From the table below calculate GDP via expenditure and income methods.
Does Statistical Discrepancy exist (difference in GDP via both the methods)?
b Calculate GNP.
c Calculate national income and disposable personal income. What percentage of national income is disposable personal income?
d What percentage of disposable personal income is consumption expenditure?
(2+1+2+1)
|
|
Amount |
|
Wages |
6.0 |
|
Government expenditure |
2.0 |
|
Interest, rent, and profit |
2.4 |
|
Consumption expenditure |
7.4 |
|
Investment |
1.6 |
|
Net exports |
0 |
|
Indirect taxes less subsidies |
0.7 |
|
Retained profits |
1.6 |
|
Transfer payments |
1.3 |
|
Personal income taxes |
1.1 |
|
GNP |
10.5 |
|
Depreciation |
1.3 |
In: Economics
On Sept 30th, 2011, Exxon Mobil (XOM) stock was traded at $72.63 while the December XOM put option with $75 exercise price is traded at $5.00 and the December XOM call option with $70 exercise price is traded at $5.60. The put option's delta is -0.65 and the call option's delta is 0.7.
A) On October 3rd, XOM stock price changed to $71.15 on Oct 3rd, what will be the values of the put and call options?
B) Consider a portfolio composed of:
1,005 XOM stocks
20 Dec XOM Call options
37 Dec XOM Put options
What is the portfolio position delta?
C) Using the portfolio position delta, calculate the portfolio value before AND after the stock price change.
In: Finance
Intermediate Macroeconomic Question.
C = 120 + 0.7 (Y-T),
investment equation is I=200-10r, where r is the real interest rate while Taxes (T) and Government expenditure are 200 and 400 respectively. The real money demand function is expressed as m/p=0.1y -100r (units in million)
i) Solve for equilibrium real output and equilibrium interest rate
ii) Assume that autonomous investment increases by 300, compute the investment multiplier and analyze the new impact on income and consumption.
b) Use the Mundell- Fleming to show that under perfect mobility and flexible exchange rates, fiscal policy is ineffective.
c) Discuss the key assumptions of the Mundell - Fleming model.
In: Economics
Let x = red blood cell (RBC) count in millions per cubic millimeter of whole blood. For healthy females, x has an approximately normal distribution with mean μ = 3.5 and standard deviation σ = 0.7. Express answers to 2 decimal places.
(a) Convert the x interval, x > 4.5, to a
z interval.
z >
(b) Convert the x interval, x < 4.2, to a
z interval.
z <
(c) Convert the x interval, 4.0 < x < 5.5,
to a z interval.
< z <
(d) Convert the z interval, z < –1.44, to an
x interval.
x <
(e) Convert the z interval, z > 1.28, to an
x interval.
x >
(f) Convert the z interval, –2.25 < z <
–1.00, to an x interval.
< x <
In: Statistics and Probability
An oil exploration company currently has two active projects, one in Asia and the other in Europe. Let A be the event that the Asian project is successful and B be the event that the European project is successful. Suppose that A and B are independent events with P(A) = 0.7 and P(B) = 0.4.
(a) If the Asian project is not successful, what is the
probability that the European project is also not successful?
Explain your reasoning.
Since the events are independent, then A' and B' are not independent. Since the events are not independent, then A' and B' are mutually exclusive. Since the events are independent, then A' and B' are independent, too. Since the events are independent, then A' and B' are mutually exclusive.
(b) What is the probability that at least one of the two projects
will be successful?
(c) Given that at least one of the two projects is successful, what
is the probability that only the Asian project is successful?
In: Statistics and Probability
In a test of the effectiveness of garlic for lowering cholesterol, 36 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.7 and a standard deviation of 20.1. Use a 0.10 significance level to test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment? Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. What are the null and alternative hypotheses?
Determine the test statistic.
Determine the P-value.
In: Statistics and Probability
1.14. A service
facility consists of two servers in series (tandem), each with its
own FIFO
queue (see Fig. 1.50). A customer completing service at server 1
proceeds to server 2,
while a customer completing service at server 2 leaves the
facility. Assume that the
interarrival times of customers to server 1 are IID exponential
random variables with
mean 1 minute. Service times of customers at server 1 are IID
exponential random
variables with mean 0.7 minute, and at server 2 are IID exponential
random variables
with mean 0.9 minute. Run the simulation for exactly 1000 minutes
and estimate for
each server the expected average delay in queue of a customer, the
expected time-
average number of customers in queue, and the expected
utilization.
In: Statistics and Probability
|
Food |
Mass of fibre (grams per 100 grams) |
|
Beans |
3.6 |
|
Bread |
2.4 |
|
Soup |
0.7 |
|
Cornflakes |
2.5 |
|
Pasta |
3.0 |
In: Anatomy and Physiology
Given data from a completely randomized design experiment:
Treatment 1 = {3.8, 1.2, 4.1, 5.5, 2.3}
Treatment 2 = {5.4, 2.0, 4.8, 3.8}
Treatment 3 = {1.3, 0.7, 2.2}
a.) Calculate the treatment means and variances for each of the 3 treatments above.
b.) Use statistical software to complete the ANOVA table.
|
Source |
df |
SS |
MS |
F |
|
Treatment |
||||
|
Error |
||||
|
Total |
c.) In words, what is the null and alternative hypotheses for the ANOVA F-test?
d.) Test the null hypothesis that µ1=µ2=µ3against the alternative hypothesis that at least two means differ. Use α = .01.
e.) Explain in words what the ANOVA test tells us about the equality of treatment means?
In: Statistics and Probability
Consider the following US treasury rate table expressed in percentage.
|
Maturity t |
Yield R(0,t) |
Yesterday | Last Week | Last Month |
| 6 Month | 0.02 | 0.02 | 0.02 | 0.09 |
| 1 Year | 0.23 | 0.23 | 0.22 | 0.23 |
| 2 Year | 0.73 | 0.7 | 0.71 | 0.71 |
| 3 Year | 1.04 | 1.03 | 0.99 | 1.07 |
| 5 Year | 1.51 | 1.51 | 1.47 | 1.59 |
| 10 Year | 2.18 | 2.19 | 2.13 | 2.2 |
| 30 Year | 2.95 | 2.95 | 2.89 | 2.84 |
What is the the yield to maturity of a 2 year 5% bond with annual payments? (Hint: Use the General Formula to find the price first, then compute the yield to maturity)
|
.4837 |
|
|
.7182 |
|
|
.2323 |
|
|
.7321 |
In: Finance