Economics at your fingertips  

Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks

Mehmet Balcilar, Huseyin Ozdemir and Busra Agan

Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, issue C

Abstract: We use time and frequency connectedness approaches based on network analysis to investigate the volatility connectedness among 27 emerging equity markets and seven high-capitalized cryptocurrencies. We estimate the network connectedness using the standard, quantile, frequency, and lasso VAR models for the pre- and post-COVID-19 pandemic periods and daily data over the period from October 2, 2017 to May 20, 2022. The network connectedness estimates based on the several models used in this study indicate a growing risk spillover among and within the emerging market equities and the cryptocurrencies after the COVID-19 pandemic hit the world. The frequency connectedness analysis shows that cryptocurrencies cannot be used as diversifiers for emerging stock markets in both the short and long-run. The empirical findings from the quantile VAR model reveal that the volatility connectedness in the tails is much stronger compared to the center of the distribution. It is also evident that Saudi Arabia, Thailand’s stock markets, and USDT are the main risk transmitters at the 0.95-th quantile during the post-COVID period. Time-varying connectedness estimates confirm the substantial effect of COVID-19. Our study also shows that the spread of risk among these financial markets is global rather than regional, supporting cross-border structure and worldwide financial market integration. The findings suggest cryptocurrency and emerging market equity portfolios should be closely monitored during financial turmoil.

Keywords: Volatility connectedness; Network analysis; Emerging equity markets; Cryptocurrency; COVID-19 outbreak (search for similar items in EconPapers)
JEL-codes: C32 F42 G15 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:

DOI: 10.1016/j.physa.2022.127885

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2023-08-05
Handle: RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122005696