Compare two major foreign policy in the US initiatives in the interwar years (1920s and 1930s) with those that arose in the postwar years (WW2) (Late-1940s, 1950s, and 1960s). Please discuss at least two policy details from each era, and defend their importance
In: Economics
the first category known as the "Great Man" phase, focused on the traits that make an effective leader. this period range from circa 450 B.C. to the 1940s, and includes classic examples such as the aforementioned Egyptian period and the expansive influence of the Roman Empire.
need your help
In: Operations Management
Ross Co., Westerfield, Inc., and Jordan Company announced a new agreement to market their respective products in China on July 18, February 12, and October 7, respectively. Given the information below, calculate the cumulative abnormal return (CAR) for these stocks as a group. Assume all companies have an expected return equal to the market return. (A negative value should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Do not round intermediate calculations. Round your answers to 1 decimal place.)
| Ross Co. | Westerfield, Inc. | Jordan Company | ||||||||
| Date | Market Return |
Company Return |
Date | Market Return |
Company Return |
Date | Market Return |
Company Return |
||
| July 12 | –0.2 | –0.4 | Feb 8 | –0.7 | –0.9 | Oct 1 | 0.3 | 0.5 | ||
| July 13 | 0.1 | 0.3 | Feb 9 | –0.8 | –0.9 | Oct 2 | 0.2 | 0.8 | ||
| July 16 | 0.6 | 0.8 | Feb 10 | 0.6 | 0.4 | Oct 3 | 0.9 | 1.3 | ||
| July 17 | –0.4 | –0.2 | Feb 11 | 0.8 | 1.0 | Oct 6 | –0.1 | −0.5 | ||
| July 18 | –1.9 | 1.3 | Feb 12 | –0.1 | 0.1 | Oct 7 | –2.4 | −0.5 | ||
| July 19 | –0.8 | –0.6 | Feb 15 | 1.3 | 1.4 | Oct 8 | 0.3 | 0.3 | ||
| July 20 | –0.9 | –1.0 | Feb 16 | 0.7 | 0.7 | Oct 9 | –0.5 | −0.4 | ||
| July 23 | 0.6 | 0.4 | Feb 17 | –0.1 | 0.0 | Oct 10 | 0.1 | −0.1 | ||
| July 24 | 0.1 | 0.0 | Feb 18 | 0.5 | 0.4 | Oct 13 | –0.2 | −0.6 | ||
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In: Finance
1. Emily, Car, Stock Market, Sweepstakes, Vacation and Bayes.
Emily is taking Bayesian Analysis course. She believes she will get an A with probability 0.6, a B with probability 0.3, and a C or less with probability 0.1. At the end of semester, she will get a car as a present form her uncle depending on her class performance. For getting an A in the course Emily will get a car with probability 0.8, for B with probability 0.5, and for anything less than B, she will get a car with probability of 0.2. These are the probabilities if the market is bullish. If the market is bearish, the uncle is less likely to make expensive presents, and the above probabilities are 0.5, 0.3, and 0.1, respectively. The probabilities of bullish and bearish market are equal, 0.5 each. If Emily gets a car, she would travel to Redington Shores with probability 0.7, or stay on campus with probability 0.3. If she does not get a car, these two probabilities are 0.2 and 0.8, respectively. Independently, Emily may be a lucky winner of a sweepstake lottery for a free air ticket and vacation in hotel Sol at Redington Shores. The chance to win the sweepstake is 0.001, but if Emily wins, she will go to vacation with probability of 0.99, irrespective of what happened with the car.
After the semester was over you learned that Emily is at
Redington Shores.
(a) What is the probability that she won the
sweepstakes?
In: Statistics and Probability
The table below lists weights (carats) and prices (dollars) of randomly selected diamonds. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with a diamond that weighs 0.8 carats.
Weight Price
0.3 520
0.4 1171
0.5 1336
0.5 1425
1.0 5671
0.7 2278
In: Statistics and Probability
X= weight of copper
Y=Actual Price of Copper in (USD)
x : 0.3 0.4 0.5 0.5 1.0 0.7
y : 510 1151 1343 1410 5669 2277
(a) Find the regression equation for the data points given.
(b) Determine the percentage of variation in price of Copper y that is explained by the weight x.
(c) Is it reasonable to predict the price of a 0.8 grams of copper using this model?
(d) Is it reasonable to predict the price of a 1.5 grams of copper using this model?
This is strictly to check answers.
In: Statistics and Probability
The following table contains annual returns for the stocks of ABC Corp. (ABC) and Company B (B). The returns are calculated using end-of-year prices (adjusted for dividends and stock splits). Use the information for ABC Corp. (ABC) and Company B (B) to create an Excel spreadsheet that calculates the average returns over the 10-year period for portfolios comprised of ABC and B using the following, respective, weightings: (1.0, 0.0), (0.9, 0.1), (0.8, 0.2), (0.7, 0.3), (0.6, 0.4), (0.5, 0.5), (0.4, 0.6), (0.3, 0.7), (0.2, 0.8), (0.1, 0.9), and (0.0, 1.0). The average annual returns over the 10-year period for ABC and B are 15.03% and 12.78% respectively. Also, calculate the portfolio standard deviation over the 10-year period associated with each portfolio composition. The standard deviation over the 10-year period for ABC Corp. and Company B and their correlation coefficient are 25.87%, 22.95%, and 0.84123 respectively.
(Hint: Review Table 5.2.)
Year ABC Corp. Company B
2005 -5.3 17.2
2006 1.1 -8.1
2007 -32.7 -26.7
2008 -10.3 -3.4
2009 30.9 10.7
2010 24.9 9.9
2011 22.7 5.2
2012 52.1 42.3
2013 37.8 41.5
2014 29.1 39.2
In: Finance
Q= aLB1FB2KB3
Where Fuel input in gallons = F
Capital input in number of busses = K
Labor input in worker hours = L
Output in millions of bus miles = Q
We estimate the various parameters as follows using historical data:
α=0.0012, β1=0.45, β2=0.2, β3=0.3
a) Determine output elasticities for Labor.
b) Suppose that labor hours increase by 10%. By what percentage will output increase?
In: Statistics and Probability
You are required to show your work on each problem on this exam. The following rules apply:
Clearly and neatly present and show your work for each problem.
Mysterious or unsupported answers will not receive full credit. A correct answer, unsupported by calculations, explanation, or other work will receive no credit; an incorrect answer supported by substantially correct calculations and explanations might still receive partial credit.
MARIGINAL AND JOINT DISTRIBUTIONS
The joint distribution of X and Y is as follows.
|
Values of Y |
||||
|
1 |
0 |
P{X=x} |
||
|
Values of X |
1 |
0.1 |
0.2 |
0.3 |
|
0 |
0.3 |
0.4 |
0.7 |
|
|
P{Y=y} |
0.4 |
0.6 |
1.0 |
|
a. Find the marginal distribution of X and Y.
b. Find the conditional distribution of X given y = 1
c. Compute the conditional expectation of Y given X=1, E{Y=y|X=1}
In: Statistics and Probability
The local movie theater industry has a demand curve of P=26-.2Q for a movie showing (please note the decimal in front of the 2). It has a supply curve (MC curve) of $2, because the theater figures for each customer there will be a cleanup cost afterwards. In reality, a theater might sell food and drinks for extra profits, but this one does not.
In: Economics