Applies theoretical models to insurance problems and is the real-world counterpart to theories discussed in actuarial science, risk management, and insurance courses. The course is divided into two parts: (1) statistical applications and (2) finance and economic applications. Discusses probability distributions frequently used to model losses and inferences which can be made from claims data (e.g., goodness-of-fit and experience rating). The finance section includes
application of portfolio theory to the value of the firm (with and without insurance) to reinsurance decisions and captive insurance situations. Note: This course is one of two courses satisfying the Technology Requirement for Risk Management & Insurance majors. RSK MGT 3505 also satisfies the Technology Requirement for students double majoring in Risk Management & Insurance and Finance.