Answer:
Amount investment in Sock Y = - $126,000
Beta of portfolio = 1.636
Explanation:
Data provided in the question:
Total amount to be invested = $140,000
Stock X Y
Expected return 14% 10%
Beta 1.42 1.18
Expected return of portfolio = 17.6%
Now,
let the weight invested n stock X be W
therefore,
Weight of Stock Y = 1 - W
thus,
( W × 14% ) + (1 - w) × 10% = 17.6
%
or
14W + 10% - 10W = 17.6%
or
4W = 7.6
or
W = 1.9
Therefore,
weight of Y = 1 - 1.9 = -0.9
Thus,
Amount investment in Sock Y = Total amount to be invested × Weight
= 140,000 × ( - 0.9 )
= - $126,000 i.e short Y
Beta of portfolio = ∑ (Beta × Weight)
= [ 1.42 × 1.9 ] + [ 1.18 × (-0.9) ]
= 2.698 - 1.062
= 1.636
Answer: The correct answer is "the informal rules of the game".
Explanation: The given scenario illustrates <u>the informal rules of the game.</u>
<u>Because despite not being an official standard, it is an informal rule that the company tends to follow because it gives good results, and is backed by the organizational culture of the company.</u>
Answer: you will only receive a record of your payment if you pay bills online
Explanation:
The correct answer is letter A.
<span>Job stress is a correlated variable. Job efficiency and job
stress are correlated variables in this study because the existence of each
would result to the other. This is how their relationship works, that when job
stress is increased, job efficiency is decreased, and when job stress is
decreased, job efficiency increases. </span>
Probability of someone in that age bracket dying this year would be .001
Explanation:
A degree in Risk Management is a form of academic degree granted to students in a post-secondary program focused on Risk Management. A student, university and business school may earn risk management degrees.
The sum of confusion that occurs in a given situation.
For example, if the heads are selected in a coin toss, the amount of risk involved is 50 per cent, as there is a 50 per cent probability that every coin toss will end up with tails. See also the Theory of Large Number, Odds and Probability.