Cryptocurrency portfolios using heuristics

Platanakis, E. and Sutcliffe, C. ORCID: https://orcid.org/0000-0003-0187-487X (2023) Cryptocurrency portfolios using heuristics. In: Alphonse, P., Bouaiss, K., Grandin, P. and Zopounidis, C. (eds.) Essays in Financial Analytics. Lecture Notes in Operations Research. Springer, Cham, pp. 117-128. ISBN 9783031294877 doi: 10.1007/978-3-031-29050-3_7

Abstract/Summary

Given the support from academic studies for heuristic (naive) asset allocation strategies, this study compares the performance of seven heuristics, including four new heuristics, in forming a portfolio of six popular cryptocurrencies. As many cryptocurrency traders are retail investors, they are likely to use heuristics, rather than sophisticated optimization procedures. Our empirical analysis shows little difference in the out-of-sample performance of these seven strategies, indicating that it does not matter which heuristic is used by cryptocurrency investors. Therefore retail investors might as well use the simplest heuristic (1/N) strategy, whose performance has been widely studied and found to be comparable with that of portfolio optimization models.

Item Type	Book or Report Section
URI	https://reading-clone.eprints-hosting.org/id/eprint/108981
Item Type	Book or Report Section
Refereed	Yes
Divisions	Henley Business School > Finance and Accounting
Publisher	Springer
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