Cryptocurrencies and Lucky Factors: The value of technical and fundamental analysis

【Author】 Wei, Mingzhe; Kyriakou, Ioannis; Sermpinis, Georgios; Stasinakis, Charalampos

【Source】INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS

【影响因子】1.634

【Abstract】This study explores the effectiveness of technical and fundamental analysis in predicting and trading the returns of 12 cryptocurrencies, namely Bitcoin, Ethereum, Ripple, Dash, Cardano, Avalanche, Binance Coin, Dogecoin, Polkadot, Litecoin, Terra and Solana. A universe of 7846 technical rules, five log moving average-based ratios and 59 fundamental factors are used to test predictability and profitability through the Lucky Factors methodology and Superior Predictive Ability test. We observe predictability for a small set of technical and fundamental rules, while only the short-term log moving average-based ratio and Hashrate Index demonstrate genuine in-sample and out-of-sample profitability. Our findings question the value of both technical and fundamental analysis on cryptocurrencies.

【Keywords】cryptocurrencies; fundamental analysis; multiple hypothesis testing; technical analysis

【发表时间】2023 2023 JUL 25

【收录时间】2023-08-09

【文献类型】实证数据

【主题类别】

区块链治理-市场治理-市场分析