Enhancing Portfolio Governance in CLO Markets: A Data-Driven Framework for Structured Credit Monitoring

Juhi Dharamveer Doshi

Citation: Juhi Dharamveer Doshi, "Enhancing Portfolio Governance in CLO Markets: A Data-Driven Framework for Structured Credit Monitoring", Universal Library of Business and Economics, Volume 03, Issue 02.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines a data-driven approach to enhancing portfolio governance in the collateralized loan obligation market amid increasing market complexity, regulatory pressure, and the accelerating digitalization of risk analytics. The relevance of the study is that traditional, structured credit monitoring, which relies on static reports and is limited to daily snapshots, no longer ensures the timely identification of credit drift, latent trajectories of collateral deterioration, and operational deviations. The purpose of the article is to provide a theoretical substantiation and conceptualization of a monitoring framework that combines Day-over-Day analysis with historical retrospection, market data, compliance metrics, and external events. The scientific novelty of the work lies in the transition from point-in-time observation to a historically contextualized analytical system capable not merely of recording changes, but of interpreting them within the logic of trends, macro-cycles, and stress scenarios. It is concluded that integrating expanded data, automation, and AI tools increases monitoring transparency, strengthens the predictive capacity of control, and lays a foundation for more precise, explainable, and resilient management of CLO portfolios. The article will be useful to financial market researchers, portfolio managers, risk analysts, compliance specialists, and fintech solution developers.


Keywords: Structured Credit, CLO, Portfolio Monitoring, Day-Over-Day, Credit Risk, Compliance.

Download doi https://doi.org/10.70315/uloap.ulbec.2026.0302002