An analytic environment for systemic risk - Risk modeling support for financial policy makers

Abstract

Systemic risk in the U.S. financial system has drawn the attention of leaders in government and business alike. The abundance of systemic risk measures and risk models has added to the complex task of understanding, discussing, and acting on the implications of that risk. Tools that assist decisionmakers to interpret risk measures, and recognize their underlying assumptions may lead to deeper understanding and more effective discussion. This paper describes some initial considerations for building an integrated modeling and analysis environment to aid in assessing complex financial data. The modeling environment is engineered to support execution of quantitative models including agent based and network models against equivalent scenarios of economic conditions. The environment provides tools to compare and visualize model outputs, and to allow decision makers to maintain traceability from model outputs back to their underlying assumptions. This capability may facilitate the operation of a modeling forum where disparate teams of analysts can collaborate to provide insights into the nations exposure to systemic financial risk.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 2011
Accession Number
AD1108474

Entities

People

  • Charles A. Worrell

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Algorithms
  • Aviation Safety
  • Commerce
  • Computer Simulations
  • Data Acquisition
  • Data Analysis
  • Data Integration
  • Data Management
  • Data Set
  • Delphi Method
  • Digital Data
  • Economics
  • Electronic Mail
  • Environment
  • Finance
  • Geography
  • Governments
  • Models
  • Money
  • Probability
  • Symposia
  • Systems Engineering
  • Visualizations

Readers

  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation
  • Systems Analysis and Design