The data below is the total spending (in millions of dollars) on drugs and other non-durable products for your assigned state (or DC). You need to convert this data to spending per capita in constant 2019 dollars.
Go to the FRED database at https://fred.stlouisfed.org/
Search for the PCEPI. Change the frequency to annual. Using that price index (this is a national index; there isn't a PCE index for each state), convert the following to 2019Q3 dollars.
Again using the FRED database, find the population for your state. The symbol is usually the two letter abbreviation for the state and POP. New York, for example, would be NYPOP.
Using this information, covert the spending below into spending per capita, in 2019Q3 dollars. Keep in mind that the values below are in millions of dollars and you want your answers in dollars.
Enter your results for every even-numbered year in the answer
| Your assigned state: |
Alaska
| Year | Total spending on drugs and other non-durable products (millions of dollars) |
| 1991 | 142 |
| 1992 | 149 |
| 1993 | 153 |
| 1994 | 162 |
| 1995 | 156 |
| 1996 | 179 |
| 1997 | 209 |
| 1998 | 229 |
| 1999 | 262 |
| 2000 | 290 |
| 2001 | 317 |
| 2002 | 358 |
| 2003 | 411 |
| 2004 | 425 |
| 2005 | 455 |
| 2006 | 499 |
| 2007 | 531 |
| 2008 | 524 |
| 2009 | 503 |
| 2010 | 485 |
| 2011 | 480 |
| 2012 | 468 |
| 2013 | 430 |
| 2014 | 471 |
In: Economics
The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows.
| Year | Period | Budget ($ billions) |
|---|---|---|
| 1988 | 1 | 3.03 |
| 1989 | 2 | 3.29 |
| 1990 | 3 | 3.56 |
| 1991 | 4 | 4.41 |
| 1992 | 5 | 4.36 |
| 1993 | 6 | 4.51 |
| 1994 | 7 | 4.65 |
| 1995 | 8 | 5.15 |
| 1996 | 9 | 5.34 |
| 1997 | 10 | 5.66 |
| 1998 | 11 | 6.01 |
| 1999 | 12 | 6.30 |
| 2000 | 13 | 6.58 |
| 2001 | 14 | 6.75 |
| 2002 | 15 | 6.56 |
| 2003 | 16 | 6.78 |
| 2004 | 17 | 6.98 |
| 2005 | 18 | 7.65 |
| 2006 | 19 | 8.38 |
| 2007 | 20 | 8.57 |
| 2008 | 21 | 8.76 |
| 2009 | 22 | 8.43 |
| 2010 | 23 | 8.33 |
| 2011 | 24 | 8.76 |
(a)
Construct a time series plot.
What type of pattern exists in the data?
The time series plot shows a horizontal pattern.
The time series plot shows a nonlinear trend.
The time series plot shows a seasonal pattern.
The time series plot shows a linear trend.
(b)
Develop a linear trend equation for this time series to forecast the budget (in billions of dollars). (Round your numerical values to three decimal places.)
Tt =
(c)
What is the forecast (in billions of dollars) for period 25? (Round your answer to two decimal places.)
$ _______ billion
In: Statistics and Probability
The following table repeats the annual total returns on the MSCI Germany Index previously given and also gives the annual total returns on the JP Morgan Germany five- to seven-year government bond index (JPM 5–7 Year GBI, for short). During the period given in the table, the International Monetary Fund Germany Money Market Index (IMF Germany MMI, for short) had a mean annual total return of 4.33 percent. Use that information and the information in the table to answer the following questions.
| Year | MSCI Germany Index (%) | JPM Germany 5-7 Year GBI (%) |
| 1993 | 46.21 | 15.74 |
| 1994 | -6.81 | -3.40 |
| 1995 | 8.04 | 18.30 |
| 1996 | 22.87 | 8.35 |
| 1997 | 45.90 | 6.65 |
| 1998 | 20.32 | 12.45 |
| 1999 | 41.20 | -2.19 |
| 2000 | -9.53 | 7.44 |
| 2001 | -17.75 | 5.55 |
| 2002 | -43.06 | 10.27 |
a) Using the IMF Germany MMI as a proxy for the risk-free return, calculate the Sharpe ratio for:
(i) the 60/40 equity/bond portfolio described in Problem 12.
(ii) the MSCI Germany Index.
(iii) the JPM Germany 5–7 Year GBI.
b) Contrast the risk-adjusted performance of the 60/40 equity/bond portfolio, the MSCI Germany Index, and the JPM Germany 5–7 Year GBI, as measured by the Sharpe ratio.
In: Finance
Throughout 2019, H had 15,000,000 shares of common stock issued and outstanding and 100,000 shares of 5%, $100 par value cumulative preferred stock issued and outstanding. H's net income for 2019 was $7,700,000. During 2019 H neither declared nor paid any kind of dividend. H's income tax rate is 25%.
What will H report as basic EPS for the year ended 12-31-19?
What will H report as diluted EPS for the year ended 12-31-19?
In: Finance
Use the procedure outlined in Section 11.6.2 on p.262 of textbook and the annual percentage default rate for all rated companies in Table 11.6 on p.259,
a. Estimate the probability of default (PD) and default correlation (ρ) for the period 1970-1993, and for the period 1994-2016 separately.
b. Plot the probability distribution of default rate (similar to Figure 11.6 on p.263) for the time period 1970-1993 and 1994-2016 together on the same graph.
| 970 | 2.631 |
| 1971 | 0.286 |
| 1972 | 0.453 |
| 1973 | 0.456 |
| 1974 | 0.275 |
| 1975 | 0.361 |
| 1976 | 0.176 |
| 1977 | 0.354 |
| 1978 | 0.354 |
| 1979 | 0.088 |
| 1980 | 0.344 |
| 1981 | 0.162 |
| 1982 | 1.04 |
| 1983 | 0.9 |
| 1984 | 0.869 |
| 1985 | 0.952 |
| 1986 | 1.83 |
| 1987 | 1.423 |
| 1988 | 1.393 |
| 1989 | 2.226 |
| 1990 | 3.572 |
| 1991 | 2.803 |
| 1992 | 1.337 |
| 1993 | 0.899 |
| 1994 | 0.651 |
| 1995 | 0.899 |
| 1996 | 0.506 |
| 1997 | 0.616 |
| 1998 | 1.137 |
| 1999 | 2.123 |
| 2000 | 2.455 |
| 2001 | 3.679 |
| 2002 | 2.924 |
| 2003 | 1.828 |
| 2004 | 0.834 |
| 2005 | 0.647 |
| 2006 | 0.593 |
| 2007 | 0.349 |
| 2008 | 2.507 |
| 2009 | 4.996 |
| 2010 | 1.232 |
| 2011 | 0.906 |
| 2012 | 1.23 |
| 2013 | 1.232 |
| 2014 | 0.939 |
| 2015 | 1.732 |
| 2016 | 2.149 |
Textbook Risk Management and Financial Institutions, 5th Edition
In: Finance
Create an application named Rusty2 that asks the user for the dealer cost of a car, and the cleaning cost, and then displays the retail cost. Your application should simply send the dealer cost and cleaning cost to the getRetailPrice method in the Dealership class to obtain the retail cost.
here below is the dealership class code amd meed to create rusty2 code
import java.util.Calendar;
public class Dealership {
// public static final class variables
public static final int YEAR_STARTED = 1995;
public static final String COMPANY_NAME = "The Rusty Lemon";
public static final String COMPANY_URL =
"www.TheRustyLemon.com";
public static final String COMPANY_ADDRESS = "123 Rustbelt Road,
Somewhere, SomeState, 12345";
public static final String COMPANY_SLOGAN = "Many parts of our cars
run great!";
public static final double STANDARD_MARKUP = 0.50;
public static final String COMPANY_EMAIL =
"[email protected]";
// public static methods
public static String getCompanyBanner() {
return COMPANY_NAME + "\n(Selling rusty lemons since "
+ YEAR_STARTED + ")\n" + COMPANY_ADDRESS + "\n"
+ COMPANY_URL + "\n" + COMPANY_SLOGAN + "\n";
}
public static double getRetailPrice(double dealerCost, double cleaningCost) {
double markup = dealerCost * STANDARD_MARKUP;
return dealerCost + cleaningCost + markup;
}
public static int getYearsInBusiness()
{
int currentYear = Calendar.getInstance().get(Calendar.YEAR);
int yearsInBusiness = currentYear - YEAR_STARTED;
return yearsInBusiness;
}
}
In: Computer Science
4. In late 1994 there was a political and financial crisis in Mexico. Foreign investors withdrew their funds from the country while Mexicans pulled their money out of domestic banks and switched to foreign assets. The Mexican central bank at that time maintained a fixed peso/dollar exchange rate (P/$).
a. Show on a graph the situation that the Mexican central bank faced in the foreign exchange market and explain what it was required to do.
b. Explain how the central bank’s actions affected the Mexican money supply.
c. In early 1995 the Mexican government had to abandon the fixed rate, and the peso depreciated. What would have prompted this move? d. Was the depreciation beneficial for the Mexican economy? (Hint: is there a single answer to this question?)
5. The demand and supply of foreign exchange in the Eurozone (the European countries that use the euro) are given by:
QD = 36 – 6 (e)
QS = 18 + 3 (e), where e = €/$, the price of a U.S. dollar in Euros
a. If the exchange rate is set in the foreign exchange markets, what will the exchange rate be?
b. The European Central Bank (ECB) plans to fix the exchange rate at 3 €/$. What must the ECB do to maintain the exchange rate at this level?
c. What will be the impact on the Eurozone’s money supply?
d. What could the ECB do to reverse the impact of the foreign exchange market operation?
In: Economics
The table contains real data for the first two decades of AIDS reporting.
| Year | # AIDS cases diagnosed | # AIDS deaths |
| Pre-1981 | 91 | 29 |
| 1981 | 319 | 121 |
| 1982 | 1,170 | 453 |
| 1983 | 3,076 | 1,482 |
| 1984 | 6,240 | 3,466 |
| 1985 | 11,776 | 6,878 |
| 1986 | 19,032 | 11,987 |
| 1987 | 28,564 | 16,162 |
| 1988 | 35,447 | 20,868 |
| 1989 | 42,674 | 27,591 |
| 1990 | 48,634 | 31,335 |
| 1991 | 59,660 | 36,560 |
| 1992 | 78,530 | 41,055 |
| 1993 | 78,834 | 44,730 |
| 1994 | 71,874 | 49,095 |
| 1995 | 68,505 | 49,456 |
| 1996 | 59,347 | 38,510 |
| 1997 | 47,149 | 20,736 |
| 1998 | 38,393 | 19,005 |
| 1999 | 25,174 | 18,454 |
| 2000 | 25,522 | 17,347 |
| 2001 | 25,643 | 17,402 |
| 2002 | 26,464 | 16,371 |
| Total | 802,118 | 489,093 |
1.) Graph “year” versus “# AIDS cases diagnosed” (plot the scatter plot). Do not include pre-1981 data. In excel using formula's
2.) Find the regression equation, Interpret slope, Find r. and Describe linear correlation.
3.) When x = 1985, ŷ = _____
When x = 1990, ŷ =_____
When x = 1970, ŷ =______ Why doesn’t this answer make sense?
4.) What does the correlation imply about the relationship between time (years) and the number of diagnosed AIDS cases reported in the U.S.?
In: Statistics and Probability
The Omega’s Positioning Strategy Priced in excess of $2,000, the luxury watch industry is dependent on promotions and product features to attract the consumer. Omega SA (Omega), the third largest luxury watch maker in the world, is the pioneer of celebrity endorsement in the luxury watch industry. The company, which introduced celebrity endorsement in 1995, has featured many charming young men and women confirming Omega as the watch of their choice. The chosen brand ambassadors have been leaders in the field of fashion, sports and the performing arts. Apart from celebrity endorsements, Omega associates itself with, and ensures its product placement with landmark events. The case also traces the evolution of Omega’s advertising strategy. With luxury watches growing in popularity as a status and lifestyle statement, Omega is looking beyond the mature markets of Europe and America, to the new developing markets in the Middle East, India and China. It has unveiled a strategy tailored to drive growth in these promising markets. Q. 5. Luxury watch brands like Rolex are already well established in the Middle Eastern, Indian and Chinese markets. What shall be the competitive strategy by Omega to make this brand a success in the new markets? Q. 6. Keeping in mind the cultural changes of Western and Eastern countries, what challenges for the Demographic, Social and Psychographic Factors Omega has to face in the target markets? Q. 7. With reference to advertising, do you suggest that Omega should continue the same advertising strategy in the new markets?
In: Economics
| As the climate grows warmer, we expect many animal species to move towards the poles in an attempt to maintain their |
| preferred temperature range. Do data on fish in the North Sea confirm this expectation? Data for 25 years, 1977 through 2001, |
| on mean winter temperatures at the bottom of the North Sea (degrees Celsius) and on the center of the distribution of anglerfish |
| in degrees of North latitude are given below. Does the fish distribution depend on temperature? |
| Year | Degrees North Latitude | Temp (oC) |
| 1977 | 57.20 | 6.26 |
| 1978 | 57.96 | 6.26 |
| 1979 | 57.65 | 6.27 |
| 1980 | 57.59 | 6.31 |
| 1981 | 58.01 | 6.34 |
| 1982 | 59.06 | 6.32 |
| 1983 | 56.85 | 6.37 |
| 1984 | 56.87 | 6.39 |
| 1985 | 57.43 | 6.42 |
| 1986 | 57.72 | 6.52 |
| 1987 | 57.83 | 6.68 |
| 1988 | 57.87 | 6.76 |
| 1989 | 57.48 | 6.78 |
| 1990 | 58.13 | 6.89 |
| 1991 | 58.52 | 6.9 |
| 1992 | 58.48 | 6.93 |
| 1993 | 57.89 | 6.98 |
| 1994 | 58.71 | 7.02 |
| 1995 | 58.07 | 7.09 |
| 1996 | 58.49 | 7.13 |
| 1997 | 58.28 | 7.15 |
| 1998 | 58.49 | 7.29 |
| 1999 | 58.01 | 7.34 |
| 2000 | 58.57 | 7.57 |
| 2001 | 58.90 | 7.65 |
a)
| Ho: | |
| Ha: | |
| test-statistic: | |
| df: | |
| Exact P value for the test-statistic | |
| Conclusion relative to the hypothesis: | |
| ts= ,df= ,P= |
b)
| What is the equation for the regression? |
c)
|
What is the estimate of the amount of variance in Y which is due to its regression on the independent variable? |
In: Math