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Types of finance random variables. Security analysts are professionals who devote full-time efforts to evaluating the investment worth of a narrow list of stocks. The following variables are of interest to security analysts. Which are discrete and which are continuous random variables?

a. The closing price of a particular stock on the New York Stock Exchange.

b. The number of shares of a particular stock that are traded each business day.

c. The quarterly earnings of a particular firm.

d. The percentage change in earnings between last year and this year for a particular firm.

e. The number of new products introduced per year by a firm.

f. The time until a pharmaceutical company gains approval from the U.S. Food and Drug Administration to market a new drug.

Short Answer

Expert verified
  1. Discrete
  2. Discrete
  3. Discrete
  4. Continuous
  5. Discrete
  6. Continuous

Step by step solution

01

Specifying why the closing price of a stock is a discrete random variable

a.

The closing price of a stock is always regarded as a discrete variable.It is easily countable. Whenever something is countable and does not take infinite values within a range, it becomes discrete.

02

Specifying why the number of shares of a stock is a discrete random variable

b.

The number of shares of a stock is always regarded as a discrete variable. It is directly countable. As it is countable and does not take infinite values within a range, it becomes discrete.

03

Specifying why quarterly earningsare a discrete random variable 

c.

Quarterly earnings are always regarded as a discrete variable. The quarterly earnings are countable as they are calculated after every quarter ends. As it does not take infinite values within a range, it becomes discrete.

04

Specifying why the percentage change in earnings is a continuous random variable

d.

The percentage change in earnings is always regarded as a continuous variable.It always changes every year, and as it can take infinite values, it becomes continuous.

05

Specifying why the number of new products is a discrete random variable 

e.

The number of new products is always regarded as a discrete variable.It is countable.Whenever something is countable and does not take infinite values within a range, it becomes discrete.

06

Specifying why the time of getting an approval is a continuous random variable

f. The time of getting approval is always regarded as a continuous variable.It can take any form of infinite value, and so, it becomes continuous.

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Most popular questions from this chapter

Buy-side vs. sell-side analystsโ€™ earnings forecasts. Financial analysts who make forecasts of stock prices are categorized as either โ€œbuy-sideโ€ analysts or โ€œsell-sideโ€ analysts. Refer to the Financial Analysts Journal (July/August 2008) comparison of earnings forecasts of buy-side and sell-side analysts, Exercise 2.86 (p. 112). The mean and standard deviation of forecast errors for both types of analysts are reproduced in the table. Assume that the distribution of forecast errors are approximately normally distributed.

a. Find the probability that a buy-side analyst has a forecast error of +2.00 or higher.

b. Find the probability that a sell-side analyst has a forecast error of +2.00 or higher


Buy-Side Analysts

Sell-Side Analysts

Mean

0.85

-0.05

Standard Deviation

1.93

0.85

The Apprenticecontestantsโ€™ performance ratings. Referto the Significance(April 2015) study of contestantsโ€™ performanceson the United Kingdomโ€™s version of the TVshow, The Apprentice, Exercise 2.9 (p. 73). Recall thatthe performance of each of 159 contestants was rated ona 20-point scale. Contestants were also divided into twogroups: those who played for a job and those who playedfor a businesspartnership. These data (simulated, based onstatistics reportedin the article) are saved in the accompanyingfile. Descriptive statistics for each of the two groupsof contestants are displayed in the accompanying Minitabprintout.

a. Determine whether the performance ratings of contestantswho played for a job are approximately normallydistributed.

b. Determine whether the performance ratings of contestantswho played for a business partnership are approximatelynormally distributed.

Descriptive Statistics: Rating

Variable Rating

Price

N

Mean

St.Dev

Minimum

Q

1

median

Q3

Maximum

IQ

R

Job

99

7.879

4.224

1

4

9

11

20

7

Partner

60

8.883

4.809

1

5

8

12

20

7

NHTSA crash tests. Refer to the NHTSA crash tests of new car models, Exercise 4.3 (p. 217). A summary of the driver-side star ratings for the 98 cars in the file is reproduced in the accompanying Minitab printout. Assume that one of the 98 cars is selected randomly and let x equal the number of stars in the carโ€™s driver-side star rating.

  1. Use the information in the printout to find the probability distribution for x.
  2. FindP(x=5).
  3. FindP(xโ‰ค2).
  4. Find ฮผ=E(x)and practically interpret the result.

Voltage sags and swells. Refer to the Electrical Engineering (Vol. 95, 2013) study of the power quality of a transformer, Exercise 2.127 (p. 132). Recall that two causes of poor power quality are โ€œsagsโ€ and โ€œswells.โ€. (A sag is an unusual dip, and a swell is an unusual increase in the voltage level of a transformer.) For Turkish transformers built for heavy industry, the mean number of sags per week was 353, and the mean number of swells per week was 184. As in Exercise 2.127, assume the standard deviation of the sag distribution is 30 sags per week, and the standard deviation of the swell distribution is 25 swells per week. Also, assume that the number of sags and number of swells is both normally distributed. Suppose one of the transformers is randomly selected and found to have 400 sags and 100 swells in a week.

a. What is the probability that the number of sags per week is less than 400?

b. What is the probability that the number of swells per week is greater than 100?

Assume that xis a binomial random variable with n = 100

and p = 5. Use the normal probability distribution to approximate

the following probabilities:

a.P(xโ‰ค48)

b.P(50โ‰คxโ‰ค65)

c.P(xโ‰ฅ70)

d.P(55โ‰คxโ‰ค58)

e.P(x=62)

f.P(xโ‰ค49orxโ‰ฅ72)

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