The cryptocurrency uncertainties and investment transitions: Evidence from high and low carbon energy funds in China

L Yan, N Mirza, M Umar - Technological Forecasting and Social Change, 2022 - Elsevier
Due to the investment and diversification potential, cryptocurrencies are considered to be
attractive for both sophisticated and amateur investors. However, the high levels of electricity …

[HTML][HTML] Prediction and interpretation of daily NFT and DeFi prices dynamics: Inspection through ensemble machine learning & XAI

I Ghosh, E Alfaro-Cortés, M Gámez… - International Review of …, 2023 - Elsevier
Abstract Non Fungible Tokens (NFT) and Decentralized Finance (DeFi) assets have seen a
growing media coverage and garnered considerable investor traction despite being …

A sentiment-enhanced hybrid model for crude oil price forecasting

Y Fang, W Wang, P Wu, Y Zhao - Expert Systems with Applications, 2023 - Elsevier
The crude oil market plays a vital role in the world economy. However, due to the noisy
characteristics of the market and the complex and non-stationary nature of the asset series …

Intraday return predictability in the cryptocurrency markets: Momentum, reversal, or both

Z Wen, E Bouri, Y Xu, Y Zhao - The North American Journal of Economics …, 2022 - Elsevier
This paper reports evidence of intraday return predictability, consisting of both intraday
momentum and reversal, in the cryptocurrency market. Using high-frequency price data on …

Comparative analysis of profits from Bitcoin and its derivatives using artificial intelligence for hedge

Q Zhu, J Che, S Liu - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
Because there is a discrepancy between how individual investors and investment
institutions choose Bitcoin and its new derivatives and Exchange-Traded Funds (ETFs), this …

Technical analysis in cryptocurrency markets: Do transaction costs and bubbles matter?

D Svogun, W Bazán-Palomino - Journal of International Financial Markets …, 2022 - Elsevier
The study of technical analysis in cryptocurrencies has largely ignored the implications of
often high transaction costs and bubble periods on trade rule performance. We study the …

The 2021 bitcoin bubbles and crashes—detection and classification

M Shu, R Song, W Zhu - Stats, 2021 - mdpi.com
In this study, the Log-Periodic Power Law Singularity (LPPLS) model is adopted for real-time
identification and monitoring of Bitcoin bubbles and crashes using different time scale data …

Impacts of COVID‐19 on the Return and Volatility Nexus among Cryptocurrency Market

X Sui, G Shi, G Hou, S Huang, Y Li - Complexity, 2022 - Wiley Online Library
The impacts of COVID‐19 have spread rapidly to global financial markets. In this context,
combining the spillover index method introduced by Diebold and Yilmaz (2012) and the …

Cryptocurrency: Not far from equilibrium

E Yi, K Ahn, MY Choi - Technological Forecasting and Social Change, 2022 - Elsevier
The rapid growth and expanding applications of cryptocurrencies are the main factors that
have led them to be considered potential assets to investment portfolios. However, the fierce …

Examining the fractal market hypothesis considering daily and high frequency for cryptocurrency assets

W Kristjanpoller, LHS Fernandes, BM Tabak - Fractals, 2022 - World Scientific
Cryptocurrencies play a pivotal role in the financial market. Given this, we perform the
asymmetric multifractal cross-correlation analysis to examine the weak form of the Efficient …