A Real Options Model for the Financial Valuation of Infrastructure Systems Under Uncertainty

Total Page:16

File Type:pdf, Size:1020Kb

A Real Options Model for the Financial Valuation of Infrastructure Systems Under Uncertainty A REAL OPTIONS MODEL FOR THE FINANCIAL VALUATION OF INFRASTRUCTURE SYSTEMS UNDER UNCERTAINTY A Dissertation Presented to The Academic Faculty by Hamed Haj Kazem Kashani In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the School of Building Construction Georgia Institute of Technology May 2012 A REAL OPTIONS MODEL FOR THE FINANCIAL VALUATION OF INFRASTRUCTURE SYSTEMS UNDER UNCERTAINTY Approved by: Dr. Baabak Ashuri, Advisor Dr. Keith R. Molenaar School of Building Construction Department of Civil, Environmental and Georgia Institute of Technology Architectural Engineering University of Colorado at Boulder Dr. Daniel Castro-Lacouture Dr. Adjo A. Amekudzi School of Building Construction School of Civil and Environmental Georgia Institute of Technology Engineering Georgia Institute of Technology Professor Kathy O. Roper Mr. Darryl VanMeter, P.E. School of Building Construction Office of Innovative Program Delivery Georgia Institute of Technology Georgia Department of Transportation Date Approved: March 14, 2012 Dedicated To My Mother Nahid and My Father Ahmad ACKNOWLEDGEMENTS I would like to express my gratitude to my advisor, Dr. Baabak Ashuri, for his insightful guidance, encouragement, dedication and patience throughout my graduate studies. Working with him has been an invaluable lifetime experience for me. His technical and editorial advice was essential to the completion of this dissertation and has taught me innumerable lessons and insights on the workings of academic research in general. I would like to thank the members of my doctoral examination committee, Dr. Daniel Castro-Lacouture, Professor Kathy Roper, Dr. Keith Molenaar, Dr. Adjo Amekudzi and Mr. Darryl VanMeter. They provided many valuable comments that helped me improve the contents and presentation of this dissertation. The friendship of Jian Lu, Mohsen Shahandashti and Kia Mostaan is much appreciated and has led to many interesting and good-spirited discussions relating to this research. Thanks are also extended to all the faculty members at the School of Building Construction. Thanks are also due to Lorie Wooten, Jacquelyn Strickland and Brenda Morris for their administrative support. Finally, I would like to thank my parents, Nahid and Ahamd, for all their love and encouragement. They raised me, taught me, loved me and supported me in all my pursuits. They receive my deepest gratitude and love. iv TABLE OF CONTENTS ACKNOWLEDGEMENTS .......................................................................................................................... iv LIST OF TABLES ..................................................................................................................................... viii LIST OF FIGURES ...................................................................................................................................... ix GLOSSARY OF KEY TERMS .................................................................................................................... xi SUMMARY .................................................................................................................................................. xii CHAPTER 1 INTRODUCTION ..................................................................................... 1 Research Background ....................................................................................................................................... 1 State of Knowledge .......................................................................................................................................... 8 Gaps in Knowledge .......................................................................................................................................... 9 Estimation of the Project Volatility for Real Options Analysis ................................................................... 9 Finding the Market Value of Real Options in Transportation Project ....................................................... 10 Characterizing the Concessionaire’s Risk Profile under UUncertainty ........................................................ 11 Research Objectives ....................................................................................................................................... 11 Organization of Dissertation .......................................................................................................................... 12 CHAPTER 2 LITERATURE REVIEW ....................................................................... 13 Public-Private Partnership (PPP) .................................................................................................................... 14 Concept of Public-Private Partnership....................................................................................................... 14 Potential Benefits of Public-Private Partnerships ...................................................................................... 17 Concerns Related to the Utilization of Public-Private Partnerships .......................................................... 21 Sources of Financing in Public-Private Partnership Projects .................................................................... 24 General Patterns of Financing Public-Private Partnership Projects ........................................................... 29 Miller’s Quadrant Framework ................................................................................................................... 31 Types of PPP Contracts ............................................................................................................................. 34 v BOT Transportation Projects ..................................................................................................................... 39 Risks in BOT Projects ............................................................................................................................... 42 Traffic Demand Uncertainty and Revenue Risk in BOT Transportation Projects .................................... 45 Traffic Revenue Risk Allocation in BOT Highway Projects ..................................................................... 49 Pricing Minimum Revenue Guarantee and Traffic Revenue Cap Options .................................................... 53 Net Present Value Analysis ....................................................................................................................... 55 Real Options .............................................................................................................................................. 58 Gaps in Knowledge ................................................................................................................................... 73 Research Objectives .................................................................................................................................. 75 CHAPTER 3 REAL OPTIONS MODEL FOR THE FINANCIAL VALUATION OF INFRASTRUCTURE SYSTEMS UNDER UNCERTAINTY ............................. 77 Establish Information Requirements .............................................................................................................. 82 Model Uncertainty about Long-term Traffic Demand ................................................................................... 85 Generate Random Traffic Demand Paths .................................................................................................. 90 Conduct Lifecycle Cost and Revenue Analysis under Traffic Demand Uncertainty without Real Options . 93 Price Minimum Revenue Guarantee and Traffic Revenue Cap Options ........................................................ 94 Estimate Project Volatility for Real Options Analysis .............................................................................. 96 Find the Market Value of Real Options in BOT Transportation Projects .............................................. 102 CHAPTER 4 ILLUSTRATIVE EXAMPLE .............................................................. 110 Incheon International Airport Highway (IIAH) ........................................................................................... 110 Background ............................................................................................................................................. 110 Traffic Demand Projections..................................................................................................................... 111 Project Financing ..................................................................................................................................... 112 Minimum Revenue Guarantee and Traffic Revenue Cap ........................................................................ 114 Summary of Results ..................................................................................................................................... 115 CHAPTER 5 LIMITATIONS OF THE PROPOSED REAL OPTIONS MODEL, IMPLEMENTATION BARRIERS AND RECOMMENDATIONS FOR FURTHER vi RESEARCH .................................................................................................................. 133 Limitations of the Proposed Real Options Model ........................................................................................ 134 Single Source of Uncertainty ................................................................................................................... 134 Estimation of Input Parameters
Recommended publications
  • Real Options Valuation As a Way to More Accurately Estimate the Required Inputs to DCF
    Northwestern University Kellogg Graduate School of Management Finance 924-A Professor Petersen Real Options Spring 2001 Valuation is at the foundation of almost all finance courses and the intellectual foundation of most valuation methods which we will examine is discounted cashflow. In Finance I you used DCF to value securities and in Finance II you used DCF to value projects. The valuation approach in Futures and Options appeared to be different, but was conceptually very similar. This course is meant to expand your knowledge of valuation – both the intuition of how it should be done as well as the practice of how it is done. Understanding when the two are the same and when they are not can be very valuable. Prerequisites: The prerequisite for this course is Finance II (441)/Turbo (440) and Futures and Options (465). Given the structure of the course, no auditors will be allowed. Course Readings: Course Packet for Finance 924 - Petersen Warning: This is a relatively new course. Thus you should expect that the content and organization of the course will be fluid and may change in real time. I reserve the right to add and alter the course materials during the term. I understand that this makes organization challenging. You need to keep on top of where we are and what requirements are coming. If you are ever unsure, ASK. I will keep you informed of the schedule via the course web page. You should check it each week to see what we will cover the next week and what assignments are due.
    [Show full text]
  • Empirical Testing of Real Option in the Real Estate Market
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Available online at www.sciencedirect.com ScienceDirect Procedia Economics and Finance 24 ( 2015 ) 50 – 59 International Conference on Applied Economics, ICOAE 2015, 2-4 July 2015, Kazan, Russia Empirical Testing of Real Option in the Real Estate Market Andrejs Čirjevskisa*, Ernests Tatevosjansb a RISEBA, Meza street 3, Riga LV 1048, Latvia, bRISEBA, Meza street 3, Riga LV 1048, Latvia Abstract Existing researches have used real options valuation (ROV) theory to study investment in energy, oil and gas, and pharmaceutical sectors, yet little works have empirically examined ROV theory to study investment in a real estate market of EU countries that undergone severe economic crisis and now recovering. The aim of this paper is to test empirically ROV application for real estate development project with significant volatility in terms of price and cost and under strict legislation’s constraints. Paper illustrates empirical testing of ROV application of the investment project “Sun Village” developed by the ABC Project Ltd Company in Latvia in 2014. We apply three ROV methods: option space matrix “Tomato Garden”, Black-Scholes option pricing model and binominal option pricing model before we presented final research result. The flow chart of ROV application in real estate development projects presented in our research can serve as a “road map” for many similar projects in EU suffering real estate market bubble burst and present uncertainty. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license © 2015 The Authors.
    [Show full text]
  • Real Option Valuation Real Option Valuation in High-Tech Firm Tech Firm
    Gothenburg University Schoool of Economics and Commercial Law Industrial and Financial Program Real Option Valuation in High-Tech Firm Supervisor: Wilhborg Clas Authors: Hu Pengfei Hua Yimin Real Option Valuation in High-Tech Firm Abstract In traditional financial theory, the discounted cash flow model (or NPV) operates as the basic framework for most analyses. In doing valuation analysis, the conventional view is that the net present value (NPV) of a project is the measure of the value that is the present value of expected cash flows added to the initial cost. Thus, investing in a positive (negative) net present value project will increase (decrease) value. Recently, this framework has come under some fire for failing to consider the options which are the managerial flexibilities, which are the collection of opportunities. A real-option model (Option-based strategic NPV model) is estimated and solved to yield the value of the project as well as the option value that is associated with managerial flexibilities. Most previous empirical researchers have considered the initial-investment decision (based on NPV model) but have neglected the possibility of flexible operation thereafter. Now the NPV must be compared with the strategic option value, by which investment is optimal while the NPV is negative. This leads investors to losing the chances to expand themselves. In the paper we modify the NPV by taking into account real options— theme of this paper, or strategic interactions. R&D, Equity and Joint Ventures will be viewed as real options in practice of case studies of this paper. Keywords: Discount rate, Net present value (NPV), Option(s) and valuation i Hu/Hua Real Option Valuation in High-Tech Firm Acknowledgments Those persons who have inspired us, helped us, or corrected us in the course of time are too numerous to be named.
    [Show full text]
  • The Importance of the Capital Structure in Credit Investments: Why Being at the Top (In Loans) Is a Better Risk Position
    Understanding the importance of the capital structure in credit investments: Why being at the top (in loans) is a better risk position Before making any investment decision, whether it’s in equity, fixed income or property it’s important to consider whether you are adequately compensated for the risks you are taking. Understanding where your investment sits in the capital structure will help you recognise the potential downside that could result in permanent loss of capital. Within a typical business there are various financing securities used to fund existing operations and growth. Most companies will use a combination of both debt and equity. The debt may come in different forms including senior secured loans and unsecured bonds, while equity typically comes as preference or ordinary shares. The exact combination of these instruments forms the company’s “capital structure”, and is usually designed to suit the underlying cash flows and assets of the business as well as investor and management risk appetites. The most fundamental aspect for debt investors in any capital structure is seniority and security in the capital structure which is reflected in the level of leverage and impacts the amount an investor should recover if a company fails to meet its financial obligations. Seniority refers to where an instrument ranks in priority of payment. Creditors (debt holders) normally have a legal right to be paid both interest and principal in priority to shareholders. Amongst creditors, “senior” creditors will be paid in priority to “junior” creditors. Security refers to a creditor’s right to take a “mortgage” or “lien” over property and other assets of a company in a default scenario.
    [Show full text]
  • Infrastructure Financing Instruments and Incentives
    Infrastructure Financing Instruments and Incentives 2015 Infrastructure Financing Instruments and Incentives Contact: Raffaele Della Croce, Financial Affairs Division, OECD Directorate for Financial and Enterprise Affairs [Tel: +33 1 45 24 14 11 | [email protected]], Joel Paula, Financial Affairs Division, OECD Directorate for Financial and Enterprise Affairs [Tel: +33 1 45 24 19 30 | [email protected]] or Mr. André Laboul, Deputy-Director, OECD Directorate for Financial and Enterprise Affairs [Tel: +33 1 45 24 91 27 | [email protected]]. FOREWORD Foreword This taxonomy of instruments and incentives for infrastructure financing maps out the investment options available to private investors, and which instruments and incentives are available to attract private sector investment in infrastructure. The coverage of instruments is comprehensive in nature, spanning all forms of debt and equity and risk mitigation tools deployed by governments and agents. While the taxonomy is meant to capture all forms of private infrastructure finance techniques, a focus of this work is to identify new and innovative financing instruments and risk mitigation techniques used to finance infrastructure assets. Part I of this report provides the foundation for the identification of effective financing approaches, instruments, and vehicles that could broaden the financing options available for infrastructure projects and increase as well as diversify the investor base, potentially lowering the cost of funding and increasing the availability of financing in infrastructure sectors or regions where investment gaps might exist. Part II identifies the range of incentives and risk mitigation tools, both public and private, that can foster the mobilisation of financing for infrastructure, particularly those related to mitigating commercial risks.
    [Show full text]
  • Our Practice
    OUR PRACTICE Capital Raising Services Operating a business in the financial services industry requires raising and maintaining sufficient capital to comply with minimum regulatory requirements. During the past several years, these requirements have become more onerous for clients seeking to form new entities as well as those that are focused upon significant growth and expansion opportunities. Baker Donelson's team members are well-versed in both banking and securities laws, and we help our clients navigate the complex requirements of both sets of laws in raising capital. Some examples of the capital-raising services we provide for clients in the financial services industry include: Counseling clients on minimum capital regulatory requirements and working with clients to develop capital structures and transaction documents, plus offering procedures that comply with both banking and securities laws. Providing securities advice to clients seeking to raise capital for corporate needs, including evaluating various types of debt and equity instruments to meet those needs. Working with clients to structure capital-raises in conjunction with various types of corporate and regulatory events, such as acquisition opportunities, redemptions of securities from existing investors, and raising capital in response to regulatory enforcement actions. Helping clients with initial public offerings (IPOs) for those businesses whose strategy is to become a public company, and helping clients with going-private transactions for those whose strategy is to cease being a public company. Related Services In addition to assisting clients in the financial services industry with raising capital, our team provides Regulatory and Compliance Services, Corporate Services, and Merger and Acquisition Services. For more information about Baker Donelson's experience and attorneys who advise clients on all aspects of securities law, including raising capital, please refer to the description of our Securities and Corporate Governance practice group.
    [Show full text]
  • A Guide to Understanding the Complex Universe of Private Debt Assets
    Alternative credit and its asset classes A guide to understanding the complex universe of private debt assets First edition, May 2017 For professionals Important disclosure: The opinions expressed and conclusions reached by the authors in this publication are their own and do not represent an official position. The publication has been prepared solely for the purpose of information and knowledge-sharing. Neither NN Investment Partners B.V., NN Investment Partners Holdings N.V. nor any other company or unit belonging to NN Group make no guarantee, warranty or representation, express or implied, to the accuracy, correctness or completeness thereof. Readers should obtain professional advice before making any decision or taking any action that may affect their finances or business or tax position. This publication and its elements may contain information obtained from third parties, including ratings from credit rating agencies. Reproduction and distribution of (parts of) this publication, logos, and third party content in any form is prohibited, except with the prior written permission of NN Investment Partners B.V. or NN Investment Partners Holdings N.V. or the third party concerned. © 2017 NN Investment Partners is part of NN Group N.V. NN Group N.V. is a publicly traded corporation, and it and its subsidiaries are currently using trademarks including the “NN” name and associated trademarks of NN Group under license. All rights reserved. Alternative credit and its asset classes A guide to understanding the complex universe of private debt assets Table of contents Preface ...............................................................................................................................................................6 1. Introduction .................................................................................................................... 8 2. The history and rise of alternative credit .....................................................................11 2.1.
    [Show full text]
  • Recent Trends in Second Lien Loans
    VEDDERPRICE ® Finance and Transactions Group Winter 2008–2009 Special Report “SECOND LIEN” LOANS Executive Summary. During the past few years, the financial markets have enabled borrowers to issue multiple layers of debt in sophisticated fi nancings, particularly in the case of highly leveraged companies. Thus, second lien fi nancing has not only become a recognized part of the capital structure of such fi nancings, but has experienced impressive expansion. The “market” terms that govern the second lien layer of debt evolved in light of increased involvement of nonbank investors (i.e., private equity sponsors, hedge funds, distressed debt funds, etc.). As the continued level of involvement of these nonbank investors remains uncertain and the credit markets tighten, the relationships between senior and junior secured lenders will change and certain provisions not typically found in recent intercreditor agreements may once again surface. This article discusses in detail the recent progression of second lien fi nancing structures and certain relevant intercreditor provisions (including payment subordination, enforcement actions, amendment rights and rights in bankruptcy) that may face increased scrutiny by fi rst lien and second lien lenders alike. WWW.VEDDERPRICE.COM VEDDERPRICE RECENT TRENDS IN SECOND LIEN LOANS Over the past several years, lenders have offered quarterly reviews, between 2003 and 2005, borrowers many alternative fi nancing vehicles as second lien loan volume spiked from $3.1 billion to options for fi nancing their acquisitions, corporate $16.3 billion. By 2006, LCD that reported the restructurings or operations. The creative and volume increased to $28.3 billion; in 2007, the complex fi nancing structures that resulted gave volume grew to nearly $30 billion, with more than rise to many different classes and types of lien 90% of the loans funded during the fi rst three priorities.
    [Show full text]
  • The Odyssey of Financial Restructuring Under the US Bankruptcy Code
    The Odyssey of Financial Restructuring Under the US Bankruptcy Code Carlos A. Abadi December 11, 2019 Abstract I present a model of a financially distressed firm with outstanding bank and bond debt. I rely on the objective criterion of investment efficiency to lead the reader through the journey and choices facing the distressed firm and its creditor through the many choices facing each constituency along the long and tortuous way { seen from the perspective of US corporate and bankruptcy law { culminating in the firm’s financial restructuring either in- or out-of-court) or its liquidation 1 During the late 1980s there was a dramatic increase in the leverage of U.S. corporations, raising concerns about the corporate sectors' financial stability. Indeed, by June 1990, 156 (24%) of the 662 companies that issued high-yield bonds between 1977 and 1988 had either defaulted, gone bankrupt, or restructured their public debt. The face value of those distressed bonds amounted to nearly $21 billion. The central question raised by those distressed firms is easy to put but hard to answer: What is the effect of financial distress on a firm’s operating performance? There are two competing views. The first, an application of the Coase Theorem, holds that there are no real effects of financial distress.1 Critical to this view is the distinction between financial and economic distress. Admittedly, most firms in financial trouble also suffer from poor operating performance. No amount of financial maneuvering can save these economically distressed firms. If, however, a firm’s capital structure prevents from pursuing its value- maximizing operating strategy, creditors will restructure their claims to maximize firm value.
    [Show full text]
  • Troubled Debt Restructurings
    Journal of Financial Economics 27 (1990) 315-353. North-Holland Troubled debt restructurings An empirical study of private reorganization of firms in default* Stuart C. Gilson The Unicersity of Texas at Austin, Austin, TX 78712, USA Kose John and Larry H.P. Lang New York University, New York, NY 10003, USA Received November 1989, final version received May 1990 This study investigates the incentives of financially distressed firms to restructure their debt privately rather than through formal bankruptcy. In a sample of 169 financially distressed companies, about half successfully restructure their debt outside of Chapter 11. Firms more likely fo restructure their debt privately have more intangible assets, owe more of their debt to banks, and owe fewer lenders. Analysis of stock returns suggests that the market is also able to discriminate er ante between the two sets of firms, and that stockholders are systematically better off when debt is restructured privately. 1. Introduction With, the proliferation of leveraged buyouts (LBOs) and other highly leveraged transactions, there has been growing popular concern that the corporate sector is being burdened with too much debt. Much of this concern *We would like to thank Edward Altman. Yakov Amihud, Sugato Bhattacharya, Keith Brown, Robert Bruner, T. Ronald Casper, Charles D’Ambrosio, Larry Dann, Oliver Hart, Gailen Hite, Max Holmes, Scott Lee, Gershon Mandelker. Scott Mason, Robert Merton, Wayne Mikkelson, Megan Partch, Ramesh Rao, Roy Smith, Chester Spatt, Gopala Vasudevan, and Richard West for their helpful comments. We are especially grateful to Michael Jensen (the editor) and Karen Wruck (the referee) for their many detailed and thoughtful suggestions.
    [Show full text]
  • Valuing Debt in a Down Market – Implications from the New AICPA PE/VC Guide Amanda Miller, EY Shaan Elbaum, Pwc Overview: the AICPA PE/VC Valuation Guide
    Valuing Debt in a Down Market – Implications from the New AICPA PE/VC Guide Amanda Miller, EY Shaan Elbaum, PwC Overview: the AICPA PE/VC valuation guide The final version of the new AICPA PE/VC Valuation Guide was released on 15 August 2019. Goals of the guide: • Harmonize the diverse views of industry participants, auditors and valuation specialists • Provide user friendly guidance with case studies that can be used to reason through real situations faced by investment fund managers, valuation specialists and auditors Final version released August 2019: • Non-authoritative (like all other AICPA guides issued) • Reflects consensus, including input from industry • Comments from review period on working draft were helpful and resulted in minor changes. • Funds should expect to consider the impact of the guide for 2019 valuations. Scope of guide • Applies to companies covered by FASB ASC 946 – Investment Companies, reporting fair value in accordance with FASB ASC 820 – Fair Value Measurement • Valuation guidance may apply to investments valued under IFRS and for corporate investors as well • Assets covered: portfolio company investments, defined as equity and debt instruments in privately held enterprises and certain enterprises with traded instruments • Does not address disclosures Debt valuation – When debt is the unit of account • Fair value of debt instruments • If you have a traded price as of the measurement date this may be the best estimate of fair value, assuming the transaction is determined to be orderly. • When a traded price as of the measurement date is not available or is deemed to not be determinative of fair value, the typical valuation technique is the yield method.
    [Show full text]
  • Proskauer Rose May 2009.Indd
    FINANCIERWORLDWIDEcorporatefinanceintelligence Ten key issues that the loan market association failed to address in their new intercreditor agreement | BY MICHAEL CROSBY he new model intercreditor agreement recently released by the the time the standstill expires the assets have been sold and the mez- Loan Market Association (LMA) failed to address several issues of zanine lenders are left with whatever proceeds remain and a claim for keyT importance to mezzanine lenders. While presented as a suggested breach of contract. form for multi-tranche financings, mezzanine lenders should resist em- bracing this document as a standard form until several inequities are 4. Carving out expenses from the ‘lock-up’ addressed through redrafting. Not surprisingly, the form is very senior- One of the major obstacles for mezzanine lenders in a restructuring is lender favourable and exacerbates many of the difficulties mezzanine often their inability to recover costs and expenses for advisers. Without lenders are experiencing in today’s restructurings. Mezzanine lenders professional advisers, mezzanine lenders may not fully explore their are entitled to a seat at the table in a restructuring and should fight to contractual and statutory rights. The LMA precludes mezzanine lenders include the following issues in their next intercreditor agreement. from recovering their costs and expenses while a stop notice is in effect. Following the occurrence of an event of default, mezzanine lenders 1. Providing that a sale of collateral meets certain minimum stand- should have the ability, like senior lenders, to instruct lawyers and other ards professional advisers at the expense of the borrower. With the prevalence of cross-border transactions, there should be certain minimum standards for dispositions of collateral that apply across all 5.
    [Show full text]