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

• Reveals significant positive predictability in the stock market–cryptocurrency nexus. • U.S. tech and semiconductor stocks and Nvidia predict cryptocurrency returns and vice versa. • Mutual returns predictability is significant across several quantiles and lags. • It generally holds when controlling for the U.S. dollar index and treasury market. • A trading strategy based on the cross-quantilogram outperforms a benchmark strategy. 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.

Authors

Institutions

Publication Details

Journal
Journal of International Financial Markets Institutions and Money
Published
2024-12-30
DOI
https://doi.org/10.1016/j.intfin.2024.102109
Citations
5
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
5.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Serhan Çiftçioğlu, Harald Kinateder, Amin Sokhanvar, Elie Bouri
5 citations
Journal of International Financial Markets Institutions and Money
Market Dynamics and Volatility
5.65
article

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

Serhan Çiftçioğlu, Harald Kinateder, Amin Sokhanvar, Elie Bouri
article en
5 citations

Abstract

• Reveals significant positive predictability in the stock market–cryptocurrency nexus. • U.S. tech and semiconductor stocks and Nvidia predict cryptocurrency returns and vice versa. • Mutual returns predictability is significant across several quantiles and lags. • It generally holds when controlling for the U.S. dollar index and treasury market. • A trading strategy based on the cross-quantilogram outperforms a benchmark strategy. 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.

Journal of International Financial Markets Institutions and MoneyVol. 99
University of Passau (DE), Korea University (KR), Eastern Mediterranean University (CY), Lebanese American University (LB)
Openalex Percentile: Top 4%
Market Dynamics and Volatility
5.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.