Answer:
Explanation:
Before trade price is 1.75 and quantity is 125 million tons
After free trade, world price becomes domestic price so it is $1 per ton
At this price quantity supplied is 50 million tons and quantity demanded is 200 million tons
Amount of imported coal is the difference between QD and QS which is 200 - 50 = 150 million tons
Till 50 million tons, domestic supppliers supply. From 50 to 100 million tons, the foreign producers supply and after 100 million tons, domestic supply shifts so the new domestic price after quota is 1.50 per ton
At this price total supply is 150 million tons and total demand is also 150 tons. Domestic supply is 100 million tons and domestic demand is 150 million tons
New amount of imports are 50 million restricted by quota
Revenue to government is quota rents and it is (1.50 - 1.00)*50 million = 25 million. Revenue to producers is 0.5*(1.50 - 0.50)*100 million = $50 million
Answer:
Only statement 2 is correct as the likely range of returns of security A would be higher as it has a higher standard deviation which means that its returns deviate more from the mean than security B, which implies that the range of returns of security A is likely to be higher than the range of return on security B.
Statement 1 is wrong because a security has higher risk premium when it has a higher Beta, which means that when the standard deviation is linked to the market returns than it may have a higher risk premium, but just on the basis of standard deviation we can not make that decision.
Statement 3 is wrong because we do not know the risk premiums of both the stocks so we cannot calculate the sharpe ratio as is calculated by dividing the excess returns by the standard deviations of stocks.
Explanation:
Hello, you have not provided the data set, therefore, I will show you how to create a histogram in general for a randomly generated data set and you can apply the same technique to your data.
Answer and explanation:
A histogram is a graph representing the distribution of numerical data for one variable, the purpose of a histogram is to display useful quantitative data easy to read. In it, the heights of a bar represent the frequency for a group of values in our data set. For my 192 random generated values, between 0 and 103, I used the free web-based tool 'socscistatistics' to create the histogram, with this tool you can modify the number of classes accordingly to your need, for my case I used 8 classes what means that I divided the randomly generated set of number between 0 to 103 into eight groups.
Random data set:
7 81 5 67 37 92 71 60 92 12 86 88 20 57 72 18 96 70 91 63 75 10 11 4 74 87 17 60 88 61 94 35 18 81 55 1 33 94 91 13 36 95 55 67 73 77 84 16 51 47 71 20 97 7 74 68 33 73 46 25 25 54 87 30 52 34 13 19 32 80 74 22 23 98 75 22 58 12 5 84 88 73 4 58 43 25 69 32 27 87 60 27 51 53 86 61 51 64 51 70 6 42 18 11 41 64 41 9 96 61 47 41 75 41 27 42 90 68 53 31 23 92 31 85 94 37 18 48 47 32 63 55 15 15 68 46 70 54 85 79 23 68 64 58 22 52 43 19 49 73 1 12 30 85 63 40 7 61 33 34 10 74 2 28 29 7 99 72 36 53 75 56 56 56 33 99 60 71 19 71 90 16 66 65 90 52 9 32 60 96 62 76
(In your case take column D)
Answer:
Hi there what is your question
hope you have an awesome day
Explanation: