Finance research letters · 2020 · 30 citations · 14 references
BusinessEconomicsFinanceFinancial EconomicsFinancial MarketsQuantitative FinanceAlgorithmic TradingAlgorithmic Trading AnalyticsCapital MarketsPrivacy PolicyTrading StrategiesHistorical Price Data AnalysisMoving Average ModelsMoving Average ProcessesPrivacyPrivacy Tradeoffs
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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Andrew Urquhart · Economics Letters · 2016 · 1.2K citations
The inefficiency of Bitcoin revisited: A dynamic approach
Aurelio F. Bariviera · Economics Letters · 2017 · 603 citations · Full text
Conditional tail-risk in cryptocurrency markets
Nicola Borri · Journal of Empirical Finance · 2018 · 369 citations