Answer:
Razor should accrue a liability in the amount of $0.
Explanation:
If the likelihood are likely and the quantity can be calculated with satisfactory precision, a contingent liability is to be accumulated. The amount cannot be calculated with reasonable precision in the given situation so no liability is to be acknowledged. Therefore Razor should accrue a liability in the amount of $0.
Answer:
The journal entry is as follows:
Retained earnings A/c Dr. $18 million
To common stock $0.30 million
To capital paid in excess A/c $17.70 million
(To record the stock dividend issued at 1%)
Working notes:
Shares issued = 1% of 30 million
= 0.30 million
Retained earnings:
= 0.30 million × $60 per share
= $18 million
Common stock:
= 0.30 million × $1 par value
= $0.30 million
Capital paid in excess:
= Retained earnings - Common stock
= $18 million - $0.30 million
= $17.7 million
Answer:
Suppose Y is a random variable with mu Subscript Upper YμY = 0, and sigma Subscript Upper Y Superscript 2σ2Y = 1, skewness = 0, and kurtosis = 100.
n random variables drawn from this distribution might have some large outliers due to the reason that there might be some outliers because the kurtosis of the distribution equals 100..
Option A.
Explanation:
From the question, the rate of the description of the data given will not give rise to outliers in the random sample drawn from the population.
Therefore, there might be some outliers because the kurtosis of the distribution equals 100 - Option A.
Answer:
A. Stock A should have a higher expected return.
Explanation:
Capital Asset Pricing Model (CAPM) formula is used to calculate expected return of a stock and the formula is as follows;
CAPM; r = risk free rate + beta(Market risk premium)
Since beta is in the CAPM and determines the rate of return, we will use beta to compare these two stocks. The higher the beta, the higher the rate of return. Stock A has a beta of 0.9 which is higher than that of B (0.6). Therefore, stock A's stock return will be higher than that of B but lower than the market return since beta of the market is 1.0.