Related Experiment Video
Updated: Jun 26, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Qualitative robustness of utility-based risk measures
Pablo Koch-Medina1, Cosimo Munari1
1Center for Finance and Insurance and Swiss Finance Institute, University of Zurich, Zurich, Switzerland.
This study computes the index of qualitative robustness for utility function-based risk measures. It addresses the natural domain of finiteness and continuity for these statistical robustness measures.
Area of Science:
- Quantitative Finance
- Mathematical Economics
Background:
- Risk measures are crucial in financial decision-making.
- Assessing the statistical robustness of risk measures is an active research area.
- Utility functions provide a framework for modeling risk preferences.
Purpose of the Study:
- To compute the index of qualitative robustness for risk measures derived from utility functions.
- To investigate the relationship between statistical robustness and the domain properties of risk measures.
Main Methods:
- Calculation of the index of qualitative robustness.
- Analysis of the natural domain of finiteness for risk measures.
- Investigation of continuity properties of risk measures.
Main Results:
- The index of qualitative robustness was successfully computed for utility-based risk measures.
- The study identified key properties of the natural domain related to robustness.
- Connections between domain characteristics and measure continuity were established.
Conclusions:
- The findings contribute to understanding the statistical robustness of financial risk measures.
- This research clarifies the interplay between utility functions, domain properties, and robustness.
- The results have implications for the theoretical development and practical application of risk measures.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Relative Risk
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis

