Related Experiment Video
Updated: Jul 26, 2025

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
Quantile VAR network evidence for spillover effects and connectivity between China's stock markets, green
Jiahui Li1, Haoshen Liang2, Likun Ni3
1China Minsheng Banking Corp., Ltd, Beijing, China.
Abstract:
Numerous economic and financial crises, particularly the present crisis in the healthcare sector, have pushed major shock spillover channels over stock marketplaces. This research studied how the shock spillover system is affected by three significant factors: Bitcoins, unpredictability, and the China stock market between 2014 and 2021. While much earlier empirical research has looked at risk dispersion in different financial markets, this article will zero in on green markets. This investigation seeks to accomplish something that has never been done before: determine whether or not green commodities, Bitcoin, and uncertainty impact the performance of the China stock market. The following are significant results based on a quantile vector autoregressive (VAR) connection. (i) A static spillover system indicates that information was widely shared across markets during intense market circumstances. (ii) The global green economy and clean energy marketplaces are the primary sources of knowledge spillover in adverse market conditions. This research elucidates the asymmetrical influence of green products, Bitcoin, and market volatility in China. This is vital due to the dynamic nature of international and regional connections. Recent studies have shown that shock spillovers are excellent for cryptocurrencies such as Bitcoin (BTC), uncertainty indices, and global carbon indexes, but bad for most eco-friendly products.
More Related Videos
Related Concept Videos
Outliers and Influential Points
Relationship Formation
Social Exchange Theory
Quartile
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Distribution and Dispersion

