Owing to the adverse impact of the COVID‐19 pandemic on world economies, it is expected
that information flows between commodities and uncertainties have been transformed …

The information flow between BRIC and relevant volatilities constitutes a complex network,
which needs comprehensive analysis. We provide a rigorous investigation of information …

The degree to which corporations benefit from social welfare has induced increasing
attention, enjoining corporations to act in a socially responsible manner. The sustainability …

Purpose This study investigates information flow of market constituents and global indices at
multi-frequencies. Design/methodology/approach The study's findings were obtained using …

Due to the advent of deglobalization and regional integration, this article aims to adopt
LASSO‐based network connectedness to estimate the multiscale tail risk spillover effects of …

Stock price accelerates interest and preference of the young generation to explore the stock
market with elicit interest. An autopilot system is needed where users choose beneficial …

This study aims to investigate the causal relationship between Gross Domestic Product and
greenhouse gas emissions in Türkiye from 1951 to 2018, using the Causal Decomposition …

A lucid representation of the hidden structure of real-world application has attracted complex
network research communities and triggered a vast number of solutions in order to resolve …

Modeling financial data often relies on assumptions that may prove insufficient or unrealistic
in practice. The Geometric Brownian Motion (GBM) model is frequently employed to …

Owing to the adverse impact of the COVID-19 pandemic on world economies, it is expected
that information flows between commodities and uncertainties have been transformed …