Answer:
b.Experience-rating plan
Explanation:
Experience rating is a method of evaluating used by insurance providers to adjust premiums up or down. The rating reflects your previous loss experience. It is based on the presumption that your historical loss experience predicts your future loss experience. In other words, your future losses are likely to be similar to those you incurred in the past. The Experience Rating Plan is mandatory for all eligible insureds. Any action taken in any form to evade the application of an experience modification determined in accordance with this Plan is prohibited. The object of the Experience Rating Plan is to recognize the differences between individual insureds through the use of the individual insured's own loss experience. The experience rating process serves as a means of using a history of past losses to predict the future losses of an insured.
This is done by comparing the experience of an individual insured to the average insured in the same classification. Therefore, using the insured's past experience, the experience modification is determined by comparing the actual losses to expected losses. An insured with better than average experience will produce a credit experience modification factor, while an insured with worse than average experience will produce a debit experience modification factor. A credit experience modification factor, less than 1.00, results in a premium reduction. A debit experience modification factor, greater than 1.00, results in a premium increase. An experience modification factor of 1.00, or unity, does not change premium.
Value judgments and factual uncertainties
Answer:
<em>c. The reasoning of both Alfons and Mary suffers from the omitted variable problem</em>
Explanation:
The issue of omitted variables occurs as a result of mis-specification of a linear regression model, which could be either because the impact of the omitted variable on both the dependent variable is unclear, or the evidence was not accessible.
This causes you to omit the variable from your regression, resulting in over-estimation (upward bias) or underestimation (downward) of the influence of one of the other predictor variables.
Answer:
Fidelity Bond
Explanation:
Based on the information provided within the question it can be said that the type of insurance that covers this is a Insuring Agreement called a Fidelity Bond. This is a type of insurance that covers the buyer of the policy from any losses that they may incur from a specific individual that works for them embezzling money or doing any other fraudulent behavior. Similar to what the head teller did to the bank in this scenario.
Answer:
total weight of debt = 0.343 or 34.3%
Explanation:
stock's market value = 17,500 x $69 = $1,207,500
bond₁'s market value = $250,000 x 101.5% = $256,750
bond₂'s market value = $350,000 x 106.5% = $372,750
total market value of the firm = $1,837,000
weighted capital structure:
market value weight
stocks $1,207,500 0.657
bond₁ $256,750 0.140
bond₂ $372,750 0.203
total $1,837,000 1
total weight of debt = 0.343 or 34.3%
