Question 1: When performing reserve forecasting for a general insurance company, what is typically the most critical variable to estimate?
Which action should you take?
Question 2: When analyzing the persistence of insurance claims, which statistical technique would you use to model the time until a claim reoccurs?
Which action should you take?
Question 3: What is the key advantage of using quantile regression over ordinary least squares (OLS) regression when analyzing financial data?
Which action should you take?
Question 4: How does "Reinsurance Modeling" contribute to financial modeling in insurance, and what factors do you consider when evaluating reinsurance arrangements?
Which action should you take?
Question 5: What is the role of "Risk Aggregation" in multi-line insurance products, and how do you use data analysis to evaluate combined risk exposure?
Which action should you take?
Question 6: When using a Monte Carlo simulation to model risk in a portfolio, which distribution is typically used for modeling the claims frequency?
Which action should you take?