Related Experiment Video
Updated: Aug 6, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
Microprudential bank capital regulation in a complex system.
1Binghamton University School of Management, USA.
Heliyon
|March 16, 2023
Summary
Microprudential capital requirements, designed to prevent bank failures, may paradoxically increase systemic risk. These bank-level rules can lead to larger failure cascades, especially during economic downturns.
Area of Science:
- Financial economics
- Systemic risk analysis
- Banking regulation
Background:
- Interconnectedness of modern banking systems poses systemic risks.
- Microprudential regulations focus on individual bank health.
- Effectiveness of microprudential capital requirements in preventing cascading failures is debated.
Purpose of the Study:
- To analyze the efficacy of microprudential capital requirements in mitigating bank failure cascades.
- To investigate how these requirements affect the distribution of risk in interconnected banking networks.
- To assess the impact of economic downturn conditions on the effectiveness of these regulations.
Main Methods:
- Agent-based modeling and simulation exercises.
- Network analysis of interconnected banks.
- Varying simulation parameters to mimic economic downturns and different bank responses.
Main Results:
- Microprudential capital requirements redistribute distressed assets, reducing individual failure likelihood.
- These requirements increase the probability of large-scale failure cascades within the banking network.
- The exacerbating effect on cascades is most pronounced under simulated economic downturn conditions.
- Increased bank leverage in response to weaker capital requirements minimally impacts failure cascade size.
Conclusions:
- Current microprudential capital requirements may be counterproductive to mitigating systemic banking crises.
- The redistribution of risk, while aiding individual banks, can amplify systemic vulnerability.
- Policy implications suggest a need to reconsider the design and scope of bank-level capital regulations to address network effects.
Related Concept Videos
Global Regulatory Systems
47
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
47
Mechanistic Models: Overview of Compartment Models
131
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
131
Actuarial Approach
103
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
103
Mechanistic Models: Compartment Models in Individual and Population Analysis
70
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
70
Multicompartment Models: Overview
203
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
203
Drug Control Governance: Regulatory Bodies and Their Impact
200
Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
200

