DOI QR코드

DOI QR Code

리스크를 고려한 블록체인 검증자 보상 포트폴리오 최적화

Optimization Blockchain Validator Reward Portfolio to Account for Risk

  • 김근호 (고려대학교 정보보호대학원) ;
  • 이중희 (고려대학교 정보보호대학원) ;
  • 최승호 (고려대학교 통계학과) ;
  • 김범중 (고려대학교 정보보호대학원) ;
  • 전기석 (고려대학교 정보보호대학원)
  • Geun Ho Kim ;
  • Jung Hee Lee ;
  • Seung Ho Choi ;
  • Bum Joong Kim ;
  • Ki Seok Jeon
  • 투고 : 2024.03.08
  • 심사 : 2024.08.13
  • 발행 : 2024.08.31

초록

This paper explores the viability of investment opportunities through earning rewards as validators in blockchain networks, moving beyond traditional approaches to cryptocurrency investment. Recently, there has been growing interest in participating as blockchain validators to receive stable rewards, rather than merely purchasing and holding cryptocurrencies. This shift reflects a perception among investors that participating in blockchain validation is a safer investment method. Despite this, most investment decisions still focus primarily on the volatility of cryptocurrency prices, with investment strategies considering validator reward rates being relatively underexplored. This study selects five major cryptocurrencies based on the Proof of Stake (PoS) mechanism (Ethereum, Cosmos, BNB, Polkadot, Polygon) and compares the validator reward rates from the fourth quarter of 2022 to the fourth quarter of 2023. The selected cryptocurrencies were chosen based on their market capitalization, validator reward rates, and the number of wallets staked, representing popular and trustworthy options. Through this analysis, the research applies Modern Portfolio Theory (MPT) by Harry Markowitz to propose a method of portfolio composition that maintains an optimal balance between risk and return. This is expected to contribute to investors making more stable and sustainable investment decisions based on the fundamental value and long-term growth potential of blockchain technology. Additionally, this study is anticipated to provide significant insights into academic discussions related to cryptocurrency investments, deepen understanding of the cryptocurrency market, and enhance the efficiency of investment strategies.

키워드

참고문헌

  1. Boiko, V., Y. Tymoshenko, A. Kononenko, Y. Rusina, and D. Goncharov, "The optimization of the cryptocurrency portfolio in view of the risks", Journal of Management Information and Decision Sciences, Vol. 24, No. 4, 2021, pp. 1-9.
  2. Buterin, V., "Proof of stake: How I learned to love weak subjectivity", Vitalik Buterin. Ethereum Blog, 2014.
  3. Cui, T., S. Ding, H. Jin, and Y, Zhang, "Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach", Economic Modelling, Vol. 119, 2023, Article 106078.
  4. Francis, J. C. and D. C. Kim, Modern portfolio theory: Foundations, analysis, and new developments", John Wiley & Sons, 2013, Chapter 2, pp. 13-28.
  5. Hrytsiuk, P.M. and T.Y. Babich, "Cryptocurrency portfolio risk management", 2019.
  6. King, S. and S. Nadal, "Ppcoin: Peer-to-peer crypto-currency with proof-of-stake", self-published paper, August 19.1, 2012.
  7. Markowitz, H., "Portfolio Selection", The Journal of Finance, Vol. 7, No. 1, 1952, pp. 77-91.
  8. Markowitz, H., Portfolio Selection: Efficient Diversification of Investments, Cowles Foundation for Research in Economics at Yale University, 1959.
  9. Nakamoto, S., "Bitcoin: A peer-to-peer electronic cash system", Decentralized Business Review, 2008.
  10. Yan, S., "Analysis on blockchain consensus mechanism based on Proof of Work and Proof of Stake", International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI), IEEE, 2022.
  11. Zolfani, S.H., H.M. Taheri, M. Gharehgozlou, and A. Farahani, "An asymmetric promethee II for cryptocurrency portfolio allocation based on return prediction", Applied Soft Computing, Vol. 131, 2022, Article 109829