Title: Exploring the relationship between cryptocurrency and S&P500: evidence from wavelet coherence analysis
Authors: Anas Elmelki; Najeh Chaâbane; Riadh Benammar
Addresses: Higher Institute of Business Administration, University of Gafsa, Tunisia ' QUARG UR17ES26, ESCT, Campus University of Manouba, Tunisia; Higher Institute of Business Administration, University of Gafsa, Tunisia ' FSEGT, University of Tunis El Manar, Tunis, Tunisia
Abstract: The increasing interest in digital currencies, their exceptional price rise, and the continuous discussions about their benefits raise the question: to what extent can it be an alternative to the traditional currencies in the future? It has become a prominent topic of discussion among several investments and market stakeholders seeking to enhance the growth of their wealth. This paper aims to bring answers to the nature of relationships between four major cryptocurrencies (Bitcoin, Ethereum, Litecoin, and Ripple), and the stock market return (S&P500). This study applies the wavelet method to daily data from 1 June 2017 to 15 November 2021, in COVID-19 sanitary crisis time. According to the results, this study shows a positive co-movement in the medium and long run between the four studied cryptocurrencies and S&P500 during different periods, especially in times of uncertainty. These findings have practical implications as they can be used strategically to make optimal investment decisions and build portfolio diversification strategies with the conventional financial market asset.
Keywords: cryptocurrencies; stock market index; wavelet coherence.
International Journal of Blockchains and Cryptocurrencies, 2022 Vol.3 No.3, pp.256 - 268
Received: 13 Mar 2022
Accepted: 02 Jun 2022
Published online: 18 Oct 2022 *