Answer:
The seller may reject the offer and choose to provide a counteroffer.
Explanation:
In a free-market environment, a seller has the option to accept or decline an offer for what he is selling, in this case, a house. Furthermore, he can propose a counteroffer to see if the buyer is able and willing to pay more for that house. Taking this simple rules into account, the seller may reject Kelly’s offer if he wants and can choose to make a counteroffer.
Answer: -18.80% for bond J, -15.46% for bond K
Explanation:
If interest rates suddenly rise by 2 percent, the percentage price change of bond J is -18.80% while the percentage price change of bond K is -15.46%
The calculation is provided below
Answer:
Coworking is an arrangement in which workers of different companies share an office space, allowing cost savings and convenience through the use of common infrastructures, such as equipment, utilities, and receptionist and custodial services, and in some cases refreshments and parcel acceptance services.
Answer:
c. The present value of the perpetuity has to be higher than the present value of either the ordinary annuity or the annuity due
Explanation:
Considering the following statements:
- the ordinary perpetuity, the payments must occur on the first day of each monthly period. Hence this statement is incorrect.
- The ordinary annuity would be more valuable than the annuity due if both had a life of 10 years. Incorrect.
- In case of perpetuity the times is not limited, hence would get the higher return.
Answer:
B. they involve the use of expert judgement do develop forecasts
Explanation:
A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.
Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.
In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.
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