The solvency of the insurance company is the focal point of insurance regulation. One prevalent way to safeguard the insurer's financial strength is setting capital requirement. Although capital requirements have been transformed from constant ones to risk-based capital requirement (RBC), the literature finds that RBC is rather ineffective in rendering early warning. The literature to date further shows that scenario analysis done with dynamic cash flow models generates the best predicting results. Since a natural extension of scenario analysis is simulation analysis, this paper aims to investigate the effectiveness of simulation analysis in solvency/insolvency predictions. We find that simulation analysis as well as scenario analysis does dominate RBC in correctly classifying insurers' financial conditions. However, simulation analysis outperforms scenario analysis only by small or insignificant margins. Such a tie mainly results from the use of the same cash flow model.