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A model of the optimal selection of crypto assets - simulation code

Cite this dataset

Bartolucci, Silvia; Kirilenko, Andrei (2020). A model of the optimal selection of crypto assets - simulation code [Dataset]. Dryad.


In the modelling we assume that crypto assets differ by two essential features: security (technological) and stability (governance). Investors make choices over crypto assets similarly to how they make choices by using a recommender app: the app presents each investor with a pair of crypto assets with certain security-stability characteristics to be compared. Each investor submits its preference for adopting one of the two assets to the app. The app, in turn, provides a recommendation on whether the proposed adoption is sensible given the assets’ essential features, information about the adoption choices of all other investors, and expected future economic benefits of adoption. Investors continue making their adoption choices over all pairs of crypto assets until their expected future economic benefits can no longer be improved upon. This constitutes an optimal selection decision. We simulate optimal selection decisions considering the behaviour of different types of investors, driven by their attitudes towards assets’ features. We find a variety of possible emergent outcomes for the investments in the crypto-ecosystem and the future adoption of the crypto assets.

Usage notes

This repository contains the Matlab code for the simulations of a process of crypto assets optimal selection.