Lecture no45 estimating project volatility

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Lecture no45 estimating project volatility

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Estimating Project Volatility Lecture No 45 Chapter 13 Contemporary Engineering Economics Copyright © 2016 th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Volatility (σ) • Difficult to get a ‘good’ estimate – No historical prices – Volatility in theory should reflect risk and uncertainty • • • Difficult in practice Risk represented in the random variable of a cash flow Uncertainty practically unknown – Unknown investment opportunities, market prices, market demand, etc th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Analytical Approach  Conceptual Idea: Estimating volatility based on the mathematical relationship between the project return volatility (σ) and the parameters (μT and σT) of project value distribution, VT th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Mathematical Relationship Between σ and σT th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Example A firm determines the NPV distribution of the project it is evaluating From inspection, the distribution looks somewhat lognormal (i.e it is positively skewed) The time to make the investment decision is two-years The NPV descriptive statistics are: E(V2) = 5000 Var(V2) = 4000 The volatility estimate is:  40002 + 50002  σ= ln  ÷ = 50% 5000   th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Estimating VT Distribution  Step 1: Estimate the project cash flows over the project life (T + n) if the project is undertaken at the end of option life (T)  Step 2: Obtain the VT distribution by aggregating the project cash flow at each period and then discounting them at a risk-free rate  Step 3: Compute the mean (μT) and volatility (σ T)of the VT distribution  Step 4: Compute σ by using   σ 2  ln   T ÷ + 1÷  àT = T th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Example 13.14: Estimating the Project Volatility for a Simple Deferral Option  Given: o o o o Two years to defer: T = Required investment: $35M Risk-adjusted discount rate: 10% Risk-free rate: 6%  Find: Estimate the volatility th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Analytical Approach to Determine σ • 3-point estimates th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Estimation of VT Distribution Project’s Volatility th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Option Value Calculation th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Summary o o Real options analysis provides a new way of managing business risk The fundamental difference between the traditional NPV approach and real options analysis is in how they treat managing project risk: The traditional NPV approach is to avoid risk whenever possible, whereas the real options approach is to manage risk th Contemporary Engineering Economics, edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved ... Approach  Conceptual Idea: Estimating volatility based on the mathematical relationship between the project return volatility (σ) and the parameters (μT and σT) of project value distribution,... Estimate the project cash flows over the project life (T + n) if the project is undertaken at the end of option life (T)  Step 2: Obtain the VT distribution by aggregating the project cash flow... edition Park Copyright © 2016 by Pearson Education, Inc All Rights Reserved Example 13.14: Estimating the Project Volatility for a Simple Deferral Option  Given: o o o o Two years to defer: T = Required

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Mục lục

  • Slide 1

  • Volatility (σ)

  • Analytical Approach

  • Mathematical Relationship Between σ and σT

  • Example

  • Estimating VT Distribution

  • Slide 7

  • Analytical Approach to Determine σ

  • Estimation of VT Distribution

  • Option Value Calculation

  • Slide 11

  • Summary

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