Answer:
The future value in 5 years is $3,184.87
Explanation:
The figure is arrived by calculating the future of the yearly total service of $600($3*200) by using applicable annuity factor for each of the years from year 1 to 5.
The annuity factor for each year is calculated as (1+r)^n, where r is the rate of return of 2% and the n the year in which the service fee relates to.
Kindly find attached for detailed computations.
Answer:
I think Sears need to stop diversifying its product too much and focus on improving internal human resources.
Explanation:
The largest expense that Sears made occurred during their effort to add more female customers to shop at their place.
Sears was known for its DieHard, Craftsman and Kenmore brands that attract mostly male customers to their stores. They started “The Softer Side of Sears” which focused on adding more products for female customers.
But, in the process of doing so, Sears neglected their already successful male products department with a lot of employees who sacrifice a lot of their time and effort into making Sears as big as it is.
In order to restore to its former glory, Sears need to stop focusing on new market with a lot of strong competitors and focused on improving skill set of employees in their successful department. They can do this by investing in their education, increasing the budget for their research and development, etc.
Answer:
Yield to maturity is 3.94%
Explanation:
Yield to maturity is the annual rate of return that an investor receives if a bond bond is held until the maturity.
Face value = F = $1,000
Coupon payment = $1,000 x 9% = $90/2 = $45 semiannually
Selling price = P = $1080
Number of payment = n = 10 years x 2 = 20
Yield to maturity = [ C + ( F - P ) / n ] / [ (F + P ) / 2 ]
Yield to maturity = [ $45 + ( 1000 - 1080 ) / 20 ] / [ (1,000 + 1080 ) / 2 ]
Yield to maturity = [ $45 - 4 ] / 1040 = $41 /1040 = 0.394 = 3.94%
Answer and explanation:
Regression coefficients portrait the changes in variables after one unit has changed keeping the rest of the predictors of the model the same. While the <em>simple linear regression</em> is predicted from one variable, the <em>multiple regression</em> is predicted for more than one of them.
Answer:
the price of bonds will tend to
fall!
Explanation:
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fall!investment the price of bonds will tend to
fall!the price of bonds will tend to
fall!investment = depreciationinvestment = depreciationinvestment = depreciationthe price of bonds will tend to
fall!investment = depreciationinvestment = depreciationinvestment = depreciationinvestment = depreciationinvestment = depreciation depreciation
