Paper: SSRN 356220

Abstract

The main objective of this paper is to survey and evaluate the performance of the most popular univariate VaR methodologies, paying particular attention to thei

Complexity vs Empirical Score

  • Math Complexity: 6.5/10
  • Empirical Rigor: 8.0/10
  • Quadrant: Holy Grail — high math complexity, high empirical rigor

Why this score: The paper involves advanced econometrics (CAViaR, GARCH, EVT) and Monte Carlo simulations, indicating high math complexity; its extensive simulation study with specific data-generating processes and performance comparisons provides strong empirical rigor.

Research Flowchart

  flowchart TD
  A["Research Goal: Evaluate performance of popular univariate VaR models"] --> B["Data Input: Daily Financial Return Series"]
  B --> C["Methodology: VaR Model Application<br/>Parametric, Historical, Monte Carlo"]
  C --> D["Computational Process:<br/>Backtesting & Performance Metrics<br/>Kupiec Test, Traffic Lights, Loss Functions"]
  D --> E["Key Findings:<br/>Model Suitability & Accuracy Outcomes<br/>Performance Rankings"]