[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

The connectedness in the world petroleum futures markets using a Quantile VAR approach

SK Jena, AK Tiwari, EJA Abakah… - Journal of Commodity …, 2022 - Elsevier
This paper investigates how the six major petroleum futures Oman crude, NYMEX RBOB
gasoline, ICE low sulphur gasoil, ICE Brent crude, NYMEX light sweet crude and NYMEX …

Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies

TLD Huynh, E Hille, MA Nasir - Technological Forecasting and Social …, 2020 - Elsevier
In the context of the 4th industrial revolution, artificial intelligence (AI) and environmental
challenges, this study investigates the role of AI, robotics stocks and green bonds in portfolio …

Asymmetric spillover and network connectedness between gold, BRENT oil and EU subsector markets

W Mensi, I Yousaf, XV Vo, SH Kang - Journal of International Financial …, 2022 - Elsevier
This study examines the dynamic asymmetric return spillovers between gold and oil
commodity futures and 22 European equity sectors using the Diebold and Yilmaz (2012) …

[PDF][PDF] Pass-through Effects of Oil Prices on LATAM Emerging Stocks before and during COVID-19: An Evidence from a Wavelet-VAR Analysis

JCT Gaytan, A Rafiuddin, GS Sisodia, G Ahmed… - International Journal of …, 2023 - zbw.eu
Vector Auto regression model (VAR) a time-varying parameter is applied to study the effect
of oil price shocks on the returns of stocks in the LATAM (Latin American) markets. Coherent …

Dynamic co-movement between oil and stock markets in oil-importing and oil-exporting countries: Two types of wavelet analysis

Z Jiang, SM Yoon - Energy Economics, 2020 - Elsevier
This study explores the dynamic co-movement between oil and six stock markets (China,
India, Japan, Saudi Arabia, Russia, and Canada) by using two types of wavelet analysis …

Oil price shocks and exchange rate dynamics: Evidence from decomposed and partial connectedness measures for oil importing and exporting economies

I Chatziantoniou, AH Elsayed, D Gabauer, G Gozgor - Energy Economics, 2023 - Elsevier
This paper introduces a novel framework of partial connectedness measures to investigate
contagion dynamics between different types of oil price shocks and exchange rates. Oil price …

Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method

W Mensi, S Hammoudeh, SJH Shahzad… - Journal of Banking & …, 2017 - Elsevier
This study combines the variational mode decomposition (VMD) method and static and time-
varying symmetric and asymmetric copula functions to examine the dependence structure …

Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS

Q Ji, BY Liu, WL Zhao, Y Fan - International Review of Financial Analysis, 2020 - Elsevier
This paper investigates the dynamic dependence and risk spillover between BRICS stock
returns and different types of oil shocks, combining the Structural VAR model and time …

Uncertainty and crude oil returns

R Aloui, R Gupta, SM Miller - Energy Economics, 2016 - Elsevier
We use a copula approach to investigate the effect of uncertainty on crude-oil returns. Using
copulas to construct multivariate distributions of time-series data permit the calculation of the …