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MeanyDeanyQuantitative Research Systems

Seminar paper · Crypto-asset diagnostics

Bitcoin Bubble Detection with GSADF

A time-series study applying right-tailed explosive-root testing to identify and interpret periods of statistically explosive Bitcoin price behavior.

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Asset
Bitcoin
Method
GSADF
Question
Explosive price dynamics
Context
Academic diagnostic

Research framing

A diagnostic question, not a market recommendation

The paper examines whether recursive right-tailed unit-root tests can identify periods when Bitcoin prices exhibit explosive behavior. The statistical result describes the series within the sample; it does not recommend buying, selling, timing, or execution.

Earlier time-series research
BitcoinGSADFExplosive rootsBubble datingTime series

Method

Recursive testing with bounded interpretation

  1. 01

    Frame the series

    Define the Bitcoin price sample and the time-series question before interpreting explosive episodes.

  2. 02

    Apply right-tailed tests

    Use recursive explosive-root statistics to evaluate departures from unit-root behavior across varying windows.

  3. 03

    Date episodes

    Compare test statistics with critical values to identify periods of statistically explosive behavior.

  4. 04

    Constrain interpretation

    Treat detections as sample-bound diagnostics rather than trading signals or proof of fundamental mispricing.

Research record

What the paper establishes

Test family
Right-tailed explosive-root tests
Recursive design
Varying windows across the sample
Output
Statistically explosive episodes
Boundary
No trading or investment guidance

Lessons

The test is only as strong as its framing

Sample boundaries matter
Episode dating depends on the selected series, frequency, and sample window.
Diagnostics are not decisions
Explosive-root evidence can characterize price dynamics without becoming a buy or sell rule.
Interpretation needs context
A statistical bubble label does not by itself explain the economic mechanism behind an episode.

Research boundary

Academic interpretation only

This seminar paper is academic research. It does not provide trading signals, recommend buying or selling Bitcoin, or offer investment advice.