Answer:
1.The money demand will rise by 1.154%
2. The money demanded will fall and for a 1% increase in interest , the money demanded will fall by 0.38%
Explanation:
1. Money demand function
ln(m) = β0 +β1 ln(GDP)+β2R
Suppose β1 = 1.5 , β2 = −0.04 , GDP = $ 100 & R = 3%
ln(m) = 1.5 ln ($100) - 0.04 X 0.03
ln(m) = 6.91
m = 1002.247
Suppose the GDP increases by 1%; the new GDP will be = $ 101
ln(m) = 1.5 ln ($101) - 0.04 X 0.03
ln(m) = 6.92
m = 1013.81
If the GDP increases by 1% ,the money demand will rise by 1.154%
2.
If the interest rate increases from 3% to 4%
ln(m) = 1.5 ln ($100) - 0.04 X 0.04
ln(m) = 6.906155
m = $ 998.400
If the interest rate rises from 3% to 4% , the money demanded will fall and for a 1% increase in interest , the money demanded will fall by 0.38%
Answer:
True
Explanation:
For a stock to be in equilibrium, two conditions are necessary:
(1) The stock's market price must equal its intrinsic value as seen by the marginal investor;
(2) the expected return as seen by the marginal investor must equal his or her required return.
Answer:
Description
Explanation:
The cluster analysis refer to an activity in which there is a group of objectives set that shows the objects in the similar group that we called as a cluster
Here in the given situation, it is mentioned that the use of descriptor variables is used for cluster analysis in order to make a difference in sub samples
So here the description step is used in cluster analysis
Therefore the third option is correct
Answer:
B) NDPFC + Indirect Taxes
Explanation:
Net domestic product (NDP) is obtained by subtracting depreciation from gross domestic product (GDP), and it can be calculated at market price (NDPmp) or at factor cost (NDPfc):
- NDPmp = GDPmp – depreciation
- NDPfc = GDPmp – depreciation – indirect taxes
If we substitute NDPfc into option B, we will get:
NDPmp = NDPfc + indirect taxes
NDPmp = (GDPmp - depreciation - indirect taxes) + indirect taxes
NDPmp = GDPmp - depreciation
Answer:
0.5
Explanation:
Zscore = (x - mean) / standard deviation
Given the data:
X : 462 490 350 294 574
The second observation = 490
The mean and standard deviation of the data could be obtained using a calculator :
Mean = 434
standard deviation = 112
ZSCORE = (490 - 434) / 112
ZSCORE = 56 / 112
ZSCORE = 0.5