Crypto-assets portfolio selection and optimization: a COGARCH-Rvine approach

Jules Clement Mba, Sutene Mwambetania Mwambi

Research output: Contribution to journalArticlepeer-review

Abstract

Blockchain is a new technology slowly integrating our economy with crytocurrencies such as Bitcoin and many more applications. Bitcoin and other version of it (known as Altcoins) are traded everyday at various cryptocurrency exchanges and have drawn the interest of many investors. These new type of assets are characterised by wild swings in prices and this can lead to great profit as well as large losses. To respond to these dynamics, crypto investors need adequate tools to guide them through their choice of optimal portfolio selection. This paper presents a portfolio selection based on COGARCH and regular vine copula which are able to capture features such as abrupt jumps in prices, heavy-tailed distribution and dependence structure respectively, with the optimal portfolio achieved through the stochastic heuristic algorithm differential evolution known for its global search solution ability. This method shows great performance as compared with other available models and can achieve up to 50% of total returns in some periods of optimization.

Original languageEnglish
Pages (from-to)173-190
Number of pages18
JournalStudies in Nonlinear Dynamics and Econometrics
Volume26
Issue number2
DOIs
Publication statusPublished - 1 Apr 2022

Keywords

  • COGARCH
  • Levy process
  • differential evolution
  • portfolio optimization
  • regular vine copula

ASJC Scopus subject areas

  • Analysis
  • Social Sciences (miscellaneous)
  • Economics and Econometrics

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