This research presents a novel Discrete Event Simulation (DES) of the Lloyd's of London specialty insurance market, exploring complex market dynamics that have not been previously studied quantitatively. The proof-of-concept model allows for the simulation of various scenarios that capture important market phenomena such as the underwriting cycle, the impact of risk syndication, and the importance of appropriate exposure management. Despite minimal calibration, our model has shown that it is a valuable tool for understanding and analysing the Lloyd's of London specialty insurance market, particularly in terms of identifying areas for further investigation for regulators and participants of the market alike. The results generate the expected behaviours that, syndicates (insurers) are less likely to go insolvent if they adopt sophisticated exposure management practices, catastrophe events lead to more defined patterns of cyclicality and cause syndicates to substantially increase their premiums offered. Lastly, syndication enhances the accuracy of actuarial price estimates and narrows the divergence among syndicates. Overall, this research offers a new perspective on the Lloyd's of London market and demonstrates the potential of individual-based modelling (IBM) for understanding complex financial systems.

翻译：本研究提出了一种新颖的离散事件模拟（DES）模型，用于模拟伦敦劳合社专业保险市场，探索此前未通过定量方法研究的复杂市场动态。该概念验证模型能够模拟多种场景，捕捉重要的市场现象，如承保周期、风险辛迪加的影响以及适当风险暴露管理的重要性。尽管校准程度最低，本模型已被证明是理解和分析伦敦劳合社专业保险市场的宝贵工具，尤其在为监管机构及市场参与者识别需进一步研究的领域方面。模拟结果生成了预期行为：采用先进风险暴露管理实践的辛迪加（保险人）破产可能性更低；巨灾事件会引发更明显的周期性模式，并促使辛迪加大幅提高保费；此外，辛迪加机制提高了精算定价估算的准确性，并缩小了辛迪加之间的差异。总体而言，本研究为伦敦劳合社市场提供了全新视角，并展示了基于个体建模（IBM）在理解复杂金融系统中的潜力。