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- 1. Suppose the interest rate coefficient in the regression analysis is positive. Which of the following is true? a. The bank is insulated from interest rate changes. b. The bank will be adversely affected if interest rates increase. c. The bank will be adversely affected if interest rates decrease. d. None of the answers are correct. 2. Which of the following statements are correct? [you can select more than 1 answer] * a. If banks hold more capital, they can more easily absorb potential losses and are more likely to survive. b. Asset quality covers an institutional loan's quality which reflects the earnings of the institution. c. Management assessment determines whether an institution is able to properly react to financial stress. d. Examiners assess an institution's sensitivity to market risk by monitoring the management of credit concentrations.7. In the space provided below, discuss the AE (Keynesian cross), AD/AS, and ADI- IA models. What do they have in common? How do they differ? Which model do you prefer? Why? Pick one of the models and explain how you would use it to analyze the Bank of Canada’s recent hikes of the overnight rate target. Assume that the economy is experiencing an inflationary (expansionary) gap before the Bank of Canada decides to hike rates.3. Life ExpectancyWe have considered a regression equation to predict life expectancy from percent of government expenditure on health care, using data for a sample of 50 countries in SampCountries. Using technology and this dataset, find a 95% prediction interval for each of the following situations. (a) A country which puts only 3% of its expenditure into health care. Round your answers to one decimal place. (b) A country which puts 10% of its expenditure into health care. Round your answers to two decimal places. (c) A country which puts 50% of its expenditure into health care. Round your answers to two decimal places. Country Health LifeExpectancy Iceland 15.76 83.1 Kazakhstan 10.90 70.5 Lesotho 14.48 49.3 Uzbekistan 9.68 68.2 Peru 14.75 74.8 Iraq 5.99 69.5 Nicaragua 20.89 74.8 Zambia 12.57 58.1 Guinea-Bissau 7.79 54.3 Romania 12.17 74.5 United States 20.71 78.8 Sierra Leone 11.41 45.6 Malta 13.29 80.7 Luxembourg 13.64 81.8 Micronesia, Fed. Sts.…
- Need assistance with question 2 iv, v. I already got help with i, ii, iiiQuestion 1 Consider the CCAPM model and the following equation for the price of an asset in equilibrium: 1 C: (mi+1, Tt+1) + -E: (x+1), 1+Rf Pt = is the price of the asset at time t; x++1 is the payoff of the asset at time t+1; Rf indicates the return on the risk-free asset; m+1 is the stochastic discount factor; and E, and C; denote the conditional expectation and the conditional covariance given time-t information, respectively. where Pt Which of the following is true? A) The asset sells at a premium and the covariance term in the equation above is positive B) The asset sells at a premium and the covariance term in the equation above is positive if the asset gives a high payoff when consumption is low C) The asset sells at a premium and the covariance term in the equation above is positive if th asset gives a high payoff when consumption is high D) The asset sells at a premium and the covariance term in the equation above is negative if the asset gives a high payoff when consumption…A cellphone provider has the business objective of wanting to determine the proportion of subscribers who would upgrade to a new cellphone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample of 600 subscribers. The results indicate that 131 of the subscribers would upgrade to a new cellphone at a reduced cost. Reducing the price will be profitable if at least 20% of the subscribers would upgrade. Complete parts (a) and (b) below. Question content area bottom Part 1 a. At the 0.01 level of significance, is there evidence that more than 20% of the customers would upgrade to a new cellphone at a reduced cost? Determine the null hypothesis, H0, and the alternative hypothesis, H1. A. H0: π=0.20 H1: π≠0.20 B. H0: π≥0.20 H1: π<0.20 C. H0: π≤0.20 H1: π>0.20 D. H0: π≠0.20 H1: π=
- Question 1 part D2. A town has a population of 8400 in the year 1990. Fifteen years later, its population grew to 12,500. A) Determine the growth rate of this town's population. B) Predict the population in the town in the year 2050. C) In which year would the town's population be just above 20,000? D) If this model were valid until only the year 2090, determine the domain and range of this model.Question 6 Having studied Fixed Income Securities, you are now working as an analyst for a well known bond fund. Your manager asks you to replicate the JP Morgan T-Bond Index using a tracking error minimization approach. You are to replicate this index as closely as possible using a medium duration Treasury bond (M-BOND) and a long duration Treasury bond (L-BOND). These expire in approximately 7.15 years’ and 29.25 years’ time respectively. The following variance-covariance matrix, based on daily returns over the preceding six months, is given to you to use in your replication: Note: As usual, variances are given on the diagonal, e.g. the variance of M-BOND is 0.0042%. As usual, covariances appear in the non-diagonal elements, e.g. the covariance of M-BOND and L-BOND is 0.0057%. (a) Suppose the optimal weights for M-BOND and L-BOND are 0.7 and 0.3. Calculate the expected tracking error of the portfolio and explain how you interpret this number. (b) Calculate the correlation matrix…