Data-Driven Regression Modelling of Insolvency Outcomes: Judicial Efficiency, Foreign Participation, and Recovery Trends
Keywords:
Insolvency Law, Bankruptcy Proceedings, Judicial Efficiency, Asset Recovery, Foreign Creditor Participation, Descriptive Statistics, Segmented Trend Analysis, Linear Regression Modeling, Polynomial Curve Fitting, Time-Series Evaluation, Statistical Modelling, Empirical Legal AnalysisAbstract
This paper provides an in-depth analysis of Albania’s debt relief system over the period 1995–2020. The dataset comprises annual bankruptcy court caseloads, foreign-creditor participation rates, and asset-reclamation statistics, allowing an examination of long-term trends amid substantial fluctuations. Using segmented time-series regression, we identify significant structural turning points associated with two major legislative reforms in 2002 and 2016. Both the level and slope of annual bankruptcy filings increased markedly following these legal interventions. A fractional logistic model indicates that foreign-creditor involvement, consistently between 13% and 15%, increased notably after 2016, reflecting improved functionality of the international recognition system for cross-border operations. Asset-recovery rates, averaging 59%, were analysed using regression and Generalized Additive Models (GAMs), showing that recovery efficiency declines under heavier judicial caseloads but improves in years with greater foreign participation. Comparative analysis with Romania, Bulgaria, and Serbia demonstrates that Albania is approaching regional norms, though gaps remain between recovery performance and institutional capacity. Overall, the results highlight those judicial reforms, the use of statistical tools in administrative decision-making, and the combination of legal modernization, courtroom efficiency, and international integration are critical determinants of effective bankruptcy systems.
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Copyright (c) 2025 Teuta Hoxha, Enkeleda Olldashi, Bahaa Hamzah Almahmodi, Andres Annuk, Hussein Alkattan, Mostafa Abotaleb

This work is licensed under a Creative Commons Attribution 4.0 International License.


