Was the 2025 DAX Crash Endogenous? Evidence from the Log-Periodic Power Law Model

In this article, we investigate whether the crash of the German DAX index following the U.S. tariff announcement in April 2025 is consistent with pre-existing endogenous market fragility rather than a purely exogenous shock. The analysis is conducted within the Log-Periodic Power Law (LPPL) framework using the Filimonov–Sornette (FS) specification, complemented by shrinking-window estimation, Ornstein–Uhlenbeck residual diagnostics, surrogate time-series analysis, and a GARCH-based Monte Carlo false-positive assessment. The results reveal a statistically stable critical period preceding the observed market collapse, within which the tariff announcement occurred and was followed by a pronounced market decline. Overall, the findings suggest that the market operated in a regime of elevated systemic fragility, where the tariff announcement may have acted as a triggering event within an already critical state. This study contributes to the literature on financial critical phenomena by providing evidence that LPPL-based critical windows may be interpreted as periods of heightened systemic vulnerability rather than precise crash forecasts. From a risk management perspective, such periods may be informative for identifying conditions under which markets are particularly sensitive to external disturbances.

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Publication Details

Journal
Risks
Published
2026-06-29
DOI
https://doi.org/10.3390/risks14070145
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
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article

Was the 2025 DAX Crash Endogenous? Evidence from the Log-Periodic Power Law Model

Stelios M. Potirakis, Pavlos I. Zitis
Risks
Market Dynamics and Volatility
article

Was the 2025 DAX Crash Endogenous? Evidence from the Log-Periodic Power Law Model

Stelios M. Potirakis, Pavlos I. Zitis
article en

Abstract

In this article, we investigate whether the crash of the German DAX index following the U.S. tariff announcement in April 2025 is consistent with pre-existing endogenous market fragility rather than a purely exogenous shock. The analysis is conducted within the Log-Periodic Power Law (LPPL) framework using the Filimonov–Sornette (FS) specification, complemented by shrinking-window estimation, Ornstein–Uhlenbeck residual diagnostics, surrogate time-series analysis, and a GARCH-based Monte Carlo false-positive assessment. The results reveal a statistically stable critical period preceding the observed market collapse, within which the tariff announcement occurred and was followed by a pronounced market decline. Overall, the findings suggest that the market operated in a regime of elevated systemic fragility, where the tariff announcement may have acted as a triggering event within an already critical state. This study contributes to the literature on financial critical phenomena by providing evidence that LPPL-based critical windows may be interpreted as periods of heightened systemic vulnerability rather than precise crash forecasts. From a risk management perspective, such periods may be informative for identifying conditions under which markets are particularly sensitive to external disturbances.

RisksVol. 14(7)
University of West Attica (GR)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Market Dynamics and Volatility
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