Economic policy uncertainty and cryptocurrency market as a risk management avenue: A systematic review
IU Haq, A Maneengam, S Chupradit, W Suksatan… - Risks, 2021 - mdpi.com
Cryptocurrency literature is increasing rapidly nowadays. Particularly, the role of the
cryptocurrency market as a risk management avenue has got the attention of researchers …
cryptocurrency market as a risk management avenue has got the attention of researchers …
[HTML][HTML] Hybrid deep learning and GARCH-family models for forecasting volatility of cryptocurrencies
B Amirshahi, S Lahmiri - Machine Learning with Applications, 2023 - Elsevier
Abstract The combination of Deep Learning and GARCH-type models has been proved to
be superior to the single models in forecasting of volatility in various markets such as …
be superior to the single models in forecasting of volatility in various markets such as …
What is the best RNN-cell structure to forecast each time series behavior?
It is unquestionable that time series forecasting is of paramount importance in many fields.
The most used machine learning models to address time series forecasting tasks are …
The most used machine learning models to address time series forecasting tasks are …
Stacking hybrid GARCH models for forecasting Bitcoin volatility
S Aras - Expert Systems with Applications, 2021 - Elsevier
Abstract Machine learning techniques have been used frequently for volatility forecasting.
However, previous studies have built these hybrid models in a form of a first-order GARCH …
However, previous studies have built these hybrid models in a form of a first-order GARCH …
How well do investor sentiment and ensemble learning predict Bitcoin prices?
P Hajek, L Hikkerova, JM Sahut - Research in International Business and …, 2023 - Elsevier
Investor sentiment is widely recognized as the major determinant of cryptocurrency prices.
Although earlier research has revealed the influence of investor sentiment on cryptocurrency …
Although earlier research has revealed the influence of investor sentiment on cryptocurrency …
[HTML][HTML] Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
Forecasting cryptocurrency volatility can help investors make better-informed investment
decisions in order to minimize risks and maximize potential profits. Accurate forecasting of …
decisions in order to minimize risks and maximize potential profits. Accurate forecasting of …
The COVID-19 pandemic, economic policy uncertainty and the hedging role of cryptocurrencies: a global perspective
Purpose The COVID-19 pandemic has led to global economic policy uncertainty, which has
increased the need to investigate ways to mitigate the uncertainty. This study aims to …
increased the need to investigate ways to mitigate the uncertainty. This study aims to …
Алгоритм прогнозирования параметров системы переработки отходов апатит-нефелиновых руд
АЮ Пучков, ЕИ Лобанева, ОП Култыгин - Прикладная информатика, 2022 - elibrary.ru
В рамках концепции циркулярной экономики исследования в области создания
технологических систем вторичной переработки отходов горно-обогатительных …
технологических систем вторичной переработки отходов горно-обогатительных …
Exchange market liquidity prediction with the K-nearest neighbor approach: Crypto vs. fiat currencies
In this paper, we compare the predictions on the market liquidity in crypto and fiat currencies
between two traditional time series methods, the autoregressive moving average (ARMA) …
between two traditional time series methods, the autoregressive moving average (ARMA) …
[PDF][PDF] Performance analysis of bitcoin forecasting using deep learning techniques
The most popular cryptocurrency used worldwide is bitcoin. Many everyday folks and
investors are now investing in bitcoin. However, it becomes quite difficult to evaluate or …
investors are now investing in bitcoin. However, it becomes quite difficult to evaluate or …