Valuing Flexibility as a Complex Option

This paper develops an approach for valuing flexible production systems using contingent claims pricing. Demand curves for our model's underlying assets (output products) may be downward sloping, in contrast with the standard option pricing assumption. Also, our marginal production(exercise) costs may be increasing. In addition, we allow for multiple products and a production capacity constraint. These elements of the model result in complex exercise decisions for the contingent claims which comprise the production system's value. We illustrate our approach by valuing a flexible system that produces two products which have profit margin functions with stochastic parameters.     

Valuation of a Developmental Drug as a Real Option

Valuing a capital investment as a real option (or series of options) has advantages over standard DCF valuation when the investment creates the future flexibility to delay, abandon, or expand an element of the project based on the resolution of a major source of uncertainty. The uncertainty is generally dealt with using a “volatility” term that aims to reflect the variability in the future value of the underlying asset. But there are certain situations in which the uncertainty has a second dimension. For example, drugs in development can be abandoned either because of bad technical outcomes (the drug doesn't work) or unfavorable resolutions of market risk (though the drug works, its market potential turns out to be too limited). In an article published earlier in this journal, the authors illustrated the valuation of an early‐stage pharma R&D investment using a real options approach in which the market and technical risks were folded together into the volatility parameter. In this article, the authors explain why they have concluded that this is an incorrect approach and then show how to handle market and technical risk as two separate dimensions of risk in valuing an R&D program. The potential use of this technique extends beyond pharma and biotech R&D to any situation in which the outcome of an important uncertainty is independent of the resolution of market risk associated with the underlying asset.     

Valuing an Early‐Stage Biotechnology Investment as a Rainbow Option

In an article published in this journal in 2003, Richard Shockley and three of his students presented a detailed valuation of an early‐stage biotechnology investment using a binomial lattice option pricing model. The article demonstrates how investments with multiple stages can be treated as “compound sequential options”—that is, as series of options in which investments in one option provide the opportunity to invest in the next in the series. In this article, the author uses the same business case analyzed by Shockley et al. to demonstrate how to value this early‐stage biotechnology investment by separately modeling the two types of risks: technology and product market. An option that has two distinct kinds of risk that develop differently over time is known as a “rainbow option.” The key adjustment to the option pricing model required to value such an option is that, instead of the standard binomial option pricing model with two outcomes at each point in time, the author uses a “quadranomial” option pricing model with four outcomes at each point in time. By distinguishing technology risks from product market risks and allowing them to develop differently over time, the author's analysis leads to a very different valuation and, indeed, a different decision about the initial investment than the one produced by Shockley's model.     

Valuing the Option to Purchase an Asset at a Proportional Discount

I analyze the value of a nonstandard call option that allows the holder to purchase an underlying asset at a discount proportional to the asset's market price. Several applications for this type of option exist, including its use in employee compensation contracts. I derive the value of this option for a dividend-paying asset and for an option whose exercise price reflects a time-varying discount factor. The derived value incorporates the optimal time at which the option should be exercised. One application of this option relates to a residential real estate program in China.     

Euro Membership as a Real Option Trigger: An Empirical Study of EU15 Manufacturing Firms

This article summarizes the authors' study of manufacturing firms in the 15 countries that made up the EU prior to its 2004 expansion. The study's main finding is that the introduction of the Euro has made companies based in one of the 12 countries that opted to adopt the Euro more inclined than firms based in one of the three non‐adopters (the U.K., Sweden, and Denmark) to exercise various forms of real options such as establishing alliances or partnerships, entering new markets, switching suppliers, or otherwise expanding within the Euro‐area. The study also shows that smaller, more profitable but financially constrained companies are particularly likely to exercise such real options triggered by the introduction of the Euro.     

Pursuing Value Through Liquidity in IPOs: Underpricing,Share Retention,Lockup, and Trading Volume Relationships

We argue that in an initial public offering (IPO), pre-IPO owners make decisions regarding underpricing, share retention, and share lockup simultaneously and optimally to maximize aftermarket liquidity. We predict that underpricing fosters higher trading volume in both the short run and the long run. Also, liquidity is negatively related to the proportion of shares retained by pre-IPO owners, ceteris paribus, so IPO underpricing should be positively related to the proportion of shares retained, as an offset. We document evidence consistent with these predictions. In addition, we find that, for IPOs with a lockup restriction, underpricing is more substantial and the positive relation between share retention and underpricing is much stronger. We also find that the relationship between underpricing and trading volume is stronger for IPOs with lockup. IPOs with lockup have higher trading volume, and a significant portion of this difference is associated with the effect of underpricing.JEL Classification: G10, G14, G24     

Computing a Multivariate Normal Integral for Valuing Compound Real Options

We extend the Geske (1979) model to a multivariate normal integral for the valuation of a compound real option. We compared the computing speeds and errors of three numerical integration methods, namely, Drezner's improved Gauss quadrature method, Monte Carlo method and Lattice method, together with appropriate critical value finding methods. It is found that secant method for finding critical values combined with Lattice method and run by Fortran took merely one second, Monte Carlo method 120 seconds. It is also found that the real option decreases with interest rate, not necessarily positively correlated with volatility , a result different from that anticipated under financial option theory. This is mainly because the underlying of real option is a non-traded asset, which brings dividend-like yield into the formula of compound real options. Dividend-like yield rises with the multiplication of correlation coefficient and . High indicates the poor diversification advantage of the new investment project in relation to the existing market portfolio, and the value of real call option decreases with . Conversely, when is low, the proposed project provides better diversification advantage and the real call option rises with . Irrespective of the value of , when interest rate increases, the value of real call option drops, especially when is high, the value of the project is dominated by interest rate.     

Liquidity and Liquidation: Evidence from Real Estate Investment Trusts

This study provides evidence that highly leveraged owner-managed properties liquidated assets during the commercial real estate decline of the late 1980s, and that this provided buying opportunities for better capitalized buyers. The analysis documents significant financial distress costs for highly leveraged firms during an industry-wide downturn and shows that these costs are particularly large for owner-managed firms.     

Externalities of Urban Renewal: A Real Option Perspective

If carefully planned, urban renewal may play an important role in regenerating a decaying neighborhood and mitigating the negative externality generated by dilapidated buildings in densely populated areas. Despite its potential benefits, in urban areas dominated by high-rise developments, urban renewal has an unintended negative impact on nearby properties since it reduces their redevelopment option values. In this study, we develop a number of hypotheses on how an urban renewal project, once made known to the public, affects neighborhood housing prices and test them with data in Hong Kong. Our empirical findings suggest that the degree of positive externalities brought by urban renewal depends on the scale of an urban renewal project, as well as the amount of commercial areas included in the project. Most importantly, through examining changes in the age coefficient, we found that an urban renewal project reduces the value of nearby buildings beyond the boundaries of the project. The negative effect was stronger for older buildings and for those buildings located closer to the project’s boundaries. These unintended consequences of urban renewal have not been analyzed or tested in previous studies.     

上市房企流动性风险显著增加-2014年上市房企中报分析

上市房企资产负债率创历史新高,非龙头企业债务负担形势严峻
　　名义资产负债率远超警戒线。2014年二季度末,开发类房企整体资产负债率达到76.4%,创历史新高,并远超70%的警戒线。其中,招保万金（招商地产、保利地产、万科A、金地集团）4家龙头房企的资产负债率远高于整体水平,达到77.4%,较2013年自身的平均水平有所降低;其他房企的资产负债率为75.6%,再创历史新高（见图1）。     

Liquidity Risk of Private Assets: Evidence from Real Estate Markets

Investment in thinly traded private assets involves liquidity risk. Existing literature provides limited guidance as it mainly focuses on publicly traded security assets such as stocks and bonds. This paper develops an analytical tool for quantifying liquidity risk of private assets. Using commercial real estate as a model asset and under reasonable assumptions, we find that the magnitude of liquidity risk is too large to be ignored, especially in down markets when liquidity risk is a great concern.     

Valuing Assets Using Real Options: An Application to Deregulated Electricity Markets

This paper provides a detailed case of the application of real options valuation techniques to value a contract for the use of a power generation facility. The authors' aim is not primarily to offer a valuation "recipe" for a specific type of asset, but to show how the real options framework can be actually made to work in a variety of situations.
The case illustrates how minor adaptations that take into account the ways in which actual settings differ from the assumptions of standard formulas like Black-Scholes can be used to increase the precision and realism of results. By introducing relatively simple changes to a standard options valuation model, the authors obtain results that are reasonably close to those reported for actual transactions involving similar types of assets. Despite the industry-specific context of the analysis, the applicability of the techniques discussed in the paper should extend beyond the energy industry to other contexts characterized by similar types of uncertainty and production process, particularly those associated with minerals and other commodities.     

Valuing American options by simulation: a simple least-squares approach

This article presents a simple yet powerful new approach forapproximating the value of American options by simulation. Thekey to this approach is the use of least squares to estimatethe conditional expected payoff to the optionholder from continuation.This makes this approach readily applicable in path-dependentand multifactor situations where traditional finite differencetechniques cannot be used. We illustrate this technique withseveral realistic examples including valuing an option whenthe underlying asset follows a jump-diffusion process and valuingan American swaption in a 20-factor string model of the termstructure.     

Limit Order Book as a Market for Liquidity

We develop a dynamic model of a limit order market populatedby strategic liquidity traders of varying impatience. In equilibrium,patient traders tend to submit limit orders, whereas impatienttraders submit market orders. Two variables are the key determinantsof the limit order book dynamics in equilibrium: the proportionof patient traders and the order arrival rate. We offer severaltestable implications for various market quality measures suchas spread, trading frequency, market resiliency, and time toexecution for limit orders. Finally, we show the effect of imposinga minimal price variation on these measures.     

Foreign Institutional Investment,Ownership, and Liquidity: Real and Informational Frictions

The literature widely documents the negative liquidity impact of foreign participation in firms that permit high foreign institutional ownership. This paper employs a unique setting for the limited participation of qualified foreign institutional investors (QFIIs) in China's A-share market and examines how this impacts on stock liquidity in emerging markets. Contrary to the findings in the literature, foreign investor participation helps enhance the liquidity of affected stocks by promoting trade activities and price discovery. The improvement in liquidity does not occur through the information friction channel, but rather the real friction channel. Our results are robust to endogeneity issue and the possible influence of the global financial crisis, industry effects and the stock exchange. Further, the liquidity improving effects of QFII are even stronger when the analysis is performed on a subsample of QFII firms.     

Information Asymmetry and Corporate Liquidity Management: Evidence from Real Estate Investment Trusts

We examine the impact of information asymmetry on a firm??s choice between cash and credit lines for corporate liquidity management using a panel data set from real estate investment trusts (REITs). Information asymmetry, as measured by analyst forecast error and dispersion, is negatively related to the use of lines of credit. Specifically, firms with more severe information asymmetry are less likely to have access to bank credit lines. Concurrently, more transparent firms are more likely to utilize bank credit lines as opposed to cash for liquidity management. The results are robust to alternative information asymmetry proxies and specifications. These findings suggest that information asymmetry plays an important role in corporate liquidity management.     

Regulatory Uncertainty and Market Liquidity: The 2008 Short Sale Ban's Impact on Equity Option Markets

We examine how the September 2008 short sale restrictions and the accompanying confusion and regulatory uncertainty impacted equity option markets. We find that the short sale ban is associated with dramatically increased bid‐ask spreads for options on banned stocks. In addition, synthetic share prices for banned stocks become significantly lower than actual share prices during the ban. We find similar results for synthetic share prices of hard‐to‐borrow stocks, suggesting that the dislocation in actual and synthetic share prices is attributable to the increased hedging costs for options on banned stocks during the short sale ban.     

Office Construction in Singapore and Hong Kong: Testing Real Option Implications

We advance the real-option-based empirical analysis of commercial real estate investment in three respects. First, we test several real option implications for real estate construction that have not been examined in the commercial real estate investment literature. In particular and in line with the predictions of real option models, we show that the effects of real interest rate and the expected demand growth on hurdle rent become more negative when the market volatility is greater. Second, we use a cointegrating vector of office employment and office stock to provide a better control of the demand for new construction than traditional indicators based on real estate prices and vacancy rates. Third, whereas the existing studies focus on the U.S. commercial real estate markets, we study two major office markets in Asia, namely Singapore and Hong Kong. We rely on the local stock market in the two city states to derive forward-looking measures of office demand growth expectations.