Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks
Emmanuel Abakah,
Aviral Tiwari,
Chi‐Chuan Lee and
Matthew Ntow‐Gyamfi
International Review of Finance, 2023, vol. 23, issue 1, 187-205
Abstract:
This research explores the distributional and directional predictabilities among Fintech, Bitcoin, and artificial intelligence stocks from March 2018 to January 2021 using nonparametric causality‐in‐quantile and crossquantilogram approaches. We also examine connectedness across the assets using a quantile VAR approach. The results indicate the existence of bidirectional causality‐in‐variance between the variables in a normal market. We also find that directional predictability among the assets is oscillatory over time lags. Finally, we observe a strong price connectedness for highly positive and negative changes. These results further document the diversification potential and safe‐haven properties of technology‐related assets for portfolio investors.
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
https://doi.org/10.1111/irfi.12393
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:bla:irvfin:v:23:y:2023:i:1:p:187-205
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1369-412X
Access Statistics for this article
International Review of Finance is currently edited by Bruce D. Grundy, Naifu Chen, Ming Huang, Takao Kobayashi and Sheridan Titman
More articles in International Review of Finance from International Review of Finance Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().