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Global macroeconomic factors and the connectedness among NFTs and (un)conventional assets

Author

Listed:
  • Urom, Christian
  • Ndubuisi, Gideon
  • Guesmi, Khaled

Abstract

This paper examines return and volatility connectedness among Non-Fungible Tokens (NFTs) and (un)conventional financial assets across various market conditions using a Quantile-VAR connectedness technique. It also explores the predictive powers of major global macroeconomic and geopolitical indicators on both connectedness across these market conditions. First, we find that return and volatility connectedness vary across market conditions, with higher levels during extreme events. Except during bullish periods, return connectedness dominates volatility connectedness. Second, NFTs are decoupled from both (un)conventional assets during normal market condition but it is a net return shocks receiver except under bullish market period, where it is a net transmitter. However, it is a net volatility shocks receiver irrespective of the market situation. Lastly, geopolitical risks, business condition and economic policy uncertainty are important predictors of return and volatility connectedness, although the strength and direction are heterogeneous. We discuss the policy implications of these findings.

Suggested Citation

  • Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2024. "Global macroeconomic factors and the connectedness among NFTs and (un)conventional assets," Research in International Business and Finance, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:riibaf:v:71:y:2024:i:c:s0275531924002228
    DOI: 10.1016/j.ribaf.2024.102429
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    Cited by:

    1. Oleksandr Kuznetsov & Emanuele Frontoni & Kateryna Kuznetsova & Ruslan Shevchuk & Mikolaj Karpinski, 2024. "NFT Technology for Enhanced Global Digital Registers: A Novel Approach to Tokenization," Future Internet, MDPI, vol. 16(7), pages 1-44, July.

    More about this item

    Keywords

    Non-fungible tokens; Green energy; Gray energy; Spillovers; Quantile connectedness;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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