Preprint / Version 1

Empirical calibration of contract commitments in financial qualification requirements: evidence from a Brazilian high court

##article.authors##

  • Moreno Souto Santiago National High Court of Brazil https://orcid.org/0009-0009-8653-8250
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Project Administration
    • Software
    • Supervision
    • Validation
    • Visualization
    • Writing – Original Draft Preparation
    • Writing – Review & Editing

DOI:

https://doi.org/10.1590/SciELOPreprints.15159

Keywords:

Financial Qualification, Contractual Commitments, Gross Revenue, Public Procurement, Risk Management

Abstract

This study empirically examines whether the financial qualification parameters established by Internal Regulation STJ/GDG No. 30/2022 remain aligned with the observed behavior of firms contracting with the Brazilian Superior Court of Justice (STJ), with particular emphasis on the measurement basis of contractual commitments and the fixed 10% divergence threshold relative to gross revenue. Using accounting data from the Court’s Financial Information Registry and Contractual Accounting Dashboard, we analyze a sample of 25 ongoing labor-intensive service contracts deemed representative of the current portfolio. Three contractual commitment metrics were constructed — total contract value, total remaining value, and remaining value annualized over 12 months (VR₁₂m). Financial sufficiency ratios (Equity ÷ (VR/12)) and absolute percentage differences between commitments and gross revenue were computed. The empirical strategy combined descriptive statistics, Shapiro–Wilk normality testing, paired and one-sample t-tests, Wilcoxon tests, and bootstrap confidence intervals. Results indicate that the equity sufficiency ratios already exceed the regulatory minimum when calculated using total remaining commitments, and that adopting the annualized remaining value increases such ratios without materially altering firms’ qualification status. Regarding divergence between commitments and gross revenue, the VR₁₂m-based metric shows typical differences around 50%, with an interquartile range approximately between 40% and 60%, evidencing statistically significant deviation from the fixed 10% threshold. Sensitivity analyses addressing survivorship bias — incorporating past penalties and a predictive Contract Default Risk Index (IRDC) — using Spearman correlation, Mann–Whitney and Kruskal–Wallis tests, and risk-stratified bootstrap procedures, found no statistically robust association between higher divergence levels and greater observed or predicted contractual risk. The findings suggest that explicitly adopting annualized remaining commitments in contract declarations and revisiting the 10% fixed divergence threshold in light of empirical evidence may enhance regulatory calibration, while preserving prudential safeguards and focusing justification requirements on genuinely atypical cases.

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Author Biography

Moreno Souto Santiago, National High Court of Brazil

Master’s degree in Governance and Innovation in Public Policies from the University of Brasília (UnB), Specialist in Public Sector Accounting from the Catholic University of Brasília (2011), and Bachelor’s degree in Accounting from UnB (2009).

Currently, I serve as a Judicial Analyst – Specialized Support Area: Accounting at the Superior Tribunal of Justice (STJ), with experience in public sector accounting acquired both at the federal level, through my work at the STJ, and at the Government of the Federal District, where I worked as a Specialist in Development and Social Assistance (Accounting area).

I also have private sector experience, having worked as a Financial Technician at AmBev.

At the STJ, I perform activities related to accounting, public procurement, and administrative contracts, as well as data analysis and process automation, using tools such as Power BI, Power Apps, Power Automate, Dataverse, and Python, with a focus on improving institutional management and governance.

I have expertise in public procurement and contracts, with emphasis on economic and financial qualification, cost analysis and price formation, evaluation of market research, price adjustments, contract renegotiations, contractual revisions, and business intelligence.

I also serve as a tutor in Microsoft Power Platform tools, with proficiency in SharePoint, Power BI, Power Automate, Power Apps, Dataverse, and Python.

My research interests include accounting, innovation, governance, and public management, particularly the role and treatment of financial information in companies contracted by the public sector.

Posted

03/16/2026

How to Cite

Empirical calibration of contract commitments in financial qualification requirements: evidence from a Brazilian high court. (2026). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.15159

Section

Applied Social Sciences

Plaudit

Data statement

  • The research data is contained in the manuscript