To see revisions of this document or browse other course outlines, please Log In

Real options and investment under uncertainty Winter 2023
ECON 659

Published Nov 25, 2022

Class Schedule

Please log in to view this content.

Instructor & TA (Teaching Assistant) Information

Please log in to view this content.

Course Description

ECON 659:

This course considers the application of option concepts from finance to value real assets. The focus is on using real options theory and methodology to value investments characterized by uncertainty, irreversibility, and flexibility in the timing of irreversible expenditures. The course begins with an introduction to stochastic processes, Ito's Lemma, the Black-Scholes equation, contingent claims analysis and dynamic programming. Methods to solve simple option value problems will be presented, such as binomial trees and Monte Carlo simulation. Applications will focus on problems in natural resource and environmental economics, such as valuing the option to drill for oil or install pollution control equipment and, time permitting, other applications in economics.

Background required

Knowledge of microeconomic theory, basic calculus and linear algebra and some experience with differential equations are required.  Assignments require some programming in Matlab, which students are expected to learn on their own.  Alternatively, with the approval of the instructor, students may use an alternative programming language of their choice, such as R or Python. Please contact the instructor if you wish to use something other than Matlab. 

Learning Outcomes

By the end of this course students should be able to:
Explain why and how uncertainty and irreversibility affect a firm's optimal investment decisions.
Explain the analogy between financial options and a firm's decision to undertake capital investment, and describe how real options analysis fits into the broader topic of investment under uncertainty.
Explain key building blocks for valuing investment under uncertainty including stochastic differential equations, dynamic programming, Hamilton-Jacobi-Bellman equations, and risk neutral valuation.
Analyze simple problems of investment under uncertainty, determining a closed form solution if available or using a simple numerical technique.
Read and critique a relevant academic paper, and present a summary of the paper's motivation and results to an audience of the student's peers.

Tentative Course Schedule

 

Introduction

 

Week 1 (Jan 10 and 12) 

  1. Traditional investment theory versus the options approach
  2.  Introduction to financial options
  3.  A two period real options example
  4.  Extending the example to more periods

 

Readings

  • Dixit & Pindyck, Ch 1 and 2
  • Trigeorgis Ch1 
  • Hull, Chapter on the mechanics of options markets

            

Stochastic processes and Ito’s lemma

 

Week 2 (Jan 17 and 19) 

  1. Introduction to stochastic processes 
  2. The Wiener process
  3.  Random walk representation of Brownian motion
  4.  Ito processes

 

Readings

  • *Hull, Chapters on Wiener Processes and Itos’s Lemma, the Black Scholes Merton Model
  • *Dixit and Pindyck, Chapter 3
  • *Forsyth, Sections 2.5 and 2.6
  • Various chapters in Neftci
  • Various chapters in Ross

 

Week 3 (Jan 24 and 26)

  1.  Ito’s Lemma
  2.  Jump processes

 

Dynamic optimization under uncertainty

 

Week 4 (Jan 31 and Feb 2) and Week 5 (Feb 7 and 9)

(Assignment 1 due on Feb 2)

  1. Dynamic programming and the Bellman equation   
  2. Contingent claims approach to valuing a risky asset, Black Scholes equation and risk neutral valuation

 

Week 6 (Feb 14 and 16),  Midterm on Feb 14

  1. Capital asset pricing model
  2. Valuing a forward contract

 

Readings

  • * Dixit and Pindyck, Chapters 4
  • Trigeorgis, Chapters 2 and 3
  • Any introductory corporate finance text

Feb 21 – 25: Reading Week

 

Simple models of investment valuation and optimal investment timing

Week 7 (Feb 28 and March 2) 

  1. A basic investment problem when the value of the project follows GBM

Week 8 (March 7 and 9) 

  1. Comparative statics for the stochastic case
  2.  A more realistic investment problem

Week 9 (March 14 and 16) (Assignment 2 due on March 14)

  1. Extensions of these basic investment problems        

Readings

  • *Dixit and Pindyck, Chapters 5 and 6

            

Introduction to numerical methods for solving real option problems

 

Week 10 (March 21 and 23) 

  1.  Introduction
  2.  Binomial trees
  3.  Monte Carlo methods
  4. Data driven approaches without parametric model assumptions

Readings

  • *Forsyth
    • Section 5, The Binomial Model, Intro, Sections 5.1, 5.2, 5.5
    • Section 4, Monte Carlo Methods, Intro and Sections 4.1, 4.5, 4.7, 4.9
    • Section 12.5 Bootstrap resampling
  • *Hull, Chapter on Basic Numerical Procedures

Week 11 (March 28 and 30)

  1. Finishing up lecture material as needed finishing up lecture material as needed.  Begin Presentations

Week 12 (April 4 and 6), Paper write-up due April 6

  1. Finish presentations.

 

 

Texts / Materials

Title / Name Notes / Comments Required
Dixit and R. Pindyck, (1994) Investment under Uncertainty, Princeton University Press. Available through the library Yes
Hull, John C. (2006) Options, Futures, and Other Derivatives, Pearson, Prentice, Hall. Many editions of this book are available. Provides a useful introduction to financial options. No
Neftci, Salih N. (2000), An Introduction to the Mathematics of Financial Derivatives, second edition, Academic Press. A useful reference No
Ross, Sheldon M. (1999) An Introduction to Mathematical Finance: Options and Other Topics, Cambridge University Press. A useful reference No

Student Assessment

Component Value
Assignment 1 (Due Thurs Feb 2) 10%
Midterm (In class, Tuesday Feb 14) 20%
Assignment 2 (Due Tues March 14) 10%
Project (Project writeup due Thurs April 6) 20%
Final exam (Date to be determined) 40%

Midterm

  • A student who misses the midterm should contact me within two days after the missed midterm to make arrangements to write a make-up midterm.  
  • Students with a concern about the marking of a midterm must consult with me within two weeks of the date that it is returned to the class.  After two weeks, I will not make any adjustments to a midterm mark.

Assignments

  • It is permitted to consult with other students regarding the assignment questions, however the final work submitted must be your own.  Students who submit identical (or nearly identical) assignments will receive a grade of zero. 

 

  • Assignments are to be submitted to the designated Dropbox on LEARN.  Assignments may be handwritten or typewritten.

 

  • Students with a concern about the marking of an assignment must consult with me within two weeks of the date that it is returned to the class.  After two weeks I will not make any adjustments to a assignment mark.

 

  • Policy on Late Assignments: Normally, a deduction of 5% per day will be applied to an assignment handed in late.   If the student is late handing in an assignment due to a self-declared absence or other special circumstance, the student should contact the instructor as soon as possible.  Information on self-declared absences can be found here: https://uwaterloo.ca/quest/help/students/how-do-i/self-declare-absence-undergraduate-students.

 

Assignment Screening

No assignment screening will be used in this course.

Administrative Policy

Intellectual Property

Students should be aware that this course contains the intellectual property of their instructor, TA, and/or the University of Waterloo. 

Intellectual property includes items such as:

  • Lecture content, spoken and written (and any audio/video recording thereof);
  • Lecture handouts, presentations, and other materials prepared for the course (e.g., PowerPoint slides);
  • Questions or solution sets from various types of assessments (e.g., assignments, quizzes, tests, final exams); and
  • Work protected by copyright (e.g., any work authored by the instructor or TA or used by the instructor or TA with permission of the copyright owner).

Course materials and the intellectual property contained therein, are used to enhance a student’s educational experience. However, sharing this intellectual property without the intellectual property owner’s permission is a violation of intellectual property rights.  For this reason, it is necessary to ask the instructor, TA and/or the University of Waterloo for permission before uploading and sharing the intellectual property of others online (e.g., to an online repository).

Permission from an instructor, TA or the University is also necessary before sharing the intellectual property of others from completed courses with students taking the same/similar courses in subsequent terms/years.  In many cases, instructors might be happy to allow distribution of certain materials. However, doing so without expressed permission is considered a violation of intellectual property rights.

Please alert the instructor if you become aware of intellectual property belonging to others (past or present) circulating, either through the student body or online. The intellectual property rights owner deserves to know (and may have already given their consent).

Chosen/Preferred First Name

Do you want professors and interviewers to call you by a different first name? Take a minute now to verify or tell us your chosen/preferred first name by logging into WatIAM.

Why? Starting in winter 2020, your chosen/preferred first name listed in WatIAM will be used broadly across campus (e.g., LEARN, Quest, WaterlooWorks, WatCard, etc). Note: Your legal first name will always be used on certain official documents. For more details, visit Updating Personal Information.

Important notes

  • If you included a preferred name on your OUAC application, it will be used as your chosen/preferred name unless you make a change now.
  • If you don’t provide a chosen/preferred name, your legal first name will continue to be used.

Mental Health Support

All of us need a support system. The faculty and staff in Arts encourage students to seek out mental health support if they are needed.

On Campus

Due to COVID-19 and campus closures, services are available only online or by phone.

  • Counselling Services:  counselling.services@uwaterloo.ca / 519-888-4567 ext. 32655
  • MATES:  one-to-one peer support program offered by the Waterloo Undergraduate Student Association (WUSA) and Counselling Services

Off campus, 24/7

  • Good2Talk:  Free confidential help line for post-secondary students. Phone: 1-866-925-5454
  • Grand River Hospital: Emergency care for mental health crisis. Phone: 519-749-4300 ext. 6880
  • Here 24/7: Mental Health and Crisis Service Team. Phone: 1-844-437-3247
  • OK2BME: set of support services for lesbian, gay, bisexual, transgender or questioning teens in Waterloo.  Phone: 519-884-0000 extension 213

Full details can be found online on the Faculty of Arts website

Download UWaterloo and regional mental health resources (PDF)

Download the WatSafe app to your phone to quickly access mental health support information.

Territorial Acknowledgement

We acknowledge that we are living and working on the traditional territory of the Attawandaron (also known as Neutral), Anishinaabe and Haudenosaunee peoples. The University of Waterloo is situated on the Haldimand Tract, the land promised to the Six Nations that includes ten kilometres on each side of the Grand River.

For more information about the purpose of territorial acknowledgements, please see the CAUT Guide to Acknowledging Traditional Territory.

Academic freedom at the University of Waterloo

Policy 33, Ethical Behaviour states, as one of its general principles (Section 1), “The University supports academic freedom for all members of the University community. Academic freedom carries with it the duty to use that freedom in a manner consistent with the scholarly obligation to base teaching and research on an honest and ethical quest for knowledge. In the context of this policy, 'academic freedom' refers to academic activities, including teaching and scholarship, as is articulated in the principles set out in the Memorandum of Agreement between the FAUW and the University of Waterloo, 1998 (Article 6). The academic environment which fosters free debate may from time to time include the presentation or discussion of unpopular opinions or controversial material. Such material shall be dealt with as openly, respectfully and sensitively as possible.” This definition is repeated in Policies 70 and 71, and in the Memorandum of Agreement, Section 6

Cross-listed courses

Please note that a cross-listed course will count in all respective averages no matter under which subject code it has been taken. For example, a PHIL/PSCI cross-list will count in a Philosophy major average, even if the course was taken under the Political Science subject code.

Economics Department Deferred Final Exam Policy

All deferred Final Exam requests for economics courses are administered by the Economics Undergraduate Office. Please consult the Deferred Exam Policy at 

https://uwaterloo.ca/economics/undergraduate/resources-and-policies/deferred-final-exam-policy.

University Policy

Academic integrity: In order to maintain a culture of academic integrity, members of the University of Waterloo community are expected to promote honesty, trust, fairness, respect and responsibility. [Check the Office of Academic Integrity for more information.]

Grievance: A student who believes that a decision affecting some aspect of their university life has been unfair or unreasonable may have grounds for initiating a grievance. Read Policy 70, Student Petitions and Grievances, Section 4. When in doubt, please be certain to contact the department’s administrative assistant who will provide further assistance.

Discipline: A student is expected to know what constitutes academic integrity to avoid committing an academic offence, and to take responsibility for their actions. [Check the Office of Academic Integrity for more information.] A student who is unsure whether an action constitutes an offence, or who needs help in learning how to avoid offences (e.g., plagiarism, cheating) or about “rules” for group work/collaboration should seek guidance from the course instructor, academic advisor, or the undergraduate associate dean. For information on categories of offences and types of penalties, students should refer to Policy 71, Student Discipline. For typical penalties, check Guidelines for the Assessment of Penalties.

Appeals: A decision made or penalty imposed under Policy 70, Student Petitions and Grievances (other than a petition) or Policy 71, Student Discipline may be appealed if there is a ground. A student who believes they have a ground for an appeal should refer to Policy 72, Student Appeals.

Note for students with disabilities: AccessAbility Services, located in Needles Hall, Room 1401, collaborates with all academic departments to arrange appropriate accommodations for students with disabilities without compromising the academic integrity of the curriculum. If you require academic accommodations to lessen the impact of your disability, please register with AccessAbility Services at the beginning of each academic term.

Turnitin.com: Text matching software (Turnitin®) may be used to screen assignments in this course. Turnitin® is used to verify that all materials and sources in assignments are documented. Students' submissions are stored on a U.S. server, therefore students must be given an alternative (e.g., scaffolded assignment or annotated bibliography), if they are concerned about their privacy and/or security. Students will be given due notice, in the first week of the term and/or at the time assignment details are provided, about arrangements and alternatives for the use of Turnitin in this course.

It is the responsibility of the student to notify the instructor if they, in the first week of term or at the time assignment details are provided, wish to submit alternate assignment.