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The cryptocurrency uncertainties and investment transitions: Evidence from high and low carbon energy funds in China
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 …
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
Abstract Non Fungible Tokens (NFT) and Decentralized Finance (DeFi) assets have seen a
growing media coverage and garnered considerable investor traction despite being …
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 …
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
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 …
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
Because there is a discrepancy between how individual investors and investment
institutions choose Bitcoin and its new derivatives and Exchange-Traded Funds (ETFs), this …
institutions choose Bitcoin and its new derivatives and Exchange-Traded Funds (ETFs), this …
Technical analysis in cryptocurrency markets: Do transaction costs and bubbles matter?
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 …
often high transaction costs and bubble periods on trade rule performance. We study the …
The 2021 bitcoin bubbles and crashes—detection and classification
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 …
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 …
combining the spillover index method introduced by Diebold and Yilmaz (2012) and the …
Cryptocurrency: Not far from equilibrium
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 …
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
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 …
asymmetric multifractal cross-correlation analysis to examine the weak form of the Efficient …