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

Wei, M., Kyriakou, I., Sermpinis, G. and Stasinakis, C. (2023) Cryptocurrencies and Lucky Factors: the value of technical and fundamental analysis. International Journal of Finance and Economics, (doi: 10.1002/ijfe.2863) (Early Online Publication)

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.

• Item Type: Articles
• Status: Early Online Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: WEI, MINGZHE and Stasinakis, Professor Charalampos and Sermpinis, Professor Georgios
• Authors: Wei, M., Kyriakou, I., Sermpinis, G., and Stasinakis, C.
• College/School: College of Social Sciences > Adam Smith Business School > Accounting and Finance
• Journal Name: International Journal of Finance and Economics
• Publisher: Wiley
• ISSN: 1076-9307
• ISSN (Online): 1099-1158
• Published Online: 25 July 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in International Journal of Finance and Economics 2023
• Publisher Policy: Reproduced under a Creative Commons License