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Tech titans and crypto giants: Mutual returns predictability and trading strategy implications

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  • Bouri, Elie
  • Sokhanvar, Amin
  • Kinateder, Harald
  • Çiftçioğlu, Serhan

Abstract

This study examines the directional return predictability between the technology sector of U.S. stock market and three major cryptocurrencies (Bitcoin, Ethereum, and Dogecoin). Using daily data from August 7, 2015, to February 8, 2024, and the cross-quantilogram approach in both static and dynamic settings, the results reveal significant positive predictability in the stock market–cryptocurrency nexus. The technology sector, semiconductors subsector, and Nvidia Corporation exert predictive power over cryptocurrency returns and vice versa across several quantiles and lags. When controlling for the impact of other financial variables, namely, U.S. dollar and U.S. treasury markets, the return predictability holds, especially for the two largest cryptocurrencies, Bitcoin and Ethereum, which reflects their importance and tighter connections with the U.S. technology sector. A trading strategy based on the results of the cross-quantilograms outperforms a benchmark strategy (i.e., always long position in either stocks or cryptocurrency), which underlines the practical implications of our main findings, particularly in terms of the significant return interactions between U.S. technology/semiconductors stocks and large cryptocurrencies.

Suggested Citation

  • Bouri, Elie & Sokhanvar, Amin & Kinateder, Harald & Çiftçioğlu, Serhan, 2025. "Tech titans and crypto giants: Mutual returns predictability and trading strategy implications," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:intfin:v:99:y:2025:i:c:s1042443124001756
    DOI: 10.1016/j.intfin.2024.102109
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    Keywords

    Bitcoin; Ethereum; Dogecoin; Nvidia; U.S. technology and semiconductor stocks; S&P500 index; Cross-quantilogram and return predictability across quantiles;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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