The appointment of Santos, an industry “insider”, to head the regulatory agency in Venezuela has the

第1题

If ABCO were to build its new facility in Peru, compliance with the country’s regulatory policies will increase

Joseph Glass, CFA, is a consultant who provides advisory services to large manufacturing companies. Glass has been retained by ABCO, a leading manufacturer of widgets for automobiles in the United States. ABCO has hired Glass to evaluate the possibility of expanding their current base of operations by building an additional facility in South America. Management of ABCO has identified anincrease in demand for widgets in South America over the past decade, and any new manufacturing facility would produce goods to satisfy that void and would be distributed and sold across South America.

Glass is not familiar with the current economic climate in South America, but is aware that several governments have attempted to encourage economic development in their countries through the enactment of pro-business legislation. Two of these countries, Venezuela and Peru, both have the reputations of being “friendly” to foreign economic investment within their borders. The two countries share some similarities: both, until the past twenty years, were primarily agricultural economies with little industrial development. Also, both countries can offer a relatively low-cost labor force, although their workers in general, are not highly skilled.

The government of Peru has declared that protecting the country’s environment is of utmost importance, and has established a regulatory body that oversees any environmental concerns that may arise as the country becomes more industrialized. Fairly stringent regulations have already been put into place in order to ensure that going forward, the operating practices of manufacturers within their country’s borders will be in balance with the government’s concern for their county’s natural resources. Regulations cover areas of concern such as air emissions, water conservation and the use of sustainable resources. Glass advised ABCO that a cost-benefit analysis must be performed to accurately determine both the direct and indirect costs of compliance with the regulations.

The Venezuelan government has taken steps to ensure that it can carefully manage the development of its country’s emerging economy, and to ensure that a competitive market is maintained. A regulatory agency was established five years ago to provide guidance for any new manufacturing concern seeking to operate in Venezuela. The head of the agency is Juan Santos, the former CEO of one of the first modernized manufacturing facilities in the country. During his tenure as head of the agency, he has demonstrated his ability to render decisions that attempt to simultaneously satisfy legislators, industry participants, and consumers. Glass is impressed by Santos’ work so far, but realizes that over the past five years, Venezuela has experienced a period of relatively slow economic development. Glass believes that Santos’ skills will truly be put to the test in the upcoming years of the anticipated economic expansion.

Glass acknowledges the need for governmental regulation of industry, but recognizes that there always are offsetting costs, both short-term and long-term of such controls. Based upon his knowledge of events that have occurred in the United States over the past thirty years, Glass recommends that ABCO continue to carefully monitor economic developments in both countries even after a site for a new manufacturing facility is selected.

Part 3)

If ABCO were to build its new facility in Peru, compliance with the country’s regulatory policies will increase the price of their product by approximately ten percent. Some consumers may respond by not replacing the widgets in their automobiles as frequently as before, which will cause decreased fuel efficiency. This unintended effect of regulation is an example of:

A) the capture hypothesis.

B) a creative response.

C) a feedback effect.

D) the share-the-gains, share-the-pains theory.

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第2题

The social regulation policies enacted by the government of Peru would least likely to cause which

Joseph Glass, CFA, is a consultant who provides advisory services to large manufacturing companies. Glass has been retained by ABCO, a leading manufacturer of widgets for automobiles in the United States. ABCO has hired Glass to evaluate the possibility of expanding their current base of operations by building an additional facility in South America. Management of ABCO has identified anincrease in demand for widgets in South America over the past decade, and any new manufacturing facility would produce goods to satisfy that void and would be distributed and sold across South America.

Glass is not familiar with the current economic climate in South America, but is aware that several governments have attempted to encourage economic development in their countries through the enactment of pro-business legislation. Two of these countries, Venezuela and Peru, both have the reputations of being “friendly” to foreign economic investment within their borders. The two countries share some similarities: both, until the past twenty years, were primarily agricultural economies with little industrial development. Also, both countries can offer a relatively low-cost labor force, although their workers in general, are not highly skilled.

The government of Peru has declared that protecting the country’s environment is of utmost importance, and has established a regulatory body that oversees any environmental concerns that may arise as the country becomes more industrialized. Fairly stringent regulations have already been put into place in order to ensure that going forward, the operating practices of manufacturers within their country’s borders will be in balance with the government’s concern for their county’s natural resources. Regulations cover areas of concern such as air emissions, water conservation and the use of sustainable resources. Glass advised ABCO that a cost-benefit analysis must be performed to accurately determine both the direct and indirect costs of compliance with the regulations.

The Venezuelan government has taken steps to ensure that it can carefully manage the development of its country’s emerging economy, and to ensure that a competitive market is maintained. A regulatory agency was established five years ago to provide guidance for any new manufacturing concern seeking to operate in Venezuela. The head of the agency is Juan Santos, the former CEO of one of the first modernized manufacturing facilities in the country. During his tenure as head of the agency, he has demonstrated his ability to render decisions that attempt to simultaneously satisfy legislators, industry participants, and consumers. Glass is impressed by Santos’ work so far, but realizes that over the past five years, Venezuela has experienced a period of relatively slow economic development. Glass believes that Santos’ skills will truly be put to the test in the upcoming years of the anticipated economic expansion.

Glass acknowledges the need for governmental regulation of industry, but recognizes that there always are offsetting costs, both short-term and long-term of such controls. Based upon his knowledge of events that have occurred in the United States over the past thirty years, Glass recommends that ABCO continue to carefully monitor economic developments in both countries even after a site for a new manufacturing facility is selected.

Part 2)

The social regulation policies enacted by the government of Peru would least likely to cause which of the following outcomes?

A) Higher costs of production.

B) A disproportionately higher compliance expense for larger firms rather than smaller firms.

C) Higher prices for the end consumer.

D) Attempts by industry participants to avoid compliance through creative response.

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第3题

Should ABCO build a new facility in either of the two countries, it is almost a certainty that they would

Joseph Glass, CFA, is a consultant who provides advisory services to large manufacturing companies. Glass has been retained by ABCO, a leading manufacturer of widgets for automobiles in the United States. ABCO has hired Glass to evaluate the possibility of expanding their current base of operations by building an additional facility in South America. Management of ABCO has identified anincrease in demand for widgets in South America over the past decade, and any new manufacturing facility would produce goods to satisfy that void and would be distributed and sold across South America.

Glass is not familiar with the current economic climate in South America, but is aware that several governments have attempted to encourage economic development in their countries through the enactment of pro-business legislation. Two of these countries, Venezuela and Peru, both have the reputations of being “friendly” to foreign economic investment within their borders. The two countries share some similarities: both, until the past twenty years, were primarily agricultural economies with little industrial development. Also, both countries can offer a relatively low-cost labor force, although their workers in general, are not highly skilled.

The government of Peru has declared that protecting the country’s environment is of utmost importance, and has established a regulatory body that oversees any environmental concerns that may arise as the country becomes more industrialized. Fairly stringent regulations have already been put into place in order to ensure that going forward, the operating practices of manufacturers within their country’s borders will be in balance with the government’s concern for their county’s natural resources. Regulations cover areas of concern such as air emissions, water conservation and the use of sustainable resources. Glass advised ABCO that a cost-benefit analysis must be performed to accurately determine both the direct and indirect costs of compliance with the regulations.

The Venezuelan government has taken steps to ensure that it can carefully manage the development of its country’s emerging economy, and to ensure that a competitive market is maintained. A regulatory agency was established five years ago to provide guidance for any new manufacturing concern seeking to operate in Venezuela. The head of the agency is Juan Santos, the former CEO of one of the first modernized manufacturing facilities in the country. During his tenure as head of the agency, he has demonstrated his ability to render decisions that attempt to simultaneously satisfy legislators, industry participants, and consumers. Glass is impressed by Santos’ work so far, but realizes that over the past five years, Venezuela has experienced a period of relatively slow economic development. Glass believes that Santos’ skills will truly be put to the test in the upcoming years of the anticipated economic expansion.

Glass acknowledges the need for governmental regulation of industry, but recognizes that there always are offsetting costs, both short-term and long-term of such controls. Based upon his knowledge of events that have occurred in the United States over the past thirty years, Glass recommends that ABCO continue to carefully monitor economic developments in both countries even after a site for a new manufacturing facility is selected.

Part 1)

Should ABCO build a new facility in either of the two countries, it is almost a certainty that they would be the low-cost producer of widgets, with the capacity to satisfy nearly all demand in the region. A natural monopolist operating in an unregulated industry will produce at the point where:

A) marginal costs equal marginal revenue.

B) average costs equal marginal revenue.

C) average costs equal average revenue.

D) the marginal cost curve intersects the demand schedule.

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第4题

Given the output, the most obvious potential problem that Briars and Holmes need to investigate is:

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 6)

Given the output, the most obvious potential problem that Briars and Holmes need to investigate is:

A) a unit root.

B) conditional heteroskedasticity.

C) unconditional heteroskedasticity.

D) multicollinearity.

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第5题

With respect to the comments of Holmes and Briars concerning the mean reversion of the import data

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 5)

With respect to the comments of Holmes and Briars concerning the mean reversion of the import data, the long-run mean value that:

A) Briars computes is correct, but the conclusion is probably not accurate.

B) Briars computes is not correct, but his conclusion is probably accurate.

C) Holmes computes is not correct, and her conclusion is probably not accurate.

D) Briars computes is correct, and his conclusion is probably accurate.

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第6题

Using the model’s results, Briar’s forecast for three years into the future is:

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 4)

Using the model’s results, Briar’s forecast for three years into the future is:

A) $54.108 million.

B) $47.151 million.

C) $51.450 million.

D) $54.543 million.

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第7题

The statistician’s statement concerning the benefits of the Hansen method is:

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 3)

The statistician’s statement concerning the benefits of the Hansen method is:

A) correct, because the Hansen method adjusts for problems associated with both serial correlation and heteroskedasticity.

B) not correct, because the Hansen method only adjusts for problems associated with serial correlation but not heteroskedasticity.

C) not correct, because the Hansen method only adjusts for problems associated with heteroskedasticity but not serial correlation.

D) not correct, because the Hansen method does not adjust for problems associated with either serial correlation or heteroskedasticity.

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第8题

With respect to the statement that the company’s statistician made concerning the consequences of serial

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 2)

With respect to the statement that the company’s statistician made concerning the consequences of serial correlation, assuming the company’s statistician is competent, we would most likely deduce that Holmes and Briars did not tell the statistician:

A) the sample size.

B) the value of the Durbin-Watson statistic.

C) that the intercept coefficient is not significant.

D) the model’s specification.

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第9题

With respect to the statements made by Holmes and Briars concerning serial correlation and the importance

Clara Holmes, CFA, is attempting to model the importation of an herbal tea into the United States. She gathers 24 years of annual data, which is in millions of inflation-adjusted dollars. The real dollar value of the tea imports has grown steadily from $30 million in the first year of the sample to $54 million in the most recent year.

She computes the following equation:

(Tea Imports)t = 3.8836 + 0.9288 × (Tea Imports)t ? 1 + et

t-statistics (0.9328)(9.0025)

R2 = 0.7942

Adj. R2 = 0.7844

SE = 3.0892

N = 23

Holmes and her colleague, John Briars, CFA, discuss the implication of the model and how they might improve it. Holmes is fairly satisfied with the results because, as she says “the model explains 78.44 percent of the variation in the dependent variable.” Briars says the model actually explains more than that.

Briars asks about the Durbin-Watson statistic. Holmes said that she did not compute it, so Briars reruns the model and computes its value to be 2.1073. Briars says “now we know serial correlation is not a problem.” Holmes counters by saying “rerunning the model and computing the Durbin-Watson statistic was unnecessary because serial correlation is never a problem in this type of time-series model.”

Briars and Holmes decide to ask their company’s statistician about the consequences of serial correlation. Based on what Briars and Holmes tell the statistician, the statistician informs them that serial correlation will only affect the standard errors and the coefficients are still unbiased. The statistician suggests that they employ the Hansen method, which corrects the standard errors for both serial correlation and heteroskedasticity.

Given the information from the statistician, Briars and Holmes decide to use the estimated coefficients to make some inferences. Holmes says the results do not look good for the future of tea imports because the coefficient on (Tea Import)t ? 1 is less than one. This means the process is mean reverting. Using the coefficients in the output, says Holmes, “we know that whenever tea imports are higher than 41.810, the next year they will tend to fall. Whenever the tea imports are less than 41.810, then they will tend to rise in the following year.” Briars agrees with the general assertion that the results suggest that imports will not grow in the long run and tend to revert to a long-run mean, but he says the actual long-run mean is 54.545. Briars then computes the forecast of imports three years into the future.

Part 1)

With respect to the statements made by Holmes and Briars concerning serial correlation and the importance of the Durbin-Watson statistic:

A) Holmes was correct and Briars was incorrect.

B) Briars was correct and Holmes was incorrect.

C) they were both correct.

D) they were both incorrect.

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第10题

Haggerty is using the replacement-chain method, depending only on data from the new factory fact

Zelda Haggerty was recently promoted to project manager at Verban Automation, a maker of industrial machinery. Haggerty’s first task as project manager is to analyze capital-spending proposals.

The first project under review is a proposal for a new factory. Verban wants to build the plant on land it already owns in India. Below are details included on a fact sheet regarding the factory project:

§ The initial outlay to the builder would be $85 million for the building. Verban would spend another $20 million on specialized equipment in the first year.

§ The factory would open up new markets for Verban’s products. Production should begin July 1 of the second year.

§ Verban’s tax rate is 34 percent.

§ Verban expects the factory to generate $205 million in annual sales starting in the third year, with half of that amount in the second year.

§ At the end of the sixth year, Verban expects the market value and the book value of the building to be worth $35 million, and the market value and the book value of the equipment to be worth $3.25 million.

§ Fixed operating costs are expected to be $65 million a year once the factory starts production.

§ Variable operating costs should be 40 percent of sales.

§ Verban uses straight-line depreciation.

§ New inventories are likely to boost working capital by $7.5 million in the first year of production.

§ Verban’s cost of capital for the factory project is 14.3 percent.

Verban’s chief of operations, Max Jenkins, attached a note containing some of his thoughts about the project. His comments are listed below:

§ Comment 1: “We spent $5 million up front on an exclusive, 10-year maintenance contract for all of our equipment in Asia two years ago, before an earlier project was canceled. Your budget should reflect that.”

§ Comment 2: “Some Asian clients are likely to switch over to the equipment from the new factory. They account for about $5 million a year in sales for the U.S. division. Your budget should reflect that.”

§ Comment 3: “I expect variable costs to take a one-time hit in Year 1, as we should plan for about $1.5 million in installation expense for the manufacturing equipment.”

§ Comment 4: “We bought the land allocated for this factory for $30 million in 1998. That money is long spent, so don’t worry about including it in the budget analysis.”

Haggerty is unimpressed with the advice she received from Jenkins and calculates cash flows and net present values using numbers from the fact sheet without taking any of the advice. She assumes all inflows and outflows take place at the end of the year.

Verban is also considering upgrading two smaller, outdated factories, projects for which the cost of capital is 14.3 percent. Both of the remodeled factories would have a three-year life and cash flows as follows:

Initial outlayYear 1Year 2Year 3

-$30 million$15 million$17 million$28 million

Verban is willing to pursue the new factory or the renovations, but not both projects. Haggerty decides which project makes the most sense and prepares models and recommendations for Verban’s executives. Haggerty is concerned that her budgeting calculations do not accurately affect inflation, so she attempts to tweak her models to reflect the 2.5 percent inflation expected annually over the next five years.

Part 6)

Haggerty is using the replacement-chain method, depending only on data from the new factory fact sheet and the cash-flow estimate for the remodeling projects. Which strategy should Haggerty recommend, and what is the difference between that project’s NPV and that of the other project?

Project NPV difference

A) New Factory $1.09 million

B) Remodeling $3.69 million

C) New Factory $1.24 million

D) Remodeling $11.20 million

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