IBF 5070 Module 4 Discussion: Where the Risk Sits in a Solar Project Model Example

Reviewed by Edgar Pennington, MBA Thomas Edison State University Updated October 2026

This IBF 5070 Module 4 sample is the risk analysis forum in Financial Modeling, from TESU's MBA in Finance: one post plus two replies. IBF-5070 asks in this module how a model can show where a project's risks lie and how large they are. The post, written by the Bayshore Renewables analyst followed in earlier modules, ranks the risks in the 60 MW Cumberland solar model, from generation and construction cost to market prices after the contract and operating costs, by how far a realistic change moves the project's value. It presents them as a tornado chart and explains what the ranking means for where management should spend its effort.

CourseIBF-5070 Financial Modeling
ModuleModule 4
Paper typeDiscussion forum: initial response and two comments
LengthAbout 443 words
FormatDiscussion post with APA 7 citations
SchoolThomas Edison State University
ProgramMBA in Finance
UpdatedOctober 2026

Free sample paper for IBF 5070 Module 4

1

Module 4 Discussion: Which Risks Move the Value?

Which Risks Move the Value? Ranking the Risks in the Cumberland Solar Model

At 7 percent, my Cumberland base case shows NPV near $3.1 million and an after-tax IRR of 7.5 percent. That is a thin margin on a $94 million project, so the question this week is which risks could erase it. Bodmer (2015) recommends changing one input at a time by a realistic amount and ranking the results, which produces a tornado chart with the largest effect at the top. I checked that each range was realistic rather than arbitrary: the generation range comes from the independent engineer's P90, the cost range from the spread between contractor bids, and the price range from the gap between high and low long-run forecasts.

Every one of these changes alone turns the NPV negative, which tells me the project has little room for error. Generation tops the list because it affects all 35 years of revenue. The post-contract price ranks second even though it starts in year 21, because the market is so uncertain. Construction cost matters less per dollar but is the risk we can control most, through a fixed-price contract.

For each risk, the model points to a response. Generation risk can be reduced only by careful site studies, so we should commission a second independent estimate. Price risk after year 20 could be reduced by seeking a longer contract. Construction risk can be shifted to the contractor with a fixed-price agreement. Esty (2004) notes that project finance works by allocating each risk to the party best able to bear it, which is exactly what these responses do.

RiskRealistic changeNPV after change, $ millions
Generation7% lower, the P90 case(2.7)
Market price after year 2030% lower(2.1)
Construction cost10% higher(1.8)
Operating costs15% higher(1.6)
What this page is doingPairing each risk with what management can do about it turns the tornado chart from a picture into a plan, the use of risk analysis the module emphasizes.
2

Comment on Priya's Post

Priya, your hospital outpatient expansion model ranks patient volume first, which makes sense. I wondered whether payer mix deserves its own bar on your tornado chart, since a shift from commercial insurance to Medicaid would cut revenue per visit even at the same volume. Changing volume and payer mix separately might show that one of them matters more than the other.

Comment on Marcus's Post

Marcus, your store rollout model tests each new store's sales one at a time, but the stores share a distribution center and a regional economy, so a weak economy would hurt them together. Kahneman and Lovallo (1993) warn that planners often treat related risks as independent and end up overconfident. Testing a scenario where all stores miss their sales targets at once might show a larger downside than the single-store changes suggest.

References

Bodmer, E. (2015). Corporate and project finance modeling: Theory and practice. Wiley.

Esty, B. C. (2004). Why study large projects? An introduction to research on project finance. European Financial Management, 10(2), 213-224. https://doi.org/10.1111/j.1354-7798.2004.00247.x

Kahneman, D., & Lovallo, D. (1993). Timid choices and bold forecasts: A cognitive perspective on risk taking. Management Science, 39(1), 17-31. https://doi.org/10.1287/mnsc.39.1.17

IBF 5070 Module 4 instructions, in plain terms

IBF-5070 has seven discussion forums worth 20 percent of the grade. The Module 4 forum asks how financial models can be used to analyze risk. You name where a model's risk comes from, size each source with sensitivity tests, often drawn as a tornado chart, and say what follows for the decision. Base the first post on your own model, then answer two classmates with a new idea or a pointed question. Keep the post focused on your own numbers, and make the replies specific to what each classmate wrote. Choose ranges that reflect real uncertainty for each input, such as the gap between expected and P90 output, rather than one percentage for everything, and explain where each range comes from.

How this IBF 5070 Module 4 example is built

The post opens with the model's base-case value and the question of which risks could erase it. A table ranks four risks by their effect on value, using realistic changes for each, and the text explains the ranking. A paragraph pairs each risk with a management response and uses research on project finance to explain risk allocation. The first reply suggests splitting a classmate's revenue risk into two drivers. The second uses research on forecasting bias to suggest testing correlated risks together, which previews the later modules on scenarios and probability. Each reply names the classmate's model and the specific change suggested, so it reads as a contribution to their work rather than a general remark, and each one connects back to a course idea.

IBF 5070 Module 4 rubric: what earns full marks

Mentors grade discussions on the quality of the initial post, use of course concepts and research, and replies that extend classmates' thinking. In this forum, posts that quantify risks with the student's own model, and that rank them, show more than lists of possible risks. Linking each risk to a response demonstrates managerial judgment. Replies that suggest a specific change to a classmate's analysis, with a reason, earn more than agreement. Citing the textbook and research in both the post and the replies supports the grade. Posts that show the base-case value first, so readers can judge the size of each effect, are easier to follow. Replies that arrive early enough to start a real exchange also count.

Common IBF 5070 Module 4 mistakes, and how to avoid them

Students lose points by listing risks without measuring them, by changing every input by the same percentage regardless of how uncertain it is or by writing replies that only agree. Others forget that some risks are related. Use realistic ranges for each input. Rank risks by effect on value. Say what management can do about each one. In replies, suggest a specific test or driver your classmate could add, and give a reason drawn from the course or research. Get your first post up by midweek so the replies have room. A free first sample on your own IBF-5070 Module 4 discussion is available on request.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More IBF 5070 and MBA in Finance sample papers

IBF 5070 Module 4 questions, answered

Where can I find a free IBF 5070 Module 4 sample paper?

Ranking the Cumberland model's risks on a tornado chart is the post above, with two replies.

What is a tornado chart?

A chart that ranks inputs by how much a realistic change in each moves the output, with the largest effect at the top.

Why use realistic ranges rather than the same percentage for every input?

Because inputs differ in how uncertain they are, and equal changes would misstate which risks matter most.

What does risk allocation mean in project finance?

Assigning each risk to the party best able to manage or bear it, through contracts such as fixed-price construction.

Why test related risks together?

Because risks that move together, such as sales across stores, can produce a larger downside than single tests show.