BREXIT QUESTION
From a macroeconomic standpoint, what are the implications of the UK leaving the European Union in the global market? Is the pound expected to rise or fall and why? Economically speaking, does Brexit hurt the UK's relations with other nations around the world?
In: Economics
In: Finance
Choose one of the following to discuss in your original post:
After studying all the material and references in this module, reading other sources, and considering your professional public health experience, post your description of and reaction to these general principles. Are they clear? Do you think that most public health professionals would find them useful on a daily basis? Would you? Is that what they are for? Do any of the principles seem either particularly useful or particularly useless? Explain.
After reading the Principles of Ethical Practice of Public Health, do you think it is useful for public health to have its own set of principles? Are discipline-specific principles really necessary? Why or why not?
Read the articles:
|
In: Psychology
(Covering concepts for Chapter 3 and 8)
The following attached file presents the annual returns for two mutual funds offered by the investment giant Fidelity. The Fidelity Select Automotive Fund invests primarily in companies engaged in the manufacturing, marketing, or sales of automobiles, trucks, specialty vehicles, parts, tires and related services. The Fidelity Gold Fund invests primarily in companies engaged in exploration, mining, processing, or dealing in gold and, to a lesser degree, in other precious metals and minerals.
In a report, use the above information and attached file to
Example p. 314/ Note Use standard deviation as a measure of risk!
| Year | Automotive | Gold | |
| 2001 | 22.82 | 24.99 | |
| 2002 | -6.48 | 64.28 | |
| 2003 | 43.53 | 32.09 | |
| 2004 | 7.11 | -9.79 | |
| 2005 | -1.75 | 40.7 | |
| 2006 | 13.33 | 25.43 | |
| 2007 | 0.01 | 24.93 | |
| 2008 | -61.2 | -20.49 | |
| 2009 | 122.28 | 38 | |
| 2010 | 46.18 | 35.25 | |
| 2011 | -26.16 | -16.34 | |
| 2012 | 26.17 | -12.43 | |
| 2013 | 46.67 | -51.41 | |
| 2014 | 2.79 | -8.51 | |
| 2015 | 0.17 | -17.88 | |
| 2016 | -5.83 | 47.28 | |
In: Statistics and Probability
3.
(5.15) Manatees are large, gentle, slow-moving creatures found along the coast of Florida. Many manatees are injured or killed by boats. below contains data on the number of boats registered in Florida (in thousands) and the number of manatees killed by boats for the years between 1977 and 2013. (data are distorted):
| YEAR | BOATS | MANATEES | YEAR | BOATS | MANATEES | YEAR | BOATS | MANATEES | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1977 | 446 | 12 | 1989 | 712 | 50 | 2001 | 943 | 81 | |||
| 1978 | 458 | 22 | 1990 | 718 | 46 | 2002 | 964 | 95 | |||
| 1979 | 481 | 24 | 1991 | 683 | 53 | 2003 | 978 | 72 | |||
| 1980 | 497 | 15 | 1992 | 680 | 37 | 2004 | 982 | 70 | |||
| 1981 | 511 | 24 | 1993 | 677 | 36 | 2005 | 1010 | 79 | |||
| 1982 | 512 | 21 | 1994 | 697 | 48 | 2006 | 1025 | 91 | |||
| 1983 | 526 | 16 | 1995 | 711 | 42 | 2007 | 1029 | 73 | |||
| 1984 | 557 | 34 | 1996 | 732 | 60 | 2008 | 1010 | 90 | |||
| 1985 | 586 | 32 | 1997 | 753 | 54 | 2009 | 984 | 96 | |||
| 1986 | 615 | 33 | 1998 | 810 | 65 | 2010 | 942 | 84 | |||
| 1987 | 647 | 39 | 1999 | 830 | 81 | 2011 | 923 | 87 | |||
| 1988 | 674 | 44 | 2000 | 879 | 77 | 2012 | 904 | 82 | 2013 | 917 | 71 |
(a) Find the correlation rr (±±0.001)
rr =
(b) Find the equation of the least-squares line (±±0.001) for predicting manatees killed from thousands of boats registered.
yˆy^ = +xx
(c) What would you predict (±±0.1) number of manatees killed by boats to be if there are 900,000 boats registered?
(d) Predict (±±0.1) manatee deaths if there were no boats registered in Florida.
In: Statistics and Probability
Assignment 1( New Version)
You have the following data on quantity demand of commodity X and its price and other factors during 1991-2005:-
|
year |
Quantity ( Q) KG |
Expenditures ( M) NIS |
Price of X ( Px) NIS/KG |
Price of Substitutes (Py ) NIS/KG |
|
1991 |
4.0 |
400 |
9 |
10 |
|
1992 |
4.5 |
500 |
8 |
14 |
|
1993 |
5.0 |
600 |
9 |
12 |
|
1994 |
5.5 |
700 |
8 |
13 |
|
1995 |
6.0 |
800 |
7 |
11 |
|
1996 |
7.0 |
900 |
6 |
15 |
|
1997 |
6.5 |
1000 |
6 |
16 |
|
1998 |
6.5 |
1100 |
8 |
17 |
|
1999 |
7.5 |
1200 |
5 |
22 |
|
2000 |
7.5 |
1300 |
5 |
19 |
|
2001 |
8.0 |
1400 |
5 |
20 |
|
2002 |
10.0 |
1500 |
3 |
23 |
|
2003 |
9.0 |
1600 |
4 |
18 |
|
2004 |
9.5 |
1700 |
3 |
24 |
|
2005 |
8.5 |
1800 |
4 |
21 |
Based on the above data:-
4) Compute the predictable value of the dependent variable & the residuals?
5) How much the change in Px, Py and Expenditures ( M) explains the variations in Q?
6) Interpret the empirical results of the estimated equation?
7) Calculate demand elasticities at the mean.
8) Construct a confidence internal at 95% of estimated own price elasticity at the
mean and in the year of 2005?
10) Construct a confidence interval of the quantity demanded in the years 2005 and in
the year 2008 when Px=7, Py=3.5 ,Expenditures =1900
In: Statistics and Probability
| Year | Population in Millions | GDP in Trillions of US$ |
| 2014 | 318.86 | 16.29 |
| 2011 | 311.72 | 15.19 |
| 2010 | 309.35 | 14.94 |
| 2009 | 306.77 | 14.54 |
| 2008 | 304.09 | 14.58 |
| 2006 | 298.38 | 14.72 |
| 2004 | 292.81 | 13.95 |
| 2003 | 290.11 | 13.53 |
| 2002 | 287.63 | 12.96 |
| 2001 | 284.97 | 12.71 |
| 2000 | ||
| 1999 | 279.04 | 12.32 |
| 1998 | 275.85 | 11.77 |
| 1990 | 249.62 | 8.91 |
| 1989 | 246.82 | 8.85 |
| 1987 | 242.29 | 8.29 |
| 1986 | 240.13 | 7.94 |
| 1985 | 237.92 | 7.71 |
| 1984 | 235.82 | 7.4 |
| 1982 | 231.66 | 6.49 |
| 1981 | 229.47 | 6.59 |
| 1980 | 6.5 | |
| 1979 | 225.06 | 6.5 |
| 1977 | 220.24 | 6.02 |
| 1976 | 218.04 | 5.73 |
| 1975 | 215.97 | 5.49 |
| 1973 | 211.91 | 5.46 |
| 1972 | 209.9 | 5.25 |
| 1964 | 191.89 | 3.78 |
| 1963 | 189.24 | 3.6 |
| 1962 | 186.54 | 3.42 |
| 1961 | 183.69 | 3.28 |
| 1959 | 177.83 | 3.06 |
| 1958 | 174.88 | 2.92 |
| 1957 | 171.98 | 2.85 |
| 1956 | 168.9 | 2.84 |
| 1954 | 163.03 | 2.61 |
| 1953 | 160.18 | 2.54 |
| 1952 | 157.55 | 2.53 |
| 1951 | 154.88 | 2.4 |
| 1950 | 152.27 | 2.27 |
| 1949 | 149.19 | 2 |
| 1948 | 146.63 | 2.04 |
| 1947 | 144.13 | 1.96 |
Above is a CSV file from the file do the following:
(a) Subset the data to include only those from 1947 to 1964.
(b) Fit a linear regression model, M1, to model
population as a function of the
year using this data from 1947 to 1964.
(c) Predict the population for the missing years 1955 and
1960.
(d) Plot the population versus Year including the predicted values
for 1955 and 1960 in the range 1947 to 1964. The predicted values
must be annotated (marke
In: Statistics and Probability
The following table contains the historic returns from a
portfolio consisting of large stocks and a portfolio consisting of
long-term Treasury bonds over the last 20 years. T-bills returns
represent risk-free returns. Analyze the risk-return trade-off that
would have characterized these portfolios. The following dataset is
also available in Excel format in Module 3 Resources on Canvas.
Returns in the dataset are in percents. For example, 31.33 means
31.33% per year.
| Year | Large Stock | Long-Term T-Bonds |
T-Bills |
| 1997 | 31.33 | 11.312 | 5.26 |
| 1998 | 24.27 | 13.094 | 4.86 |
| 1999 | 24.89 | -8.4734 | 4.68 |
| 2000 | -10.82 | 14.4891 | 5.89 |
| 2001 | -11.00 | 4.0302 | 3.78 |
| 2002 | -21.28 | 14.6641 | 1.63 |
| 2003 | 31.76 | 1.2778 | 1.02 |
| 2004 | 11.89 | 5.1862 | 1.20 |
| 2005 | 6.17 | 3.1030 | 2.96 |
| 2006 | 15.37 | 2.2713 | 4.79 |
| 2007 | 5.50 | 9.6431 | 4.67 |
| 2008 | -36.92 | 17.6664 | 1.47 |
| 2009 | 29.15 | -5.8278 | 0.10 |
| 2010 | 17.80 | 7.4457 | 0.12 |
| 2011 | 1.01 | 16.6015 | 0.04 |
| 2012 | 16.07 | 3.5862 | 0.06 |
| 2013 | 35.18 | -6.9025 | 0.03 |
| 2014 | 11.37 | 10.1512 | 0.02 |
| 2015 | -0.19 | 1.0665 | 0.01 |
| 2016 | 13.41 | 0.7039 | 0.19 |
a. Estimate the annual risk premium of large
stocks and T-bonds, respectively.
b. Estimate the annual volatility of large stocks and long-term T-bonds, respectively.
c. Estimate the Sharpe ratio of large stocks and long-term T-bonds, respectively.
d. Now assume that you have always invested half of your wealth in the stock and the other half in the T-bonds. Estimate the Sharpe ratio of your portfolio.
In: Finance
1) Using the excel data file “US violent crime” which shows the violent crime rate in the US from 1960 to 2012:
(20 pts) Make a time series plot of the data
(5 pts each 25 pts total) Determine the following: Mean, Median, Standard deviation, Q1 and Q3. (25 pts)
Make a histogram of the data. Hint the year is not used, you need to determine how many years fall into each of the classes.
(7) What are your thoughts on the time series plot, i.e. trends etc.?
(8) Thoughts on the histogram i.e. shape of distribution etc.?
[Excel sheet]
| Year | Violent Crime rate |
| 1960 | 160.9 |
| 1961 | 158.1 |
| 1962 | 162.3 |
| 1963 | 168.2 |
| 1964 | 190.6 |
| 1965 | 200.2 |
| 1966 | 220.0 |
| 1967 | 253.2 |
| 1968 | 298.4 |
| 1969 | 328.7 |
| 1970 | 363.5 |
| 1971 | 396.0 |
| 1972 | 401.0 |
| 1973 | 417.4 |
| 1974 | 461.1 |
| 1975 | 487.8 |
| 1976 | 467.8 |
| 1977 | 475.9 |
| 1978 | 497.8 |
| 1979 | 548.9 |
| 1980 | 596.6 |
| 1981 | 593.5 |
| 1982 | 570.8 |
| 1983 | 538.1 |
| 1984 | 539.9 |
| 1985 | 558.1 |
| 1986 | 620.1 |
| 1987 | 612.5 |
| 1988 | 640.6 |
| 1989 | 666.9 |
| 1990 | 729.6 |
| 1991 | 758.2 |
| 1992 | 757.7 |
| 1993 | 747.1 |
| 1994 | 713.6 |
| 1995 | 684.5 |
| 1996 | 636.6 |
| 1997 | 611.0 |
| 1998 | 567.6 |
| 1999 | 523.0 |
| 2000 | 506.5 |
| 2001 | 504.5 |
| 2002 | 494.4 |
| 2003 | 475.8 |
| 2004 | 463.2 |
| 2005 | 469.0 |
| 2006 | 479.3 |
| 2007 | 471.8 |
| 2008 | 458.6 |
| 2009 | 431.9 |
| 2010 | 404.5 |
| 2011 | 387.1 |
| 2012 | 386.9 |
In: Statistics and Probability
| Average Oil Prices | |
| Year | Price per Barrel |
| 1949 | $2.54 |
| 1950 | $2.51 |
| 1951 | $2.53 |
| 1952 | $2.53 |
| 1953 | $2.68 |
| 1954 | $2.78 |
| 1955 | $2.77 |
| 1956 | $2.79 |
| 1957 | $3.09 |
| 1958 | $3.01 |
| 1959 | $2.90 |
| 1960 | $2.88 |
| 1961 | $2.89 |
| 1962 | $2.90 |
| 1963 | $2.89 |
| 1964 | $2.88 |
| 1965 | $2.86 |
| 1966 | $2.88 |
| 1967 | $2.92 |
| 1968 | $2.94 |
| 1969 | $3.09 |
| 1970 | $3.18 |
| 1971 | $3.39 |
| 1972 | $3.39 |
| 1973 | $3.89 |
| 1974 | $6.87 |
| 1975 | $7.67 |
| 1976 | $8.19 |
| 1977 | $8.57 |
| 1978 | $9.00 |
| 1979 | $12.64 |
| 1980 | $21.59 |
| 1981 | $31.77 |
| 1982 | $28.52 |
| 1983 | $26.19 |
| 1984 | $25.88 |
| 1985 | $24.09 |
| 1986 | $12.51 |
| 1987 | $15.40 |
| 1988 | $12.58 |
| 1989 | $15.86 |
| 1990 | $20.03 |
| 1991 | $16.54 |
| 1992 | $15.99 |
| 1993 | $14.25 |
| 1994 | $13.19 |
| 1995 | $14.62 |
| 1996 | $18.46 |
| 1997 | $17.23 |
| 1998 | $10.87 |
| 1999 | $15.56 |
| 2000 | $26.72 |
| 2001 | $21.84 |
| 2002 | $22.51 |
| 2003 | $27.54 |
| 2004 | $38.93 |
| 2005 | $46.47 |
| 2006 | $58.30 |
| 2007 | $64.67 |
| 2008 | $91.48 |
| 2009 | $53.48 |
| 2010 | $71.21 |
| 2011 | $87.04 |
| 2012 | $93.02 |
| 2013 | $97.91 |
| 2014 | $93.26 |
| 2015 | $48.69 |
| 2016 | $43.14 |
| 2017 | $50.88 |
a) Using the 1949 oil price and the 1969 oil price, compute the annual growth rate in oil prices during the 20 yr period. b) Compute the growth rate between 1969 & 1989 and between 1989 & 2017. c) given the price in 2017 and your growth rate between 1989 and 2017 compute the future price of oil in 2020 & 2025.
In: Finance