Questions
The data below is the total spending (in millions of dollars) on drugs and other non-durable...

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)...

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...

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...

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%.

  • During the entire year ending 12-31-19, H had 750,000 outstanding and exercisable employee stock options that were granted to employees during 2016. Each option has an exercise price of $40 per share of H common stock. During 2019, the average market price of H's common stock was $60 per share.
  • As of 12-31-19, H had $3,000,000 of 6%, 15-year convertible bonds. H issued the bonds at par during 2005. The bonds can be converted into 40,000 shares of H's common stock.
  • As of 12-31-19, H had $40,000,000 of 8%, 40-year convertible bonds. H issued the bonds at par during 1995. The bonds can be converted into 300,000 shares of H's common stock.

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...

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,...

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...

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. Adults and Adolescents...

The table contains real data for the first two decades of AIDS reporting.

Adults and Adolescents only, United States
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...

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...

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