Business User Guide =================== Welcome to the Ergodic Insurance Optimization Business User Guide. This guide will help you use our advanced simulation framework to make data-driven decisions about insurance retentions and limit selections for your company. This guide is designed for: * **CFOs and Financial Decision Makers** who need to optimize insurance spending * **Risk Managers** evaluating insurance program structures * **Entry-level Actuaries** learning practical insurance optimization * **Business Owners** seeking to balance growth and risk protection No advanced mathematics or programming knowledge is required. We'll walk you through everything step-by-step using practical examples and clear explanations. .. toctree:: :maxdepth: 2 :caption: Guide Contents: executive_summary quick_start running_analysis decision_framework case_studies advanced_topics hjb_solver_guide faq glossary Getting Started --------------- If you're new to ergodic insurance optimization, we recommend reading the sections in order: 1. Start with the :doc:`executive_summary` to understand the core concepts 2. Follow the :doc:`quick_start` to set up your first analysis 3. Use :doc:`running_analysis` to perform your own company assessment 4. Apply the :doc:`decision_framework` to make optimal choices 5. Review :doc:`case_studies` for realistic examples For Help -------- * Check the :doc:`faq` for common questions * Consult the :doc:`glossary` for term definitions * Review example notebooks in ``ergodic_insurance/notebooks/`` * Open an issue on `GitHub `__ * Contact: Alex Filiakov (alexfiliakov@gmail.com) Key Insight ----------- **The Insurance Paradox**: Traditional insurance analysis uses ensemble averages (expected values across many companies). But your company experiences time averages (growth over years). These can differ dramatically. Our framework shows that paying 200-500% of expected losses can be optimal when viewed through the lens of time-average growth. Ready to transform insurance from a cost center to a growth enabler? Let's begin!