The sensitivity analysis. Introduction: Sensitivity Analysis: The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant. Scenario Analysis: The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario. Simulation Analysis: Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

Question

You are looking to lease a 2019 Subaru Forester. You have found a 36 - month closed end lease on a Forester with an MSRP of $25, 270 and a lease end purchase option of $15,667 (residual value). To get the lease you have to pay a fee of $1,765 due at signing, and the monthly payment was calculated to be $ 265. A) What is the nominal rate of return the dealership is earning on the lease? (Hint: think of the cash flows from the dealerships prospective) B) What would the lease payment be if the dealership wanted a nominal 6% compounded monthly on the lease?

Answer 1

Question

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

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You are looking to lease a 2019 Subaru Forester. You have found a 36 - month closed end lease on a Forester with an MSRP of $25, 270 and a lease end purchase option of $15,667 (residual value). To get the lease you have to pay a fee of $1,765 due at signing, and the monthly payment was calculated to be $ 265. A) What is the nominal rate of return the dealership is earning on the lease? (Hint: think of the cash flows from the dealerships prospective) B) What would the lease payment be if the dealership wanted a nominal 6% compounded monthly on the lease?

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Answer 2

Question

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Expert Solution & Answer

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Answer 3

Question

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Expert Solution & Answer

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Answer 4

Question

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Expert Solution & Answer

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Answer 5

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Answer 6

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

Answer 7

Chapter 12, Problem 9Q

a)

Summary Introduction

To explain: The sensitivity analysis.

Introduction:

Sensitivity Analysis:

The process to evaluate the effect of change in one variable on the end result of a project is called sensitivity analysis. It reflects the change in net present value with respect to change in an input unit with other variables remain constant.

Scenario Analysis:

The process to evaluate different probable events and their outcomes that is end result of a project is called scenario analysis. It reflects the level of end result with multiple estimates called scenario categorized as base, best, and worst case scenario.

Simulation Analysis:

Simulation analysis is an extended version of sensitivity analysis that has improved the evaluation process as it considers detailed inputs. It can record the effect of changes in multiple input variables at once.

Answer 8

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

Answer 9

b.

Summary Introduction

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

Answer 10

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Answer 11

c.

Summary Introduction

To explain: The simulation analysis and the project on which the simulation will be applied.

Answer 12

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Ch. 12 - Prob. 1Q Ch. 12 - Prob. 2Q Ch. 12 - Explain why net operating working capital is...Ch. 12 - Prob. 4Q Ch. 12 - Prob. 5Q Ch. 12 - Prob. 6Q Ch. 12 - Prob. 7Q Ch. 12 - Prob. 8Q Ch. 12 - Prob. 9Q Ch. 12 - If you were the CFO of a company that had to...

Solution Summary: The author explains sensitivity analysis, which evaluates the effect of change in one variable on the end result of a project. Simulation analysis considers changes in multiple inputs at the same time.

Concept explainers

Videos

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

To explain: The simulation analysis and the project on which the simulation will be applied.

Chapter 12 Solutions

Solution Summary: The author explains sensitivity analysis, which evaluates the effect of change in one variable on the end result of a project. Simulation analysis considers changes in multiple inputs at the same time.

Concept explainers

Videos

To explain: The scenario analysis Introduction: Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.

To explain: The simulation analysis and the project on which the simulation will be applied.

Chapter 12 Solutions

To explain: The scenario analysis

Introduction:

Scenario analysis is the process to reflect the outcome in different probable scenarios. It changes the estimates based on the depended factors.