Multiple-bubble testing in the cryptocurrency market: a case study of bitcoin

ArXiv ID: 2401.05417 “View on arXiv”

Authors: Unknown

Abstract

Economic periods and financial crises have highlighted the importance of evaluating financial markets to investors and researchers in recent decades.

Keywords: financial markets, economic periods, financial crises, market evaluation, General Financial Markets

Complexity vs Empirical Score

• Math Complexity: 6.0/10
• Empirical Rigor: 3.0/10
• Quadrant: Lab Rats
• Why: The paper applies advanced statistical methods like the Right-Tail Augmented Dickey–Fuller (RTADF) test, indicating significant mathematical modeling, but the excerpt shows no implementation details, backtesting results, or data processing steps, resulting in low empirical readiness.

  flowchart TD
    A["Research Question<br>Identify & test for multiple bubbles<br>in the cryptocurrency market"] --> B["Data Input<br>Historical Bitcoin Price Data<br>across different time periods"]
    B --> C["Methodology<br>Advanced Bubble Testing<br>e.g., GSADF or SADF"]
    C --> D["Computational Process<br>Calculate Test Statistics<br>Identify Bubble Regimes"]
    D --> E["Key Findings<br>Detect multiple bubble periods<br>Assess crash risks<br>Market implications"]