The rapid expansion of artificial intelligence (AI) technologies presents novel technical
solutions to traditional accounting and finance problems. Despite this, scholars in …

In recent years, investors, corporations, and enterprises have shown great interest in the
Bitcoin network; thus, promoting its products and services is crucial. This study utilizes an …

In this paper, stock price data has been predicted using several state-of-the-art
methodologies such as stochastic models, machine learning techniqus, and deep learning …

Predicting the price of Bitcoin poses a challenge for researchers, merchants, traders and
investors alike. This paper delves into the analysis of a Bitcoin price and volume dataset …

This paper studies the Bitcoin volatility forecasting performance between popular traditional
econometric models and machine learning techniques. We compare the 1-day to 2-month …

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

Green bonds are powerful tools for fighting against climate change and typically exhibit
more volatility than conventional bonds do. However, the volatility forecasting of green bond …

It is meaningful and of certain theoretical value for the development of economy through
analyzing fluctuation rules of international oil prices and forecasting the future trend of …

The present study employs daily data made available by the STR SHARE Center covering
the period from 1 January 2010 to 31 January 2020 for six Viennese hotel classes and their …

The response of the Bitcoin market to the novel coronavirus (COVID-19) pandemic is an
example of how a global public health crisis can cause drastic market adjustments or even a …