Ahelegbey, Daniel Felix and Giudici, Paolo and Mojtahedi, Fatemeh (2022) Crypto Asset Portfolio Selection. FinTech, 1 (1). pp. 63-71. DOI https://doi.org/10.3390/fintech1010005
Ahelegbey, Daniel Felix and Giudici, Paolo and Mojtahedi, Fatemeh (2022) Crypto Asset Portfolio Selection. FinTech, 1 (1). pp. 63-71. DOI https://doi.org/10.3390/fintech1010005
Ahelegbey, Daniel Felix and Giudici, Paolo and Mojtahedi, Fatemeh (2022) Crypto Asset Portfolio Selection. FinTech, 1 (1). pp. 63-71. DOI https://doi.org/10.3390/fintech1010005
Abstract
The aim of this paper is to propose a portfolio selection methodology capable to take into account asset tail co-movements as additional constraints in Markowitz model. We apply the methodology to the observed time series of the 10 largest crypto assets, in terms of market capitalization, over the period 20 September 2017–31 December 2020 (1200 daily observations). The results indicate that the portfolios selected considering tail risk are more diversified and, therefore, more resilient to financial shocks.
Item Type: | Article |
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Divisions: | Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 03 Feb 2025 16:11 |
Last Modified: | 03 Feb 2025 16:12 |
URI: | http://repository.essex.ac.uk/id/eprint/36641 |
Available files
Filename: 2022_FinTech Crypto Asset Portfolio Selection.pdf
Licence: Creative Commons: Attribution 4.0