The article aims to verify whether cryptocurrencies can hedge extreme price movements in
Brent crude oil. The COVID-19 pandemic revealed that oil prices are heavily influenced by …

This study aims to investigate real effective exchange rates and real commodity prices
volatility transmission among Mexico, Indonesia and Turkey. According to the results, there …

Research background: Robo-advisory is a modern and rapidly developing area of
implement-ing artificial intelligence to support customer decision-making. The current …

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

In order to improve the accuracy of forecasting crude oil prices, a new crude oil price
forecasting method is introduced in the paper that is a combination of the FNN model and …

Under the idea of low carbon economy, natural gas has drawn widely attention all over the
world and becomes one of the fastest growing energies because of its clean, high calorific …

This paper uses two competing machine learning models, namely the Support Vector
Regression (SVR) and the eXtreme Gradient Boosting (XGBoost) against the Autoregressive …

Analysis of urban area function is crucial for urban development. Urban area function
features can help to conduct better urban planning and transportation planning. With …

One of the key contemporary economic and social issues today is the global energy
transition [1–3]. Energy transition processes are having a significant impact on the …

This paper uses vector autoregression and Bayesian vector autoregression techniques to
forecast the Indian Re/US dollar exchange rate. It extends the Dua and Ranjan (,) model by …