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FINANCIAL PLANNING AND ANALYSIS

Part 2 Chapter 10

Into

Table of Content

Table of Contents

• Enter Inputs and Run Model to Form Initial Conclusions

• Test Reasonableness of Conclusions against Sensitivities, Scenarios or Simulations

• Model Interpretation

Location in the PDCA Cycle

Are Conclusions Defensible?

Quality: Using best practices in data validation and model building

  • Also. choose appropriate benchmarks (think capital budgeting metrics) and consider stand-alone risk and diversification

Objectivity: Opinion is based solely on inferences from the model

  • Watch for biases: in particular confirmation bias

Full Disclosure: Express the limitations and assumptions of the model

  • Examples that you would like to discuss?

Sensitivities,

Scenarios or Simulations

Sensitivities,

Scenarios or Simulations

Analysis Measures Defined

Sensitivity analysis Scenario analysis Monte Cerio simulation

Measures the effect on outputs when multiple input values are changed simultaneously from their expected values to reflect a realistic situation that could occur.

A process conducted by simulation software that makes multiple trials (simulation runs) and. in each trial. the software varies each input variable semi-randomly on the basis of a probability distribution for each variable.

Measures the effect on outputs when one input value is changed and all other input values are held constant at their expected values.

Applied Sensitivity Analysis

Assumptions: Your firm is examining the viability of investing in commercial real estate. The current asked price for the development is $1.5M. If the property is purchased, then your firm will lease the property out on an annual basis for $100,000(assume beginning-of year cash flows) for each year of the property's holding periocf. The property will then be sold at the end of the second year. Assume a WACC of 10%.

You are uncertain about the residual value of the property, but you have determined the following potential values:

Resell Best-case = $2.1M

Resell Worst-case = $1.3M

Applied Sensitivity Analysis: NPV Analysis

Applied Scenario Analysis

Assumptions: Your firm is examining the viability of investing in

commercial real estate. The current asked price for the development is

$1.5M. If the property is purchased, then your firm will lease the

property out on an annual basis for $100,000(assume beginning-of year

cash flows). The property will then be sold at the end of the second year.

You are uncertain about the cost of capital and the residual value of the

property, but you have determined the following potential values:

WACC Best-case 7.5%, Re-sell best-Case = $2.1M

WACC Worst-case 13%, Re-sell worst-Case = $1.3M

Applied Scenario Analysis: NPV Analysis

NVP Best-case

NVP Worst-case

Monte Carlo Simulation

Model is re-estimated many times using changes in multiple variables at a time.

Changes to the inputs follow the probability distribution specified by the user

  • Many probability distributions to choose from

After generating the simulations, the user should calculate and examine the descriptive stats taken from the model output.

Monte Carlo Simulation Results via Histogram

Making Conclusions with Capital

Budgeting

Metrics

Invest if

NPV> $0

  • Targeted value other than $0 may be used in some cases

IRR >WACC

  • Is the WACC the appropriate comparison rate? If the investment has a different risk level than the overall firm. then probably not
  • Beware the possibility for multiple IRRs: Number of IRRs will equal the# of sign changes in the CFs

Profitability Index > 1.00

Payback Period < what exactly?

  • Discounted payback period is interpreted simillary

Question

Thank You

Question

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