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The Interaction of Major Crypto-assets, Clean Energy, and Technology Indices in Diversified Portfolios

Author

Listed:
  • Caner Ozdurak

    (Department of stanbul Financial Center, Presidency of the Republic of T rkiye Finance Office, Istanbul, Turkey)

  • Alican Umut

    (Department of Aviation Management, Ni anta University, Istanbul, Turkey)

  • Tugba Ozay

    (Head of Strategy and, Icrypex Crypto Exchange, Istanbul, Turkey)

Abstract

Cryptocurrencies have gained high interest from media, regulatory authorities, and both retailer and institutional investors especially in the COVID-19 pandemic followed by a tremendous academic interest. Classification of cryptos as an asset is one important issue while another crucial topic is the significantly high return and volatility fluctuations which does not make life easier for portfolio investors. High energy consumption to produce cryptos and carbon emission issues are also not developing the favor of cryptocurrencies. Moreover, in financial literature recent studies show that prices of renewable energy stocks have long-term cointegrating relationship with technology companies. In this context first we employ an asymmetric VAR-GARCH model to study spillover effects between major crypto-currencies, clean energy, and technology indices. Using daily data of the two major cryptocurrencies for the period of 1/1/2016 and 30/09/2021, we relate risk and return of different mean-variance portfolio strategies to Bitcoin (BTC), Etherium (ETH), S&P Global Clean Energy Index (SPGCE) and MSCI World Information Technology Index (MSCIWIT). Secondly, we apply the Markowitz mean-variance framework to assess risk-return benefits of cryptocurrency-portfolios. Our main goal is to offer optimal portfolio allocation approaches including cyptocurrencies with traditional financial assets. We will combine cryptocurrencies, clean energy, and technology indices to maximize return and Sharpe ratio. Furthermore, we will use our asymmetric VAR-GARCH models results to understand and cross check the Markowitz portfolio allocation results in details.

Suggested Citation

  • Caner Ozdurak & Alican Umut & Tugba Ozay, 2022. "The Interaction of Major Crypto-assets, Clean Energy, and Technology Indices in Diversified Portfolios," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 480-490, March.
    • Handle: RePEc:eco:journ2:2022-02-54
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    References listed on IDEAS

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    Cited by:

    1. Rui Manuel Dias & Mariana Chambino & Nuno Teixeira & Paulo Alexandre & Paula Heliodoro, 2023. "Balancing Portfolios with Metals: A Safe Haven for Green Energy Investors?," Energies, MDPI, vol. 16(20), pages 1-21, October.

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    More about this item

    Keywords

    Cryptocurrencies; Portfolio optimization; Markowitz; Spillover; VAR-VECH-TARCH;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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