Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

125
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
125
Econometric Views (EViews)01:29

Econometric Views (EViews)

111
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
111
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

633
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
633
Relative Risk01:12

Relative Risk

116
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
116
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

459
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
459
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

5.1K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
5.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Small interfering RNA-mediated silencing of mutant NPM1 suppresses acute myeloid leukemia via reversing KAT7 and p300-mediated histone acetylation.

Leukemia·2026
Same author

Glycine Receptor α2 Mediates Vasodilation via Endothelial eNOS Signaling.

Circulation research·2026
Same author

Micro-Stepwise (100) Crystal Face Coupling Molecular-Layer Engineering Promises High-Performance Zn-Iodine Batteries in Wide pH and Seawater Electrolytes.

Angewandte Chemie (International ed. in English)·2026
Same author

Oxidative trifunctionalization of indoles with 2-aminobenzyl alcohols: access to iodo-indoloquinoline scaffolds.

Organic & biomolecular chemistry·2026
Same author

Experimental Study of YaJieShaBa Antialcoholic Hepatic Fibrosis Through TGF-β1/Smad Signaling Pathway.

Mediators of inflammation·2026
Same author

School-Stage Differences in the Mindset-Resilience-Burnout Network: A Bayesian Network Analysis.

Journal of adolescence·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 31, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

17.8K

Measuring the Risk Spillover Effect of RCEP Stock Markets: Evidence from the TVP-VAR Model and Transfer Entropy.

Yijiang Zou1, Qinghua Chen2, Jihui Han3

  • 1School of Economics, Anyang Normal University, Anyang 455008, China.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
Summary
This summary is machine-generated.

The Regional Comprehensive Economic Partnership (RCEP) agreement has increased stock market interconnectedness among member nations. China is a net risk receiver, vulnerable to shocks from developed RCEP markets like Japan and South Korea.

Keywords:
RCEP stock marketsTVP-VAR modelrisk spillover effecttransfer entropy

More Related Videos

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.0K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K

Related Experiment Videos

Last Updated: May 31, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

17.8K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.0K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.8K

Area of Science:

  • * Financial Economics
  • * International Trade
  • * Econometrics

Background:

  • * The Regional Comprehensive Economic Partnership (RCEP) aims to foster economic integration among member states.
  • * Understanding interdependencies and volatility spillovers in stock markets is crucial for financial stability.
  • * Previous research has not fully captured the dynamic nature of these spillovers within the RCEP framework.

Purpose of the Study:

  • * To quantify the time-varying volatility spillover effects between RCEP member stock markets.
  • * To assess the impact of the RCEP agreement on stock market interconnectedness.
  • * To identify key risk transmitters and receivers within the RCEP stock market network.

Main Methods:

  • * Utilized daily stock market trading data for RCEP member countries (December 3, 2007 – December 9, 2024).
  • * Employed the Time-Varying Parameter Vector Autoregression (TVP-VAR) model.
  • * Applied transfer entropy to measure dynamic volatility spillovers.

Main Results:

  • * The RCEP agreement has significantly strengthened stock market interconnectedness among member countries.
  • * Overall volatility spillover effects show an upward trend, intensifying during financial turbulence.
  • * China emerges as a net risk receiver, while Japan and South Korea are net risk contributors.
  • * Significant shifts in bidirectional risk spillovers between China and other RCEP markets correlate with RCEP's signing and implementation.

Conclusions:

  • * RCEP's implementation has led to increased systemic risk and interconnectedness in regional stock markets.
  • * China's stock market exhibits fragility, being susceptible to external shocks from developed RCEP economies.
  • * Policymakers should consider these dynamic risk spillover effects for regional financial stability.