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All Journal JITCoS : Journal of Information Technology and Computer System
Sindi Pratika Siwi
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Control & Systems Engineering

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Solvency Resilience Analysis Using Dynamic Financial Analysis:A Simulation of Adaptive Asset Allocation at PT Asuransi Bina Dana Arta Tbk Aurellia Aknesia Hendrawan; Sindi Pratika Siwi; Fikri Haikal; Putri Najwa Minadhifa
JITCoS : Journal of Information Technology and Computer System Vol. 2 No. 1 (2026): Journal of Information Technology and Computer System
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v2i1.75

Abstract

This research aims to evaluate the solvency resilience of PT Asuransi Bina Dana Arta Tbk (ABDA) against catastrophic shocks and investment market volatility through a System Dynamics simulation approach within a Dynamic Financial Analysis (DFA) framework, addressing the limitations of prior static methods that fail to capture dynamic management responses. Utilizing Q1 2025 financial data projected over a 60-month horizon, this study tests a double stress test scenario comprising a 350% surge in claims and a simultaneous stock market correction to measure the effectiveness of adaptive asset allocation policies. The simulation results demonstrate that the company's capital structure is highly robust, with the Risk-Based Capital (RBC) ratio remaining above 200% under normal conditions, and despite experiencing severe pressure in the crisis scenario, the lowest solvency level (nadir point) reached was 150.64%, which remains significantly above the Financial Services Authority (OJK) regulatory threshold of 120%. These findings conclude that the company possesses resilient fundamentals, where the implementation of an automated de-risking mechanism proved to be a crucial factor in preventing insolvency and mitigating capital erosion during economic turbulence, suggesting that dynamic approaches should be adopted as a new standard in insurance risk management.
Co-Authors Aurellia Aknesia Hendrawan Fikri Haikal Putri Najwa Minadhifa