A homeowner fears the construction of a factory nearby will decrease the value of her property. this illustrates the principle of externalities.
Many people are unaware that there are tax advantages for home owners when they purchase, own, remodel and even sell their property. These advantages take the form of tax deductions, which lower your taxable income and hence lower your tax payment.
However, you might be astonished to hear that even though the house was bought with a mortgage, you still own it. As the homeowner, your name is listed on the title. The lender does not actually own your home; rather, they only have a stake in the property and the mortgage note.
According to the Federal Reserve's 2020 Survey of Consumer Finances, if you own your home, you probably have a higher value than someone who rents. The assumption that owning a home is a wise financial decision is supported by the fact that homeowners have a net worth that is more than 40 times bigger than their counterparts who rent.
Learn more about homeowners here:
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Answer:
The efficient level of pollution removal occurs where the marginal benefit of pollution removal equals the marginal cost of pollution removal (some cow farts could be allowed).
Explanation:
This is the statement that would best fit within economic theory. If we look at this problem, we would see that there is a cost (the cost of removing pollution) and there is a benefit (the benefit of pollution removal). If we do not take the welfare of the Earth into account, then the best (most efficient) strategy to take would be one in which the marginal benefit of pollution removal equals the marginal cost of pollution removal. This would mean that it is not efficient to get rid of all cow farts. Instead, it is better to allow some in order to keep the cost of pollution removal low enough.
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got:
Answer:
Yield to Maturity(YTM) = 3.47%
Explanation:
<em>The yield to maturity is the required rate of return (discount rate) that would equate the price of the bond and cash outflow expected from the bond. The yield on the bond can be determined as follows using the formula below: </em>
YTM = C + F-P/n) ÷ 1/2 (F+P)
YTM-Yield to maturity-
C- coupon
F- Face Value
P- Current Price
DATA
Coupon = coupon rate × Nominal value = 1,000 × 8%× 1/2=40(note we divide by 2 because interest is paid semi-annually)
n= 4×2 = 8 (note there 2 half months in a year)
Face Value = 1000
YM-?, C-40, Face Value - 1,000, P-103.75/100× 1000 = 1037.5
YM = (40 + (1000-1037)/8) ÷ ( 1/2× (1000 + 1037.5 ) ) =0.0347
YM = 0.0347
× 100 = 3.47%
Yield to Maturity = 3.47%
C. it’s just not something formal you would say on business communication.