This study explores the effectiveness of technical and fundamental analysis in predicting and trading the returns of twelve cryptocurrencies, namely Bitcoin, Ethereum, Ripple, Dash, Cardano, Avalanche, Binance Coin, Dogecoin, Polkadot, Litecoin, Terra and Solana. A universe of 7,846 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 te...
More than 12 years have passed since the debut of Bitcoin, the first cryptocurrency, but there is st...
Purpose: This study aimed to analyze cryptocurrency fundamentals against price fluctuations (case st...
We analyse various technical trading rules in the form of the moving average-oscillator and trading...
This study explores the effectiveness of technical and fundamental analysis in predicting and tradin...
© 2019, The Author(s). This paper carries out a comprehensive examination of technical trading rules...
This thesis mainly emphasizes two prediction fields in the cryptocurrency market: factor analysis an...
The paper provides a comparative empirical study of predictability of cryptocurrency returns and pri...
The predictability of asset prices works against the notion of an efficient market where asset price...
This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin,...
This paper explores the predictive qualities of Bitcoin Miners Revenue on Bitcoin Returns. Using dat...
This paper studies simple moving average trading strategies employing daily price data on the eleven...
This study proposes a method to enhance cryptocurrency portfolios constructed by forecast models. Th...
This paper aims to gain and improve understanding of the three most common cryptocurrencies (Bitcoin...
This paper provides a systematic review of the empirical literature based on the major topics that h...
Purpose This study investigates the role of cryptocurrencies in enhancing the performance of portfol...
More than 12 years have passed since the debut of Bitcoin, the first cryptocurrency, but there is st...
Purpose: This study aimed to analyze cryptocurrency fundamentals against price fluctuations (case st...
We analyse various technical trading rules in the form of the moving average-oscillator and trading...
This study explores the effectiveness of technical and fundamental analysis in predicting and tradin...
© 2019, The Author(s). This paper carries out a comprehensive examination of technical trading rules...
This thesis mainly emphasizes two prediction fields in the cryptocurrency market: factor analysis an...
The paper provides a comparative empirical study of predictability of cryptocurrency returns and pri...
The predictability of asset prices works against the notion of an efficient market where asset price...
This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin,...
This paper explores the predictive qualities of Bitcoin Miners Revenue on Bitcoin Returns. Using dat...
This paper studies simple moving average trading strategies employing daily price data on the eleven...
This study proposes a method to enhance cryptocurrency portfolios constructed by forecast models. Th...
This paper aims to gain and improve understanding of the three most common cryptocurrencies (Bitcoin...
This paper provides a systematic review of the empirical literature based on the major topics that h...
Purpose This study investigates the role of cryptocurrencies in enhancing the performance of portfol...
More than 12 years have passed since the debut of Bitcoin, the first cryptocurrency, but there is st...
Purpose: This study aimed to analyze cryptocurrency fundamentals against price fluctuations (case st...
We analyse various technical trading rules in the form of the moving average-oscillator and trading...