A BETTER UNDERSTANDING OF WHY NPV UNDERVALUES MANAGERIAL FLEXIBILITY

The Real Options paradigm addresses the valuation of managerial flexibility in capital budgeting. Despite the great strides achieved by researchers in this field, many financial analysts have chosen not to adopt this new paradigm due to a lack of comfort with the approach and the mathematical complexity of the valuation models. This article shows how some projects with real options can be valued using simple and familiar tools-discounting expected cash flows after adjusting the discount rate. Unless the discount rate is adjusted to account for the impact of real options on risk, a traditional net present value (NPV) analysis misses the value of flexibility. By narrowing the gulf between Real Options analysis and more familiar tools, the weighted average discount rate (WADR) approach introduced in this paper may help novices better understand die Real Options paradigm, which subsequently may gain the wider acceptance it deserves. Though the WADR approach is practical only for simple real options, comfort with the approach may encourage analysts to pursue more advanced and robust real option valuation techniques for more complex applications.     

Strategic NPV: Real Options and Strategic Games under Different Information Structures

Research summary : Among the most difficult firm strategic choices is the trade‐off between making a long‐term commitment or holding off on investment in the face of uncertainty. To operationalize strategic management theory under demand, technological and competitive uncertainty, we develop a Strategic Net Present Value (NPV) framework that integrates real options and game theory to quantify value components and interactions at the interface between NPV, real options, and strategic games. Our approach results in new propositions clarifying the way learning‐experience conditions, technological uncertainty, and proprietary information interact to tilt the balance in the interplay between wait‐and‐see flexibility and strategic commitment. As such, Strategic NPV adds to our understanding of the conditions where NPV, real options, or strategic thinking are more relevant. Managerial summary : This study develops and elucidates implementation of a new valuation construct, “Strategic Net Present Value (NPV),” that integrates real options and game theory to more accurately portray strategic decisions underlying management theory. Among the most difficult firm strategic choices in capital intensive industries, such as energy, mining, chip manufacturing, and infrastructure development, is the trade‐off between making a long‐term commitment or holding off on investment in the face of demand, technological, and competitive uncertainties. The study provides new insights on the way various conditions, such as learning‐experience effects, technological uncertainty, and proprietary information, interact to tilt the balance in the interplay between commitment and wait‐and‐see flexibility. As such, Strategic NPV adds to our understanding of when NPV, real options, or strategic thinking matter more critically for decision making. Copyright © 2017 John Wiley & Sons, Ltd.     

Making real options work for practitioners: a generic model for valuing R&D projects

We propose a generic valuation framework for the appraisal of R&D projects based on real option theory. The added value of this approach is the presentation of a model that was implemented in a manner that allows corporate decision makers to use real options in an intuitive and standardized way. The project valuation procedure is separated into three main phases: project modeling, data and input collection, and result generation and analysis. The project model represents the structure of the real world R&D project with its investments, expected results, and decisions that need to be taken conditionally on the outcomes of research activities. The project model is represented in the form of a decision tree, where different research results or taken decisions lead to new branches. In this way, every possible situation the project can pass through can be represented. Uncertainties are separated into market uncertainties (e.g., market prices) and project specific, private uncertainties (e.g. uncertainty of research results). For both uncertainties, event trees are constructed which are then combined and merged with the above mentioned decision tree in order to represent the value evolution of the R&D project under given decisions and uncertainties. For every possible state of the project the real option value is calculated. By creating multidimensional trees, a multitude of decision steps and various kinds of real options (e.g., continue, expansion, switch, abandonment) can be modeled. The calculation complexity for the decision trees is given. From the tree structure we can calculate the real option value of starting an R&D project, i.e., the value of undertaking the first investment and thus acquiring the subsequent decision opportunities given by the completion of the first research effort. Furthermore, the optimal exercise strategy is derived from the decision tree. The exercise strategy gives the manager the possibility to have an a priori overview of where an R&D project may lead to, which decisions need to be taken in which circumstances, and when the project needs to be stopped in order not to generate losses. In an in‐depth case study we use an illustrative R&D project to set up and discuss the three phases of project modeling in the real options framework: building the multidimensional decision tree, input generation, and calculation of the real option value as well as the optimal strategy for the R&D project.     

Real Option Pricing and Bounds in Incomplete Markets

This article prices a real option and constructs narrow bounds around the value of real options embedded in capital budgeting decisions by applying the minimax deviations approach to real options in incomplete markets. While it is straightforward to obtain the unique value of a real option with hyperbolic absolute risk aversion (HARA) utility functions, the parameters of risk aversion are often subject to misspecification and raise concerns for practical uses. Recognizing that investors allow deviation from parameter values related to a benchmark pricing kernel, we derive narrow bounds on a real option price. Comparison with the approaches in the literature clarifies advantages of the minimax bounds: simple, consistent, and efficient.     

EXPLOITING UNCERTAINTY—INVESTMENT OPPORTUNITIES AS REAL OPTIONS: A NEW WAY OF THINKING IN ENGINEERING ECONOMICS

A new trend in corporate planning is to exploit uncertainty by taking investment opportunities as real options. This options approach is to complement the conventional net present value (NPV) criterion in evaluating risky investments. In this paper, we take a broad look at the real options approach to various engineering economic decision problems, laying out how it provides an immediate and important perspective on value creation in an uncertain world. Unlike financial options, real options analysisdeals with investments in real assets, which is one of the primary interest areas in engineering economics. For that reason, we believe that any advancement in the real options decision framework will benefit the field of engineering economics.     

A REAL OPTIONS DESIGN FOR PRODUCT OUTSOURCING

Product outsourcing is recognized as a way to gain flexibility for competitive advantage. We formulate the outsourcing problem using real options. We develop a financial model to assess the option value of product outsourcing. Specifically, we consider a three state-variable problem and use Monte Carlo simulation to estimate the value of the option. This valuation gives decision makers a way to choose the appropriate outsourcing strategy based on an integrated view of the market dynamics. A case example from the apparel manufacturing industry is used to demonstrate the application of real options to value outsourcing flexibility. We show that the inability of classical net present value methods to address dynamics in the market condition leads to an undervaluing of the outsourcing strategy. Numerical results and sensitivity analysis show how the real options approach can be used to give a better view of the long-term value of outsourcing.     

Real options valuation: the new frontier in R&D project evaluation?

The real options approach has recently received growing attention in R&D and Technology Management research. Recent empirical findings by Ellis (1997) and Busby and Pitts (1997) also report growing attention and use in practical investment decisions. However, there is a certain concern about the applicability to a wide range of R&D related problems. The theoretical base behind options valuation is derived from the capital markets and thus assumes market conditions that are closer to the theoretical construct of 'perfect competition' than most other settings. Even under these conditions, several assumptions made and difficulties left are subject to controversial discussions. Of course these problems even gain importance when the R&D environment with its discontinuities and lack of regulation or institutionalized trade is assumed. This paper describes some basic properties of the real options approach and sheds light on existing problems for the application in R&D project evaluation. On the other hand, roads to application of the method are shown using the Geske model of option evaluation. One main goal of the paper is to broaden and deepen the discussion on real option models in R&D and Technology Management, which has in some cases been limited to stressing the advantages of the method rather than reflecting on applicability and concrete way of application of the method.     

Equilibrium Real Options Exercise Strategies with Multiple Players: The Case of Real Estate Markets

This article derives a closed-form solution for an equilibrium real options exercise model with stochastic revenues and costs for monopoly, duopoly, oligopoly and competitive markets. Our model also allows one option holder to have a greater production capacity than others. Under a monopolistic environment we find that the optimal option exercise strategy in real estate markets is dramatically opposite to that in a financial (warrant) market, indicating the importance of paying attention to the institutional details of the underlying market when analyzing option exercise strategies. Our model can be generalized to the pricing of convertible securities and capital investment decisions involving both stochastic revenues and costs under different types of market structures.     

Real Options—An Introduction and an Application to R&D Valuation

In this short paper, we summarize the real options approach and show how it can be used to introduce flexibility into the capital budgeting process. We then go on to show an application of real option evaluation to research and development valuation in the pharmaceutical industry. Our calculations and illustrations are in Excel and can be easily replicated.     

Switch,Switch, Switch! A Regime-Switching Option-Based Model for Valuing a Tolling Agreement

This article proposes a real options valuation of a tolling contract using a combined switching option and volatility regime switching model. In a tolling-based transaction, the toller becomes the energy manager (but not the owner) of the power plant, having the option to switch it on or off to benefit from (mitigate) the upside (downside) potential related to frequent, jumpy fluctuations of power (and gas) prices. Value creation from such flexibility in managing the spark spread risk may be better captured by expanding the static NPV of the plant via exercise of a switching (compound) option having the plant itself as an underlying two-market-based asset portfolio (electricity and gas). Results from adoption of a pentanomial lattice pricing approach show that the set of tolling fees the toller would prefer to pay to the tollee “in equilibrium” is a decreasing function in the portfolio volatility because of the higher risk being borne by the former. Though the toller is willing to fairly pay equal or less than the value created from active management of the power plant, obtaining a positive net profit, the tollee may rely on a constant flow of bullet bond-like installments, securing remuneration of equity capital invested and arrangement of a project financing for plant construction.     

A Range-Based Finite Difference Approach to Valuing Options in Markov Switching Regimes*

Recognizing the inflexibility inherent in standard capital budgeting analysis, recent research has provided new insights using a real options framework. This paper uses the explicit finite difference approach to value real options. However, instead of assuming a constant return and volatility term, we assume that these variables are sensitive to changes in the economic environment. Accordingly, we adapt our approach to incorporate a Markov switching feature. Further, we recognize that some of the modeling assumptions can be violated in a practical application. Therefore, we recommend using range based estimates of the real option value, as opposed to a point estimate.     

生物制药项目价值评估方法研究

本文研究通过比较传统的净现值法、风险调整的净现值法以及实物期权法,研究在生物制药业项目开发阶段的价值评估的方法,说明风险调整的净现值法以及实物期权法是较好的研究生物制药项目价值评估的方法。     

Real options and real value: the role of employee incentives to make specific knowledge investments

Real options reasoning emphasizes the strategic value of making flexible investments in a turbulent environment. Employees' investments in specific human capital are often critical to the success of a real option project, but the very flexibility that allows a firm to change course in response to new information also affects employees' incentives to make such specific human capital investments. We develop a model of real option investment that explicitly incorporates the role of employee incentives. The model suggests that the effect of investing in a real option project on employee incentives may be positive, further increasing the value of the project, or negative, sometimes more than offsetting the benefit of flexibility and resulting in reduced project value. Therefore, firms and managers should take into consideration the role of employee incentives when applying real options logic to investment decision making. Copyright © 2008 John Wiley & Sons, Ltd.     

Paying attention to real options

The strategy literature is increasingly focused on the need to create dynamic capabilities to respond with innovative product offerings in 'hypercompetitive' environments. The real options approach offers hope for managers facing such threatening environments by highlighting methods to hold options on a variety of possible future states, thereby reducing risk without bearing all the costs. However, extant real options literature, stemming from rational-based financial assumptions, does not consider attention as a limited resource. Real options are valued on the assumption that management can exploit the flexibility inherent in projects, and so require management attention to obtain their full theoretical value. This paper brings attentional constraints to bear on the real options framework and describes a conceptual framework that illustrates the real option value realization process.     

MAKING USE OF REAL OPTIONS SIMPLE: AN OVERVIEW AND APPLICATIONS IN FLEXIBLE/MODULAR DECISION MAKING

This article focuses on how the use of real options can be made simple, providing an overview of the power of flexible and modular decision making and its use in various applications across industries. After common real options are discussed through a comprehensive example, the article reviews the key lessons and implications of real options thinking for flexible decision making. It then proceeds to propose a modular problem structuring approach that allows simplifying of complex real option problems by decomposing them into a few basic building-block option types (reviewed) connected by some basic decision operators. The resulting problem-structuring option map is depicted in a range of illustrative applications in various industries. Past areas of application of real options as well as research challenges ahead are also discussed.     

Integrating Real Options with Managerial Cash Flow Estimates

This article presents a real options model that fits managerial cash flow estimates (optimistic, likely, and pessimistic projections) to a continuous geometric Brownian motion (GBM) cash flow process with changing growth and volatility parameters. The cash flows and the value of a project are correlated to a traded asset, so the real option is priced under the risk-neutral measure with a closed-form solution. The analysis is extended to a sequential compound call option for investments over multiple periods. If the project is correlated to the market, then some of the risk may be mitigated by a delta-hedging strategy. A numerical example shows that the effect of the correlated asset on the real option value is significant, and the relationship between the volatility of the project and the real option value is not analogous to the typical relationship found in financial option pricing. Integrating the expertise and industry knowledge of management, this approach makes possible a more rigorous estimation of model inputs for real option pricing.     

THE TIMING OF REAL OPTION EXERCISE: SOME RECENT DEVELOPMENTS

This paper briefly reviews one recent development in real options modeling. This development aims to extend traditional real options models. We show that previous models are incomplete in that only the optimal action threshold is derived. The new literature aims to provide, further information on optimal option exercise. By introducing the first passage time approach, empirically testable propositions on the probability of option exercise and the expected waiting time before an option is exercised are provided.     

Toward a behavioral theory of real options: Noisy signals,bias, and learning

Research Summary: We develop a behavioral theory of real options that relaxes the informational and behavioral assumptions underlying applications of financial options theory to real assets. To do so, we augment real option theory's focus on uncertain future asset values (prospective uncertainty) with feedback learning theory that considers uncertain current asset values (contemporaneous uncertainty). This enables us to incorporate behavioral bias in the feedback learning process underlying the option execution/termination decision. The resulting computational model suggests that firms that inappropriately account for contemporaneous uncertainty and are subject to learning biases may experience substantial downside risk in undertaking real options. Moreover, contrary to the standard option result, greater uncertainty may decrease option value, making commitment to an investment path more effective than remaining flexible. Managerial Summary: Executives recognize the need to make uncertain investments to grow their business while mitigating downside risk. The analogy between financial options and real corporate investments provides an appealing method to consider the practical challenge of such investment decisions. Unfortunately, the “real options” analogy seems to break down in practice. We identify how a second form of uncertainty confounds real options intuition, leading managers to overestimate the value of uncertain investments. We present a behavioral real options model that accounts for both forms of uncertainty and suggest how uncertainty interacts with behavioral bias in the option execution/termination decision. Our model facilitates assessment of the conditions under which investments in uncertain opportunities are usefully considered as real options, and provides a means to evaluate their attractiveness.     

Evaluating Product Plans Using Real Options

Product planning helps a company to strategically plan its current and future product platforms and offer product variants in the marketplace. Product platforming is widely touted as a successful strategy for mass customization. However, due diligence should be exercised before implementing any product platform strategy. The product planning exercise should account for future uncertainties. Traditional financial tools such as the net present value (NPV) are static since they do not compensate for any exogenous and endogenous uncertainties during the course of the project. The crux of the problem lies in the evaluation model that is used for evaluating the product planning projects. While many view uncertainties in a product planning project as problematic, it can also be viewed as a source of new opportunities. We argue that uncertainties should be an integral part of the evaluation model. If the future possibilities (or strategic options) are not considered in the evaluation model, a corporation may face a “myopic syndrome”.

In this article, we consider two important product planning decisions—platform decisions and product variant decisions. The platform decision involves strategic selection of a concept product platform from various possible alternative concept product platforms. The product variant decision involves deciding how long a company should continue to offer its current product variant in the marketplace and whether the existing product variant should be discontinued, scaled down, or scaled up with additional product features. To address the two aforementioned decisions, we developed a real options–based methodology that considers technical, project implementation, and market-related uncertainties. The proposed methodology uses a binomial and quadranomial lattice approach to build a decision tree. Product planning decisions at various decision tree nodes are evaluated using a risk-neutral option valuation methodology. We demonstrate the working of the proposed methodology using an illustrative example.     

Cancellation Strategies in Commercial Real Estate Leasing

In a contractionary corporate environment, lease cancellation strategy becomes an important component of corporate real estate leasing decisions. This paper presents a leasing model in which less well-informed lessors offer leases with alternative lease cancellation options. The model demonstrates that a tenant's choice of cancellation option reveals his private information with respect to the likelihood of option exercise. Tenants who select a lease with a downsizing option are more likely to exercise the option. Given the higher likelihood of option exercise, the model suggests that the downsizing option will be priced higher. We examine a sample of 311 leases, and consistent with the model's prediction, we find that on average leases with a downsizing option have significantly higher contract rent. However, termination and sublet options are not associated with higher rent. The evidence suggests that market uncertainty, private information and adverse selection affect the pricing of alternative cancellation options and the choice of cancellation option.