Final answer:
Without the necessary statistical data or methodology details, it's not possible to accurately answer the question. A 99 percent probability range of returns normally requires calculating the mean, standard deviation, and applying a corresponding Z-score.
Step-by-step explanation:
The question does not provide the required statistical data (such as mean and standard deviation) or methodology (like historical simulation or variance-covariance approach) to determine the 99 percent probability range of stock returns. For an accurate 99 percent probability range, one would typically use either historical data to simulate potential outcomes or calculate the range using the stock's mean return and standard deviation, followed by applying a Z-score corresponding to the 99 percent confidence level. However, without this necessary information, we can't confidently provide a direct answer to the question. Thus, we can't calculate whether the correct range is option A, B, C, or D listed in the question.
For instance, if you were to calculate the expected value and standard deviation from a given set of returns, you would then apply the Z-score for a 99 percent confidence level (usually 2.33 for a normal distribution) to create a range as follows:
- Calculate the average return (mean).
- Find the standard deviation of the returns.
- Use the Z-score to find the range: mean ± (Z-score * standard deviation).
Overall, the calculation of probability ranges for stock returns is a fundamental aspect of financial analysis and risk assessment in investing.