Answer:
b. False
Explanation:
Equity carve- out is an investment strategy executed by corporations. It involves a company selling minority shares through an Initial Public Offerring (IPO) to the external investors with an objective of partially divesting their subsidiaries or business units . This way, the management would retain majority stake and control over the parent company and sell limited shares of its division to the public.
Answer:
$280
Explanation:
Given that Sales = $3,060
Minus: Cost of goods sold = $1,800
Gross Profit = $1,260
Minus: Operating expenses is = $600
Thus Operating profit is = $660
Minus: Interest = $146
Profit before tax = $514
Tax at 40% = $514 * 0.4 = $206
Net income (Income after-tax) = $308
Minus: Preferred stock dividend = $28
Earnings available to common stockholders = $280
Hence, in this situation, the correct answer is $280 per share
Answer:
creo que son 600000 pero no estoy segura busca en otro sitio
The answer is Cash Price Minus Down Payment
For Example if you want to Borrow $ 10,000 for Loan, and for that you have to pay for a $500 Down Payment.
The amount financed is 10,000 - 500 = $ 9,500
Answer:
a. The intercept terms beta0 depicts the minimum amount of salary that a person will be earning if the person is not a college graduate. beta1 depicts that if a person is a college graduate, then the salary of the person increases by \beta 1 units.
b. The error term include all other variables impacting salary of the person other than the the person being a college graduate.
c. The independent variable X will be endogenous when salary plays an important role in determination of whether a person is college graduate.
d. yes, independent variable can be endogenous in some cases when dependent variable Y is impacting the independent variable X.
e. Endogeneity can lead to relaxation of one of the important assumption of Ordinary Least Squares (OLS) which considers independent variable to be endogenous. This will lead to the problem of multi collinearity. The Simultaneous Equation model can be used in this case rather than OLS model.
Explanation: