Answer:
The expected return = 10.739.
Explanation:
Given risk-free rate of return = 2.3 per cent
Market expected return = 12 percent
The value of beta = 0.87
Use the below formula to find the expected return.
The expected return = Risk free rate of return + Beta × (Market expected return - risk free rate of return)
The expected return = 2.3 + 0.87 (12 – 2.3)
The expected return = 10.739
Answer:
We see that Prog A will give an annual CF of 75%*$6000 = $4500
Prog B will give annual CF of 95%*$6000 = $5700
Disc Rate Kd = 20%
So PV of Annuity of $1 for 5 yrs with Kd = 20% is 2.9906
So NPV of Prog A = CF0+CF1+ ....+Cf5 = -12000+2.9906*4500 = $1,458
So NPV of Prog B= CF0+CF1+ ....+Cf5 = -20000+2.9906*5700 = $(2,954)
So Prog A is more effective as it gives a Positive NPV
Answer: c. identify an area of knowledge or an issue that deeply interests you. conduct a thorough, objective research.
Explanation:
You would write better on any subject where you have an area of knowledge or that which interests you greatly, this is due to the fact that your knowledge gives you an added advantage in writing the subject, you would have had an underlying foundational knowledge which you just need to build on by research and having an objective for the topic. So, having an interest and knowledge in a topic is the first strategy to note when writing a topic.
Answer:
1. A basic finding of labor economics is that workers who have more experience in the labor force are paid more than workers who have less experience (holding constant the amount of formal education). True
2. This might be the case because people with more experience have usually had more on-the-job training. True
3. Some studies have also found that experience at the same job (called job tenure) has an extra positive influence on wages. Job tenure is valuable because people gain <u>job-specific knowledge</u> that is useful to the firm.
Explanation:
A worker with more experience means more on-the-job training, this drastically increases the worker's value of the marginal product of labor.
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.
