Answer:
True
Explanation:
A compensated absence is employee time off with pay, which can arise in such situations as sick leave, holidays, vacations, and jury duty. To account for compensated absences, it is not necessary to separately recognize them when they are earned and used within the same period, since it is typically rolled into the general compensation expense. However, they must be charged to expense and recorded as a liability when they are earned and their use is deferred to a later period.
An employer should accrue a liability for compensated absences payable to employees for their future absences, but only if all of the following conditions are met:
• The payment obligation for future absences is based on employee services already rendered.
• The amount of the obligation can be reasonably estimated.
• Payment is probable.
• The obligation is for employee rights that vest or accumulate.
The question is incomplete. Here is the complete question:
The following annual returns for Stock E are projected over the next year for three possible states of the economy. What is the stock’s expected return and standard deviation of returns? E(R) = 8.5% ; σ = 22.70%; mean = $7.50; standard deviation = $2.50
State Prob E(R)
Boom 10% 40%
Normal 60% 20%
Recession
30% - 25%
Answer:
The expected return of the stock E(R) is 8.5%.
The standard deviation of the returns is 22.7%
Explanation:
<u>Expected return</u>
The expected return of the stock can be calculated by multiplying the stock's expected return E(R) in each state of economy by the probability of that state.
The expected return E(R) = (0.4 * 0.1) + (0.2 * 0.6) + (-0.25 * 0.3)
The expected return E(R) = 0.04 + 0.12 -0.075 = 0.085 or 8.5%
<u>Standard Deviation of returns</u>
The standard deviation is a measure of total risk. It measures the volatility of the stock's expected return. The standard deviation (SD) of a stock's return can be calculated by using the following formula:
SD = √(rA - E(R))² * (pA) + (rB - E(R))² * (pB) + ... + (rN - E(R))² * (pN)
Where,
- rA, rB to rN is the return under event A, B to N.
- pA, pB to pN is the probability of these events to occur
- E(R) is the expected return of the stock
Here, the events are the state of economy.
So, SD = √(0.4 - 0.085)² * (0.1) + (0.2 - 0.085)² * (0.6) + (-0.25 - 0.085)² * (0.3)
SD = 0.22699 or 22.699% rounded off to 22.70%
Answer:
(B) multicollinearity is present.
Explanation:
Multicollinearity -
It is the process where , one of the predictor variable in the multiple regression model can be linearly predicted from the others with the substantial degree of accuracy , is known as multicollinearity or collinearity .
<u>In this case , the coefficient estimated of the multiple regression can change erratically for even a small change in the model .</u>
hence , from the question , the indication is of (B) multicollinearity is present .
Answer:
it can fall into the food
Answer:
<em>C. defensive strategy </em>
Explanation:
<em><u>Defensive strategy</u></em><em> </em><em> is been represented by the effort of Sal's reduction</em>.
Basically in defensive strategy, the consumers and the customers are been hold-back by the companies and organisations. In this when competition increases the companies try to pull back their old customers from their competitors company.
In the scenario which is been represented in the question the Sal's company indulge's in the action that is known as defensive strategy.
