is used for the econometric estimations.
Supplementary Information is available online at https://link.springer.com/article/10.1007/s10479-021-04042-y#Sec21 .
URI: https://bura.brunel.ac.uk/handle/2438/23696
DOI: https://doi.org/10.1007/s10479-021-04042-y
ISSN: 0254-5330
Other Identifiers: ORFCID iDs: M. Karanasos https://orcid.org/0000-0001-5442-3509; S. Yfanti https://orcid.org/0000-0001-8071-916X; J. Hunter https://orcid.org/0000-0002-9693-2878.
Appears in Collections:Dept of Economics and Finance Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.1.33 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons