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Regression: Forecasting Using Explanatory Factors Net Present Value (NPV) / MBA Resources

Introduction to Net Present Value (NPV) - What is Net Present Value (NPV) ? How it impacts financial decisions regarding project management?

NPV solution for Regression: Forecasting Using Explanatory Factors case study


At Oak Spring University, we provide corporate level professional Net Present Value (NPV) case study solution. Regression: Forecasting Using Explanatory Factors case study is a Harvard Business School (HBR) case study written by Phillip E. Pfeifer, Samuel E Bodily, Robert I Carraway, Sherwood C. Jr. Frey. The Regression: Forecasting Using Explanatory Factors (referred as “Linear Regression” from here on) case study provides evaluation & decision scenario in field of Leadership & Managing People. It also touches upon business topics such as - Value proposition, Financial analysis.

The net present value (NPV) of an investment proposal is the present value of the proposal’s net cash flows less the proposal’s initial cash outflow. If a project’s NPV is greater than or equal to zero, the project should be accepted.

NPV = Present Value of Future Cash Flows LESS Project’s Initial Investment






Case Description of Regression: Forecasting Using Explanatory Factors Case Study


This comprehensive technical note explains linear regression. It is intended for students with no prior knowlede of the topic. It is devided into nine sections, which may be assigned separately: 1. The simple linear model, 2. Fitting the model using least Squares, 3. Important properties of the least-squares regression line, 4. Summary regression statistics, 5. Assumptions behind the linear model, 6. Model-building Philosophy, 7. Forecasting using the linear model, 8. Using dummy variables to represent categorical variables, and 9. Useful data transformations. The sections correspond to stand-alone notes also available through Darden Business Publishing


Case Authors : Phillip E. Pfeifer, Samuel E Bodily, Robert I Carraway, Sherwood C. Jr. Frey

Topic : Leadership & Managing People

Related Areas : Financial analysis




Calculating Net Present Value (NPV) at 6% for Regression: Forecasting Using Explanatory Factors Case Study


Years              Cash Flow     Net Cash Flow     Cumulative    
Cash Flow
Discount Rate
@ 6 %
Discounted
Cash Flows
Year 0 (10008451) -10008451 - -
Year 1 3455509 -6552942 3455509 0.9434 3259914
Year 2 3967126 -2585816 7422635 0.89 3530728
Year 3 3972464 1386648 11395099 0.8396 3335357
Year 4 3241836 4628484 14636935 0.7921 2567838
TOTAL 14636935 12693837




The Net Present Value at 6% discount rate is 2685386

In isolation the NPV number doesn't mean much but put in right context then it is one of the best method to evaluate project returns. In this article we will cover -

Different methods of capital budgeting


What is NPV & Formula of NPV,
How it is calculated,
How to use NPV number for project evaluation, and
Scenario Planning given risks and management priorities.




Capital Budgeting Approaches

Methods of Capital Budgeting


There are four types of capital budgeting techniques that are widely used in the corporate world –

1. Payback Period
2. Net Present Value
3. Profitability Index
4. Internal Rate of Return

Apart from the Payback period method which is an additive method, rest of the methods are based on Discounted Cash Flow technique. Even though cash flow can be calculated based on the nature of the project, for the simplicity of the article we are assuming that all the expected cash flows are realized at the end of the year.

Discounted Cash Flow approaches provide a more objective basis for evaluating and selecting investment projects. They take into consideration both –

1. Timing of the expected cash flows – stockholders of Linear Regression have higher preference for cash returns over 4-5 years rather than 10-15 years given the nature of the volatility in the industry.
2. Magnitude of both incoming and outgoing cash flows – Projects can be capital intensive, time intensive, or both. Linear Regression shareholders have preference for diversified projects investment rather than prospective high income from a single capital intensive project.






Formula and Steps to Calculate Net Present Value (NPV) of Regression: Forecasting Using Explanatory Factors

NPV = Net Cash In Flowt1 / (1+r)t1 + Net Cash In Flowt2 / (1+r)t2 + … Net Cash In Flowtn / (1+r)tn
Less Net Cash Out Flowt0 / (1+r)t0

Where t = time period, in this case year 1, year 2 and so on.
r = discount rate or return that could be earned using other safe proposition such as fixed deposit or treasury bond rate. Net Cash In Flow – What the firm will get each year.
Net Cash Out Flow – What the firm needs to invest initially in the project.

Step 1 – Understand the nature of the project and calculate cash flow for each year.
Step 2 – Discount those cash flow based on the discount rate.
Step 3 – Add all the discounted cash flow.
Step 4 – Selection of the project

Why Leadership & Managing People Managers need to know Financial Tools such as Net Present Value (NPV)?

In our daily workplace we often come across people and colleagues who are just focused on their core competency and targets they have to deliver. For example marketing managers at Linear Regression often design programs whose objective is to drive brand awareness and customer reach. But how that 30 point increase in brand awareness or 10 point increase in customer touch points will result into shareholders’ value is not specified.

To overcome such scenarios managers at Linear Regression needs to not only know the financial aspect of project management but also needs to have tools to integrate them into part of the project development and monitoring plan.

Calculating Net Present Value (NPV) at 15%

After working through various assumptions we reached a conclusion that risk is far higher than 6%. In a reasonably stable industry with weak competition - 15% discount rate can be a good benchmark.



Years              Cash Flow     Net Cash Flow     Cumulative    
Cash Flow
Discount Rate
@ 15 %
Discounted
Cash Flows
Year 0 (10008451) -10008451 - -
Year 1 3455509 -6552942 3455509 0.8696 3004790
Year 2 3967126 -2585816 7422635 0.7561 2999717
Year 3 3972464 1386648 11395099 0.6575 2611960
Year 4 3241836 4628484 14636935 0.5718 1853530
TOTAL 10469997


The Net NPV after 4 years is 461546

(10469997 - 10008451 )








Calculating Net Present Value (NPV) at 20%


If the risk component is high in the industry then we should go for a higher hurdle rate / discount rate of 20%.

Years              Cash Flow     Net Cash Flow     Cumulative    
Cash Flow
Discount Rate
@ 20 %
Discounted
Cash Flows
Year 0 (10008451) -10008451 - -
Year 1 3455509 -6552942 3455509 0.8333 2879591
Year 2 3967126 -2585816 7422635 0.6944 2754949
Year 3 3972464 1386648 11395099 0.5787 2298880
Year 4 3241836 4628484 14636935 0.4823 1563385
TOTAL 9496804


The Net NPV after 4 years is -511647

At 20% discount rate the NPV is negative (9496804 - 10008451 ) so ideally we can't select the project if macro and micro factors don't allow financial managers of Linear Regression to discount cash flow at lower discount rates such as 15%.





Acceptance Criteria of a Project based on NPV

Simplest Approach – If the investment project of Linear Regression has a NPV value higher than Zero then finance managers at Linear Regression can ACCEPT the project, otherwise they can reject the project. This means that project will deliver higher returns over the period of time than any alternate investment strategy.

In theory if the required rate of return or discount rate is chosen correctly by finance managers at Linear Regression, then the stock price of the Linear Regression should change by same amount of the NPV. In real world we know that share price also reflects various other factors that can be related to both macro and micro environment.

In the same vein – accepting the project with zero NPV should result in stagnant share price. Finance managers use discount rates as a measure of risk components in the project execution process.

Sensitivity Analysis

Project selection is often a far more complex decision than just choosing it based on the NPV number. Finance managers at Linear Regression should conduct a sensitivity analysis to better understand not only the inherent risk of the projects but also how those risks can be either factored in or mitigated during the project execution. Sensitivity analysis helps in –

What can impact the cash flow of the project.

What are the key aspects of the projects that need to be monitored, refined, and retuned for continuous delivery of projected cash flows.

What are the uncertainties surrounding the project Initial Cash Outlay (ICO’s). ICO’s often have several different components such as land, machinery, building, and other equipment.

What will be a multi year spillover effect of various taxation regulations.

Understanding of risks involved in the project.

Some of the assumptions while using the Discounted Cash Flow Methods –

Projects are assumed to be Mutually Exclusive – This is seldom the came in modern day giant organizations where projects are often inter-related and rejecting a project solely based on NPV can result in sunk cost from a related project.

Independent projects have independent cash flows – As explained in the marketing project – though the project may look independent but in reality it is not as the brand awareness project can be closely associated with the spending on sales promotions and product specific advertising.






Negotiation Strategy of Regression: Forecasting Using Explanatory Factors

References & Further Readings

Phillip E. Pfeifer, Samuel E Bodily, Robert I Carraway, Sherwood C. Jr. Frey (2018), "Regression: Forecasting Using Explanatory Factors Harvard Business Review Case Study. Published by HBR Publications.


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