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Assessing Portfolio Risks Involving Bitcoin and Ethereum Using Vector Autoregressive Model

Andrei Popescu ()

Ovidius University Annals, Economic Sciences Series, 2021, vol. XXI, issue 2, 1101-1109

Abstract: Investors now have a multitude of non-traditional assets to choose from, especially from the spectrum of alternative assets, such as financial digital assets. We start from the premise that there is a high risk associated with investing in financial digital assets, along with the opportunities presented from these emerging digital markets that evolve in a decentralized environment. We will be looking at the two major digital assets, specifically Bitcoin (BTC) and Ethereum (ETH), as per their dominance within the markets of crypto assets. This paper will focus on the evolution of financial digital assets and the impact on portfolio assessment that have allocations for BTC and ETH. In order to identify the value and potential of these financial digital assets, we will be addressing volatility and portfolio risks by means of a Vector Autoregression model on the returns of both, BTC and ETH.

Keywords: financial digital assets; volatility; portfolio risk (search for similar items in EconPapers)
JEL-codes: E02 F01 F33 F42 (search for similar items in EconPapers)
Date: 2021
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