The market demand curve would be 1000 - 0.125Q.
<h3>How to calculate the demand curve?</h3>
It should be noted that the market demand curve will be the sum of the individual demand curve.
The market demand curve will be calculated thus. Mary’s demand curve is 5P = 5000 – 1.25QM. Here, p = 1000 - 0.25QM
Jack’s demand curve for donuts is given by P = 1000 – 0.5QJ. Helen’s demand curve is given by QH = 2000 – 2P. This will be P = 1000 - 0.5QH.
The slope will be:
= 0.5 × 0.25
= 0.15
The demand function of Jack and Helen are the same. The demand curve will be 1000 - 0.125Q.
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Answer: C) noncompensatory rule
Explanation:
The non-compensatory rule is used to describe a situation where a person does not believe that the good traits of a product in one area will compensate for perceived bad traits in another area.
For Elton, the good trait is well known brand names and the bad trait is brand names that are not well known. Even if for the brand that is not well known, the price is lower, the discount is higher or the store is well known, these still will not be enough to compensate for the bad trait of not being well known.
Nielsen PRIZM uses Market Segmentation.
Explanation:
Market division is the way toward isolating a market of potential clients into gatherings, or sections, in view of various qualities. The fragments made are made out of buyers who will react also to showcasing procedures and who share qualities, for example, comparable interests, needs, or areas.
Market division makes it simpler for advertisers to customize their promoting efforts.
By organizing their organization's objective market into divided gatherings, as opposed to focusing on every potential client exclusively, advertisers can be increasingly effective with their time, cash, and different assets than if they were focusing on buyers on an individual level.
Gathering comparable shoppers enables advertisers to target explicit spectators in a financially savvy way.
Market division additionally lessens the danger of a fruitless or ineffectual showcasing effort.
At the point when advertisers separate a market dependent on key attributes and customize their procedures dependent on that data, there is an a lot higher possibility of progress than if they somehow managed to make a conventional battle and attempt to actualize it over all sections.
Answer:
Option D is the correct option
Explanation:
To find the optimal fund to combine with risk free rate of return, we will use Coefficient of variation,
Coefficient of variation(CoV) = Standard Deviation/Expected Return
CoV of Buckeye = 14%/20% = 0.7
CoV of Wolverine = 11%/12% = 0.9167
So, higher the CoV higher the risk, we will take Buckeye to combine with Risk Free Return.
Hence, Option A
- Required target return of portfolio = 22%
Risk Free return = 8%
Buckeye Return = 20%
Let the weight of Buckeye be X ,& weight of risk free be (1-X)
Required return = (WRF)*(RRF) + (WB)*(RB)
22 = (1-X)(8) + (X)(20)
22 = 8-8X + 20X
14 = 12X
X = 1.17
SO, weight of Buckeye is 1.17 or 117%
while weight of Risk free is -0.17 (1-1.17) or -17%
Hence, ans is OPTION D
