Metaverse and financial markets: A quantile-time-frequency connectedness analysis

  • Ahmet Faruk Aysan
  • , Jonathan Batten
  • , Giray Gozgor
  • , Rabeh Khalfaoui
  • , Zhamal Nanaeva*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Amidst increasing interest from investors and scholars in the emerging Metaverse market, this paper marks a pioneering attempt to investigate the volatility connections between the Metaverse stock index and traditional financial markets such as Gold, Crude Oil, the Volatility Index, Bitcoin, and the Nasdaq. Utilizing a novel Quantile Vector Autoregressive (QVAR) model, the study assesses the transmission of shocks between the Metaverse market and its counterparts during bearish, normal, and bullish market conditions. The results highlight a significant increase in connectivity during extreme conditions compared to median levels. Notably, the Nasdaq emerges as a principal volatility transmitter to the Metaverse index, while Bitcoin shows minimal influence, suggesting that technological innovations, rather than cryptocurrencies, predominantly drive the Metaverse market. This investigation provides valuable insights for investors and policymakers, considering the nascent stage of Metaverse-related empirical research.

Original languageEnglish
Article number102527
JournalResearch in International Business and Finance
Volume72
DOIs
Publication statusPublished - 24 Aug 2024

Keywords

  • Connectedness
  • Financial markets
  • Metaverse
  • Quantile vector autoregressive
  • Volatility spillover

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