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A Financial Risk Manager exam candidate suggests that a model based on financial theory is likely to lead to a high degree of out-of-sample forecast accuracy. Which of the following best explains why the candidate is correct?
A
A solid financial background significantly increases the chances of the model working in the out-of-sample period as well as for the sample data used to estimate the model's parameters.
B
A financial background increases the chances of use of authentic input data.
C
Financial theory incorporates industry-wide variables.
D
Financial theory would be easy to understand and research on.
Explanation:
Correct Answer: A
A model that is based on a solid financial background is more likely to produce accurate out-of-sample forecasts because:
Why other options are incorrect:
B: While financial background may increase chances of using authentic input data, this doesn't guarantee out-of-sample forecast accuracy. Accuracy depends more on model robustness and applicability.
C: Although financial theory incorporates industry-wide variables, this alone doesn't ensure high out-of-sample forecast accuracy. Variable inclusion enhances comprehensiveness but doesn't directly translate to forecast accuracy.
D: The ease of understanding and researching financial theory doesn't inherently improve out-of-sample forecast accuracy.