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Related Concept Videos

Equity Theory01:26

Equity Theory

Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...
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The most commonly used measure of variation is the standard deviation. It is a numerical value measuring how far data values are from their mean. The standard deviation value is small when the data are concentrated close to the mean, exhibiting slight variation or spread. The standard deviation value is never negative, it is either positive or zero. The standard deviation is larger when the data values are more spread out from the mean, which means the data values are exhibiting more...
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An increasing function exhibits a rise in output values as input values increase. This behavior is depicted graphically as a curve or line that slopes upward from left to right. Such a function satisfies the condition that if x1 < x2, then f(x1) < f(x2), indicating that the function values grow with increasing inputs. This concept is fundamental in understanding growth trends across various domains, such as population dynamics, financial investments, or resource consumption.The average...
Pareto Chart00:52

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Related Experiment Video

Updated: Jun 5, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Persistent collective trend in stock markets.

Emeric Balogh1, Ingve Simonsen, Bálint Zs Nagy

  • 1Department of Theoretical Physics, Babeş-Bolyai University, Cluj-Napoca, Romania.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 15, 2011
PubMed
Summary

Stock prices move more cohesively when the market declines than when it rises. This study analyzed the Dow Jones Industrial Average, revealing a significant difference attributed to a constant fear factor among investors.

Related Experiment Videos

Last Updated: Jun 5, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Area of Science:

  • * Financial Markets Analysis
  • * Behavioral Finance
  • * Quantitative Finance

Background:

  • * Understanding stock market dynamics is crucial for investors and financial institutions.
  • * Previous research has explored market volatility but often overlooks the asymmetry in stock correlations during market upturns versus downturns.

Purpose of the Study:

  • * To empirically investigate and quantify the difference in stock price correlation during rising versus falling stock market periods.
  • * To determine if this difference is statistically significant and to explore potential underlying causes.

Main Methods:

  • * Analysis of historical stock data for the Dow Jones Industrial Average (DJIA) and its components from 1991 to 2008.
  • * Computation of Pearson-type correlations between individual stock prices.
  • * Averaging correlations over stock pairs and time to identify collective trends.

Main Results:

  • * A significant difference in collective stock price trends was observed between rising and falling market periods.
  • * Stock prices exhibit higher correlation during market declines compared to market ascents.
  • * Statistical analysis confirms the significance of this observed difference.

Conclusions:

  • * The study provides empirical evidence for asymmetric correlation behavior in stock markets.
  • * The findings suggest a persistent 'fear factor' influencing investor behavior and stock interdependencies.
  • * This phenomenon has implications for risk management and portfolio diversification strategies.