[HTML][HTML] Hedging geopolitical risks with different asset classes: a focus on the Russian invasion of Ukraine

B Będowska-Sójka, E Demir, A Zaremba - Finance Research Letters, 2022 - Elsevier
We examine the hedging properties of different asset classes as impacted by the Russian
invasion of Ukraine in 2022. We employ wavelet coherence analysis to study the impact of …

Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition

C Deng, Y Huang, N Hasan, Y Bao - Information Sciences, 2022 - Elsevier
Accurate and reliable multi-step-ahead forecasting of stock price indexes over long-term
future trends is challenging for capital investors and decision-makers. This study developed …

[HTML][HTML] Can cryptocurrencies hedge oil price fluctuations? A pandemic perspective

B Będowska-Sójka, A Kliber - Energy Economics, 2022 - Elsevier
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 …

[HTML][HTML] Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions

K Echaust, M Just - Research in International Business and Finance, 2022 - Elsevier
This study examines the safe-haven property of gold during two deep financial crashes: the
global financial crisis (GFC) and the coronavirus disease 2019 (COVID-19) pandemic …

[HTML][HTML] Looking for a safe haven against American stocks during COVID-19 pandemic

A Kliber - The North American Journal of Economics and Finance, 2022 - Elsevier
This article aims to find the best safe-haven for stock investors in the American market since
the COVID-19 pandemic outbreak. The research period covers March 2020–May 2022 …

[HTML][HTML] Application of machine learning in algorithmic investment strategies on global stock markets

J Grudniewicz, R Ślepaczuk - Research in International Business and …, 2023 - Elsevier
The research undertakes the subject of machine learning based algorithmic investment
strategies. Several technical analysis indicators were employed as inputs to machine …

Method of location and capacity determination of intelligent charging pile based on recurrent neural network

S Su - World Electric Vehicle Journal, 2022 - mdpi.com
With the popularity of new energy vehicles, a large number of cities began to focus on the
installation of electric vehicle charging piles. However, the existing intelligent charging piles …

Global uncertainty and potential shelters: gold, bitcoin, and currencies as weak and strong safe havens for main world stock markets

E Feder-Sempach, P Szczepocki, J Bogołębska - Financial Innovation, 2024 - Springer
This article investigates five safe-haven asset responses from 2014 to 2022, including the
unprecedented COVID-19 crisis, Russian invasion of Ukraine, and sharp US interest rate …

Regime-Switching Fractionally Integrated Asymmetric Power Neural Network Modeling of Nonlinear Contagion for Chaotic Oil and Precious Metal Volatilities

M Bildirici, ÖÖ Ersin - Fractal and Fractional, 2022 - mdpi.com
This paper aims at analyzing nonlinear dependence between fractionally integrated, chaotic
precious metal and oil prices and volatilities. With this respect, the Markov regime-switching …

Forecasting volatility persistence: Evidence from international stock markets

ST Enow - Dinasti International Journal of Economics, Finance & …, 2023 - dinastipub.org
Volatility persistence represents a notable feature of financial markets and is a widely
studied phenomenon that explores the clustering and leverage effects of stock market …