Answer:
Answer is explained in the explanation section below.
Explanation:
Solution:
a.
Unleaded fuel prices are expected to fall by June 2019 according to future demand forecasts.
Since the future price is less than the spot price, it would be better for long-term buyers who can wait for the price to increase because the market is currently in BACKWARDATION. This happens due to a short-term disparity in demand and supply.
b.
If the information in this sector is reliable and impartial, the expected June price will most likely be similar to the real price we will see in June.
It is reliable if the market is accurate and impartial, i.e. the market research on which knowledge flows.
The prices of goods are either integrated or expressed in such a flow of knowledge.
So, if it's unbiased and reliable, the forecast prices would be reasonably similar to the real future price.
C. stock market prediction is not the application of ahp.
A stock market forecast is an attempt to determine the future value of a company's stock or other financial instruments traded on a stock exchange. Correctly predicting the future price of stocks can be very profitable.
A stock market forecast is an attempt to predict the future value of individual stocks, particular sectors, markets, or the market as a whole. These forecasts typically use fundamental analysis of companies and economies, technical analysis of charts, or a combination of both.
Learn more about stock market prediction here: brainly.com/question/690070
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Answer:
$11000
Explanation:
Depreciation is the reduction in the value of an asset over time due to regular wear and tear. Straight - line depreciation is where the same amount is reduced every year over the life of the asset. It is calculated as (Cost of asset - residual value) / number of useful life years
= ($60000 - $5000) / 5 = $11000
Answer:
the portfolio´s beta is 1.65
Explanation:
when the individual calculation of beta has been given, is possible to aggregate them as a weigthed average, so it is possible to apply te next formula
![Beta Portfolio=w_{1} *\beta _{1}+ w_{2} *\beta _{2} + .... + w_{n} *\beta _{n}](https://tex.z-dn.net/?f=Beta%20Portfolio%3Dw_%7B1%7D%20%2A%5Cbeta%20_%7B1%7D%2B%20w_%7B2%7D%20%2A%5Cbeta%20_%7B2%7D%20%2B%20....%20%2B%20w_%7Bn%7D%20%2A%5Cbeta%20_%7Bn%7D)
where w is the weigthed value for each asset, in this particular case we have:
![Beta Portfolio = \frac{50.000}{100.000}*1.50 +\frac{50.000}{100.000}*1.70](https://tex.z-dn.net/?f=Beta%20Portfolio%20%3D%20%5Cfrac%7B50.000%7D%7B100.000%7D%2A1.50%20%2B%5Cfrac%7B50.000%7D%7B100.000%7D%2A1.70)
so with this result we get 1.65
Answer:
I'm going to say the answer is B ! I could be wrong but this is what i think :)
Explanation: