Answer: No, because Mallory and Raghav are not bound by the contract.
Explanation: Being bound by a contract entails being linked to a written agreement, the breaching of which could result in consequences lying with the person who breached the contract. However when this contract was entered into, there was a clause that allowed the parties to cancel the contract at any time. When Mallory fired Raghav the contract was subsequently cancelled, making the contract null and void (non - existent). This means that Raghav is not entitled to the outstanding 10 months' salaries.
Answer:
B. what strategy changes are needed to prepare for the impacts of those driving forces.
Explanation:
Driving force analysis is defined as the process by which managers and businesses identify and account for changes that occurs in the industry.
They influence the structure of the industry and also the competitive behaviour of rival companies.
So driving force analysis will help the manager formulate strategies that will mitigate the effects of these driving forces on the company's performance.
Answer:
The answer is 3. accrual basis net income
Explanation:
Accrual basis is the effects of transactions on a reporting entity's economic resources in the period in which those transactions occur, even if the resulting cash receipt and payment occur in a different time.
The $1,500 will be recorded in the month of May
Cash basis recognizes transactions in the period in which cash receipts and payment occur. This can be found in government account.
Option 1 is not correct because this is not a basis in preparing financial statement
Thats true if u do that then u will not be arrested by the police that is what i would do too
Answer and Explanation:
The computation is shown below:
a. For expected return
As we know that
Expected return = Probability × Rate of return
The same formula applies for all of the given stock
For Boom it is
= 0.4(0.21) + 0.4(0.36) + 0.2(0.55)
= 0.33
For Normal it is
= 0.4(0.17) + 0.4(0.13) + 0.2(0.09)
= 0.13
For Bust
= 0.4(0.00) + 0.4(-0.28) + 0.2(-0.45)
= - 0.20
So, the expected rate of return is
= 0.25(0.33) + 0.60(0.13) + 0.15(-0.20)
= 0.1305
Now the variance is
= 0.25 × (0.33 - 0.1305)^2 + 0.60 × (0.13 - 0.1305)^2+ 0.15 × (-0.20 – 0.1305)^2
= 0.053
Now the standard deviation is
= [0.053]^1/2
= 0.23
b. Risk premium is
= E(Rp) – Rf
= 0.1305 - 0.038
= 0.0925
c. Expected real return is
= 0.1305 - 0.035
= 0.0955
The Expected real risk premium is
= risk premium - inflation rate
= 0.0955 - 0.035
= 0.0605
We simply applied the above formulas
