A Model of the Optimal Selection of Crypto Assets

25 Pages Posted: 12 May 2020

See all articles by Silvia Bartolucci

Silvia Bartolucci

University College London - Department of Computer Science; Imperial College Business School; University College London - Centre for Blockchain Technologies

Andrei A. Kirilenko

University of Cambridge - Finance

Date Written: April 17, 2020

Abstract

We propose a modelling framework for the optimal selection of crypto assets. We assume that crypto assets can be described according to two features: security (technological) and stability (governance). We simulate optimal selection decisions of investors, being driven by (i) their attitudes towards assets’ features, (ii) information about the adoption trends, and (iii) expected future economic benefits of adoption. Under a variety of modelling scenarios – e.g. in terms of composition of the crypto assets landscape and investors’ preferences – we are able to predict the subset of the most widely adopted crypto assets and their features.

Keywords: blockchain, crypto assets, dynamics

JEL Classification: C02, C63, E42, E5

Suggested Citation

Bartolucci, Silvia and Kirilenko, Andrei A., A Model of the Optimal Selection of Crypto Assets (April 17, 2020). Available at SSRN: https://ssrn.com/abstract=3578450 or http://dx.doi.org/10.2139/ssrn.3578450

Silvia Bartolucci (Contact Author)

University College London - Department of Computer Science ( email )

66-72 Gower Street
London, WC1E 6EA
United Kingdom

Imperial College Business School ( email )

South Kensington Campus
Exhibition Road
London SW7 2AZ, SW7 2AZ
United Kingdom

University College London - Centre for Blockchain Technologies ( email )

UCL CBT UCL Computer Science
Malet Place London WC
London, London WC1E 6BT
United Kingdom

Andrei A. Kirilenko

University of Cambridge - Finance ( email )

Cambridge
United Kingdom

HOME PAGE: http://https://www.jbs.cam.ac.uk/faculty-research/faculty-a-z/andrei-kirilenko/

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