Financial technology (FinTech) is a field that uses artificial intelligence to automate financial
services. One area of FinTech is stock analysis, which aims to predict future stock prices to …

This study examines the impact of macroeconomic indicators on the liquidity of the Indian
stock market by using the Granger Causality, Vector Auto-Regressive Model, and Impulse …

This study examines causality relation between the quality of national institutional
frameworks designed to ensure higher energy efficiency and the distance to the …

Simultaneous inference for high-dimensional non-Gaussian time series is always
considered to be a challenging problem. Such tasks require not only robust estimation of the …

This research employs a vector autoregression (VAR) analysis to explore the volatility and
dynamic interactions between stock, commodity, and cryptocurrency markets. It focuses on …

This article studies the economic impact of China and the US from 2011 to 2023 through
stock market linkages. A bivariate VAR model is used for nonlinear Granger causality …

Non-fungible tokens are known as unique digital assets that are stored in the blockchain.
Their non-fungibility makes them different from other crypto assets. Therefore, their pricing is …

This study examined the effects of climate change on wheat production in Pakistan,
documenting yearly changes in the atmosphere such as floods, rainfall, and increasing …

Market liquidity is the security marketability (Amihud & Mendelson, 1986) and is an essential
component of equity markets. It generally refers to the ease with which a security can be …

Theoretical background: Capital investments involve taking risks to achieve a favourable
rate of return. Investors are offered various options, including stocks, bonds, and …