Profitability of technical trading rules among cryptocurrencies with privacy function
Ahmed, Shaker; Grobys, Klaus; Sapkota, Niranjan (2020-03-18)
Ahmed, Shaker
Grobys, Klaus
Sapkota, Niranjan
Elsevier
18.03.2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2020061142825
https://urn.fi/URN:NBN:fi-fe2020061142825
Kuvaus
vertaisarvioitu
©2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).Please cite this article as: Shaker Ahmed, Klaus Grobys and Niranjan Sapkota, Finance Research Letters, https://doi.org/10.1016/j.frl.2020.101495
©2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).Please cite this article as: Shaker Ahmed, Klaus Grobys and Niranjan Sapkota, Finance Research Letters, https://doi.org/10.1016/j.frl.2020.101495
Tiivistelmä
This paper studies simple moving average trading strategies employing daily price data on the ten most-traded cryptocurrencies that exhibit the ‘privacy function’. Investigating the 2016–2018 period, our results indicate a variable moving average strategy is successful only when applied to Dash generating returns of 14.6%−18.25% p.a. in excess of the simple buy-and-hold benchmark strategy. However, when applying our technical trading rules to the entire set of ten privacy coins shows that, on an aggregate level, simple technical trading rules do not generate positive returns in excess of a buy-and-hold strategy.
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