What question did this study set out to answer?

This research aims to develop an early prediction model for retail firm bankruptcies using the Lyapunov exponent during the COVID-19 pandemic.

May 8, 2026

Early prediction of retail firm bankruptcies in Lyapunov exponent chaos model: evidence from the COVID-19 pandemic

Key Points

This research aims to develop an early prediction model for retail firm bankruptcies using the Lyapunov exponent during the COVID-19 pandemic.
Utilized a Lyapunov exponent chaos model to analyze bankruptcy data.
Assessed data from various retail firms affected by COVID-19.
Applied statistical analysis to validate prediction accuracy.
The model successfully predicted bankruptcies with a high level of accuracy.
Key variables influencing bankruptcy were identified, enhancing predictive capabilities.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Soydemir et al. (Wed,) studied this question.

synapsesocial.com/papers/69fd7e42bfa21ec5bbf06681 https://doi.org/https://doi.org/10.1504/ijbsr.2027.10078218

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