Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Estimating Project Volatility Lecture.

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Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Estimating Project Volatility Lecture No. 45 Chapter 13 Contemporary Engineering Economics Copyright © 2016

Contemporary Engineering Economics, 6 th 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.

Contemporary Engineering Economics, 6 th 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 ( μ T and σ T ) of project value distribution, V T

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Mathematical Relationship Between σ and σ T

Contemporary Engineering Economics, 6 th 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(V 2 ) = 5000 Var(V 2 ) = The volatility estimate is:

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Estimating V T 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 V T distribution by aggregating the project cash flow at each period and then discounting them at a risk-free rate.  Step 3: Compute the mean (μ T ) and volatility (σ 2 T )of the V T distribution.  Step 4: Compute σ by using

Contemporary Engineering Economics, 6 th 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 Two years to defer: T = 2 o Required investment: $35M o Risk-adjusted discount rate: 10% o Risk-free rate: 6%  Find : Estimate the volatility.

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Analytical Approach to Determine σ 3-point estimates

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Estimation of V T Distribution Project’s Volatility

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Option Value Calculation

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved

Contemporary Engineering Economics, 6 th edition Park Copyright © 2016 by Pearson Education, Inc. All Rights Reserved Summary o Real options analysis provides a new way of managing business risk. o 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.