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Related Concept Videos

Relative Risk01:12

Relative Risk

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...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Region of Convergence of Laplace Tarnsform01:20

Region of Convergence of Laplace Tarnsform

The Region of Convergence (ROC) is a fundamental concept in signal processing and system analysis, particularly associated with the Laplace transform. The ROC represents an area in the complex plane where the Laplace transform of a given signal converges, determining the transform's applicability and utility.
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Propagation of Uncertainty from Systematic Error01:10

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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 particular...
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Related Experiment Video

Updated: May 23, 2026

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

Risk-return relationship in a complex adaptive system.

Kunyu Song1, Kenan An, Guang Yang

  • 1Department of Physics, State Key Laboratory of Surface Physics, and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai, China.

Plos One
|April 6, 2012
PubMed
Summary
This summary is machine-generated.

In complex adaptive systems, investments with negative risk-return relationships (high risk, low return) outperform those with positive relationships (high risk, high return). This finding challenges traditional finance beliefs about investment strategies.

Related Experiment Videos

Last Updated: May 23, 2026

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

Area of Science:

  • Complex Adaptive Systems
  • Behavioral Economics
  • Computational Social Science

Background:

  • Autonomous agents in human society compete/collaborate for resources.
  • Investment strategies often follow a positive risk-return belief (high risk, high return).
  • This belief influences investor behavior in financial markets.

Purpose of the Study:

  • Investigate the risk-return relationship in a model complex adaptive system.
  • Analyze the impact of market efficiency and social closeness on investment dynamics.
  • Challenge conventional finance theories regarding risk and return.

Main Methods:

  • Computer-aided human experiments.
  • Agent-based simulations.
  • Theoretical analysis to validate experimental findings.

Main Results:

  • Investments with a negative risk-return relationship demonstrated dominance.
  • Positive risk-return investments were outperformed in the studied system.
  • Identified distinct roles of identical versus heterogeneous preferences in system evolution.

Conclusions:

  • The study reveals a counterintuitive dominance of negative risk-return investments in complex adaptive systems.
  • Findings challenge traditional finance theories and offer insights into agent behavior.
  • The research provides a dynamical framework for understanding system evolution based on preferences.