It is important to determine the network effects and store-of-value feature of cryptocurrencies
due to the argument that it could be considered as a new 'asset class'. Current studies on …

Forecasting cryptocurrency volatility can help investors make better-informed investment
decisions in order to minimize risks and maximize potential profits. Accurate forecasting of …

Commodity markets, such as crude oil and precious metals, play a strategic role in the
economic development of nations, with crude oil prices influencing geopolitical relations and …

Granular Computing has been successfully applied in many fields to assist modeling while
uncertainty exists due to its intrinsic flexibility and comprehensive evaluation on different …

The emergence of cryptocurrencies has generated enthusiasm and concern in the modern
global economy. However, their high volatility, erratic price fluctuations, and tendency to …

The non-linear and non-stationary nature of financial time series data poses significant
challenges for standalone statistical and neural network methods. While predictive modeling …

Volatility is a key indicator of market risk in financial markets. This paper proposes a novel
hybrid model that combines Long Short-Term Memory (LSTM) with multiple generalized …

Producing precise soil moisture maps through soil moisture modeling is highly valued for a
variety of purposes, such as agricultural productivity, water resource management, climate …

Currently, accidents in civil engineering buildings occur frequently, resulting in significant
economic damage and a large number of casualties. Therefore, it is particularly important to …

Purpose The goal of the study is to offer important insights into the dynamics of the
cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic …