Answer:
Only statement 2 is correct as the likely range of returns of security A would be higher as it has a higher standard deviation which means that its returns deviate more from the mean than security B, which implies that the range of returns of security A is likely to be higher than the range of return on security B.
Statement 1 is wrong because a security has higher risk premium when it has a higher Beta, which means that when the standard deviation is linked to the market returns than it may have a higher risk premium, but just on the basis of standard deviation we can not make that decision.
Statement 3 is wrong because we do not know the risk premiums of both the stocks so we cannot calculate the sharpe ratio as is calculated by dividing the excess returns by the standard deviations of stocks.
Explanation:
Answer:
$11 million
Explanation:
Calculation to determine the deficit or surplus in 2018.
First step is to calculate the national budget debt using this formula
National budget debt= Budget surplus in 2008 + budget deficit in 2009 + budget surplus in 2010
Let plug in the formula
National budget debt= $304 million - $452 million + $109 million
National budget debt= - $39 million
Now let calculate the the deficit or surplus in 2018 using this formula
Deficit or surplus= National budget debt + national debt
Let plug in the formula
Deficit or surplus= -$39 million + $50 million
Deficit or surplus= $11 million
Therefore the deficit or surplus in 2018 is $11 million
Answer:
51.8% and 44.21%
Explanation:
The computation is shown below:
Initial markup = (Original price - initial price) ÷ (Original price)
= ($1,100 - $530) ÷ ($1,100)
= $570 ÷ $1,100
= 51.8%
And, the maintained markup is
= (Sale price - cost price) ÷ (Sale price)
= ($950 - $530) ÷ ($950)
= $420 ÷ $950
= 44.21%
The markup always expressed in percentage forms
Answer:
C. Company A is not bound by the contract because of illegality
Answer:
The correct answer is . d. none of the above.
Explanation:
Gini coefficient is a measure of the inequality devised by the Italian statistician Corrado Gini. It is normally used to measure income inequality, within a country, but it can be used to measure any form of unequal distribution. The Gini coefficient is a number between 0 and 1, where 0 corresponds to perfect equality (all have the same income) and where the value 1 corresponds to perfect inequality (one person has all income and none others ). The Gini index is the Gini coefficient expressed in reference to a maximum of 100, instead of 1, and is equal to the Gini coefficient multiplied by 100. A variation of two cents of the Gini coefficient (or two units of the index) is equivalent to a distribution of 7% of wealth from the poorest sector of the population (below the median) to the richest (above the median).
