Preview Questions Actuary | Role Specific Skill

Question 1: When analyzing the mortality risk in a life insurance portfolio, which method would you use to model the non-linear relationship between age and mortality rate?

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Log-normal Distribution

Generalized Linear Models (GLM)

Poisson Regression

Exponential Regression

Question 2: How does "Risk Appetite" influence risk assessment processes, and how do you determine an appropriate level of risk appetite for a financial institution?

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Risk appetite should be minimized to avoid taking any risks

Risk appetite defines the level of risk an institution is willing to take, and it is determined based on the institution's financial health, market conditions, and regulatory environment

Risk appetite is determined solely by the institution's shareholders and has no impact on operations

Risk appetite is irrelevant in financial risk management as all risks are unavoidable

Question 3: In a dataset with a normal distribution, what percentage of the data lies within 1 standard deviation of the mean?

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68%

99%

95%

50%

Question 4: For a risk-based insurance pricing model, which of the following data transformations is necessary when dealing with highly skewed data?

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Exponential Transformation

Z-score Normalization

Standard Deviation Scaling

Logarithmic Transformation

Question 5: When modeling the risk of an insurance portfolio, what is the primary benefit of using a Monte Carlo simulation?

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To forecast future trends

To optimize portfolio diversification

To model extreme risks and tail events

To estimate the mean expected loss

Question 6: In a Markov process used for modeling policyholder behavior, what does the transition matrix represent?

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The expected claim frequency

The probability of moving between states

The severity of claims at each state

The overall risk of policy lapses