Answer:
0.4 swiss good(s) per U.S good(s)
Explanation:
firstly we calculate how many dollars we get per Frank so we will say $1/ 5 Swiss Franks =$0.2 which is similar to (5x =1, solve for x =1/5 / 0.2 in simple maths )per Swiss Franc thereafter we calculate the how many Swiss Francs per good compared to dollars per good we can get so therefore 2 Swiss Francs per good/$1 per good is the ratio of comparison , hence we treat f(X) as a function of swiss good(s) per U.S good, therefore f(X)= 2 x , knowing that x= 0.2 f(x)= 2(0.2) which will result in f(x)= 0.4.
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Answer:
Should Marston Manufacturing Company accept or reject the project?
Marston C Company should reject the project because its expected return is lower than Division H's cost of capital.
Since the divisions' risk is so different, and probably their projects are also very different, the company should use different costs of capital to accept of reject the projects based on each division's cost of capital.
Imagine another situation where Division L is evaluating a project that yields 10%. If they used the company's WACC, then they should reject the project, but if they used the division's cost of capital, then they should accept the project (in this case I would recommend accepting it).
Explanation:
Division H's risk = 14%
Division L's risk = 8%
WACC = 11%
Explanation:
Let’s explore one by one as proposed:
An oil cartel raises oil prices: all prices in the oil-related products will increase making it more expensive for companies to be able to afford employees. As the US economy is heavily based on oil import and consumption, the unemployment rate (let´s call it UR from now on) would increase. Countries that export more than import could benefit from this scenario.
The U.S. dollar gains value against foreign currencies: It would be more expensive to produce goods in the US as its currency becomes stronger. Hence companies could choose to produce overseas, increasing the UR. One of the factors that attract investments is a cheap currency, meaning that a company could operate there at lower costs than anywhere else.
American consumers expect higher income in the future: As fights about average salary would arise between employees and companies, igniting even sindicalization, its proper to think that the same as above could occur; companies could choose to produce overseas in countries less demanding of labor rights and income, such as China provinces (I would recommend for you to watch American Factory, a awarded Netflix documentary about that subject).
Brazil experiences economic growth and increases its demand for U.S. exports: as I said in the first alternative, a country that has increased or more expensive exports could benefit from that creating more jobs, in this case decreasing the UR. If Brazil demands more US products, more has to be produced by the country, which would mean more people employed in this attractive sector.
U.S. real estate values rise: to be honest, it only affects indirectly. As housing becomes more expensive, people have to work more to be able to afford housing. That would mean they seeking better-paying jobs or in the absence of those being homeless of at least unable to buy a home. We could argue that the UR would decrease because it becomes more expensive to afford housing and hence people would migrate more but that’s a long shot rationale.
Answer:
Total materials variance = (Actual quantity * Actual price) - (Standard quantity * Standard price)
= 2,850 - (230 * 14.4)
= 462 (Favourable)
Materials price variance = (Standard price - Actual price) * Actual quantity
= [1.8 - (2,850/1,500)] * 1,500
= 150 Unfavourable
Materials quantity variance = (Standard quantity - Actual quantity) * Standard price
= [(230 * 8) - 1,500] * 1.8
= 612 Favourable
Total labour variance = (Actual hours * Actual rate) - (Standard hours * Standard rate)
= 19,458 - (230 * 84)
= 138 Unfavourable
Labour price variance = (Standard rate - Actual rate) * Actual hours
= [14 - (19,458/1,410)] * 1,410
= 282 Favourable
Labour quantity variance = (Standard hours - Actual hours) * Standard rate
= [(230 * 6) - 1,410] * 14
= 420 Unfavourable