Answer:
portfolio's standard deviation = 0.3256
Explanation:
Stock Expected Return Standard Deviation Wi
A 10% 30% 0.2
B 20% 40% 0.8
covariance = [(10% - 10%) x (20% - 20%)] / (2 - 1) = 0
portfolio's standard deviation = (stock A's Wi² x variance) + (stock B's Wi² x variance) + (2 x covariance x weight A x weight B)
portfolio's standard deviation = √{(0.2² x 0.09) + (0.8² x 0.16) + 0} = √(0.0036 + 0.1024) = √0.106 = 0.3256
Answer:
A. 25% of the monthly returns are less than or equal to the first quartile. 50% of the monthly returns are less than or equal to the second quartile. 75% of the monthly returns are less than or equal to third quartile.
Explanation:
The data shows that the data is less than 25% in the first quartile. The other half of the data falls in the second quartile which is about almost 50% of the data. The 75% of the monthly returns are less than or equal to the third quartile.
I think the qns is not complete.
Answer:
$340,000
Explanation:
Total costs for producing 150,000 units = $320,000
if fixed costs are $150,000, that means that the variables costs = $320,000 - $150,000 = $170,000
variable cost per unit = $170,000 / 150,000 units = $1.33 per unit
total variable costs for producing 300,000 units = 300,000 x $1.13 = $340,000
positive:
New facilities for the tourists also benefit locals, eg: new roads
Greater demand for local food and craft
negative:
Overcrowding and traffic jams
Prices increase in local shops as tourists are often more wealthy than the local population