Q. Why is it important to avoid using very old data for mortality rate adjustments?

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Q. What is the typical period of data used for mortality investigations?

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Q. Why might data be classified into similar groups during analysis?

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Q. When might further adjustments need to be made to the adjusted mortality rates?

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Q. Why is it important to consider expected changes in mortality rates over time?

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Q. In what scenario can future expected mortality changes be ignored?

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Q. In India, why are mortality rates assumptions particularly important for some contracts?

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Q. What factors may constrain an actuary's choice in determining mortality assumptions?

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Q. Which of the following products may exhibit variations in mortality rates based on medical examination and sum assured?

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Q. What source of data may be used to determine mortality rates?

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Q. How might reinsurer's rates influence mortality assumptions?

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Q. In practice, what considerations might impact the selection of mortality rates for insurance products?

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Q. What is the purpose of analyzing past experience in the assumptions setting process?

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Q. How is the Actual vs Expected (A/E) analysis used in experience analysis?

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Q. Why is it important for insurance companies to monitor actual compared to expected experience?

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Q. In addition to responding to adverse experience, what proactive approach do insurance companies take in managing their operations?

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Q. How does analyzing past experience contribute to making more informed decisions about pricing and reserves adequacy?

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Q. What is the primary requirement for data used in experience analysis?

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Q. Why is consistency important in data for experience analysis?

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Q. What is a potential problem with grouping data into too many groups?

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