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Agricultural markets for commodities have tended to be unstable with high variability in prices received by producers from year‐to‐year. These conditions have always made production planning very risky over time. For this reason and others, since 1933, the federal government has supported commodity prices in one fashion or another at or near break even. Support programs have put pressure on the annual federal deficits and subsequently have added to the national debt. This paper investigates the use of private agricultural options contracts as a price risk management tool. Use of put options was compared for four commodities to the use of forward pricing, the use of cash prices at harvest and the use of futures as commodity pricing strategies. Private put options were found to be a useful alternative to the use of government prices upports in some commodity situations. The paper suggests that the use of option contracts provides additional flexibility in price risk management and in dealing with uncertainty. This knowledge was found to be especially useful in light of current cuts in federal price supports in current federal budgeting activity.

The purpose of this study is first to evaluate whether real options analysis (ROA) is suitable for valuing green building certificates, and second to calculate the real option value of a green certificate in a typical office building setting. Green buildings are demonstrated as one of the most profitable climate mitigation actions. However, no consensus exists among industry professionals about how green buildings and specifically green building certificates should be valued.

The research design of the study involves a theoretical part and an empirical part. In the theoretical part, option characteristics of green building certificates are identified and a contemporary real option valuation method is proposed for application. In the empirical part, the application is demonstrated in an embedded multiple case study design. Two different building cases (with and without green certificate) with eight independent cash flow valuations by eight industry professionals are used as data set for eight valuation case studies and analyses. Additionally, cross-case analysis is executed for strengthening the analysis.

The paper finds that green certificates have several characteristics similar to real options and supports the idea of using ROA in valuing a green certificate. The paper also explains how option pricing theory and discounted cash flow (DCF) method deal with uncertainty and what shortcomings of DCF could be overcome by ROA. The results show that a mean real option value of 985,000 (or 8.8 per cent premium to the mean property value) was found for a Leadership in Energy and Environmental Design Platinum certificate in the Finnish property market. The main finding of the paper suggests that the contemporary real option valuation methods are appropriate to assess the monetary value and the uncertainty of a green building certificate.

This is the first study to argue that option-pricing theory can be used for valuing green building certificates. The identification of the option characteristics of green building certificates and demonstration of the ROA in an empirical case makes questions whether the current mainstream investment analysis approaches are the most suitable methods for valuing green building certificates.

The purpose of this paper is to develop an option pricing model applicable to US options. The lognormality assumption that has typically been imposed with past binomial and trinomial option pricing models is relaxed. The relaxed lattice model is then used to determine skewness and kurtosis of distributions of futures prices implied from option prices.

The relaxed lattice is based on Gaussian quadrature. The markets studied include corn, soybeans, and wheat. Skewness and kurtosis are implied by minimizing the squared deviations of actual option premia from predicted premia.

Positive skewness is the major source of nonnormality, but both skewness and kurtosis are important as the trinomial model that considers kurtosis has greater accuracy than the binomial model. The out‐of‐sample forecasting accuracy of the relaxed lattice models is better than the Black‐Scholes model in most, but not all cases.

The model might benefit from using option prices from more than one day. The implied skewness and kurtosis were quite variable and using more data might reduce this variability.

Empirical results mostly show positive implied skewness, which suggests extreme price rises were more likely than extreme price decreases.

The relaxed lattice is a new model and the results about implied higher moments are new for these commodities. There are competing models available that should be able to get similar accuracy, so one key advantage of the new approach is its simplicity and ease of use.

To evaluate various hedge programs designed to minimize the risk of an extreme monthly gas bill subject to a pre‐determined hedge program budget.Design/methodology/approach – Historical data were collected on natural gas spot and futures prices. Also, theoretical options prices were calculated. These data were then applied to derive the risk associated with extreme bills under different hedge strategies.Findings – In every instance, having a price cap hedge program is better for core customers of a utility company than not having a hedge program.Research limitations/implications – The better hedge performance is based on historical data. It may not apply to future scenarios. Also, the theoretical options prices may need refinements.Practical implications – Any utility company should seriously consider a price cap hedge program to protect its core customers. The exact program design will likely change but the basic principles and methods described in this paper are directly applicable.Originality/value – This paper provide/guidelines for a utility company to design its hedge programs for the benefits of core customers. Currently, there is no such guideline available and there is no study evaluating these hedge programs. This paper provides a first attempt.

Real options available to developers and leading to an active and dynamic development of real estate assets are numerous. The purpose of the article is twofold. First, a conceptual framework is proposed as a practical aid for recognizing and understanding some frequently recurring combinations of options (such as deferral and expansion options). Based on the definition and classification of real options available in real estate markets, a comprehensive valuation tool for quantifying the value of those options embedded in a real estate development project is thus developed using a portfolio view.

Based on standard option pricing techniques, the proposed conceptual methodology is validated by applying it to an actual case of an investment for the construction of a new, multi‐purpose building in the semi‐central zone of the urban area of Rome (Italy).

Based on a static land value of €34.7 million, a waiting mode (deferral option) at an early stage of developing a property accounts for 16 percent of the expanded land value of the project, with 8 percent of such value being contributed by the expansion option. A real options valuation of the options portfolio available to a real estate developer enables increasing the project value by 31.1 percent as opposed to a traditional DCF analysis. In line with financial options theory, values of real options increase as volatility rises.

The case‐based analysis highlights that: flexibility in real estate development may create additional value enabling real estate developers or funds to react to market trends as new information arrives and uncertainty on fundamental factors (e.g. property prices) unfolds; the extra value added by managerial flexibility is neglected by DCF/NPV techniques; contrary to the common criticism on its lack of rigor, option valuation theory is suitable for appraising real estate assets; a portfolio approach is crucial when multiple real options exist.

Active management of real estate investments in response to changing property market and technology conditions confers operating flexibility and strategic value to appraisal of development projects beyond what is traditionally captured by a DCF model. An options approach to valuing and managing real estate development may change the developer's perspective altogether. Based on the combination of an original classification and a portfolio view of options existing in real estate markets, a real options framework for assessing the value of strategic flexibility incorporated in a greenfield development project (also accounting for potential option interactions) is designed.

Strategic Management and Marketing.

Management students (MBA).

In the present times of global competition and busy schedules of individuals, it is expected that companies provide service with security, sincerity and flexibility keeping pace with changing global scenario of marketing. Service receiver expects competitive and optimum facilities with ease while sitting in any corner of the world at any time of the day. It implies that the service provider should be available at all times/all places for satisfying the needs of the customers. A daunting task ahead of Life Insurance Corporation of India (LIC) was to change its conventional approach and work toward a newer, user-friendly one. The top management, i.e. the Board of Directors, took up the task of identifying a quicker but securer approach to provide optimum facilities to the policyholders.

Achieving customer satisfaction through alternate collection channels and retaining market share, role of customer servicing in creating competitive advantage, challenges for a large public sector enterprise – traditional approach or modern approach, role of private companies in development of insurance industry, creating awareness about the product/service through different distribution channels and use of information and telecommunication technologies to reach remote places, are the expected learning outcomes.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 8: Marketing

This research applies a static hedging portfolio method derived from Derman, Ergener, and Kani (1995) (henceforth Derman's SHP method) and a new SHP method with European cash-or-nothing binary options developed by Chung, Shih, and Tsai (2013) to price European continuous double barrier (ECDB) options and the rebates of the ECDB options. Our numerical results indicate that the new SHP method outperforms Derman's SHP method in terms of efficiency and effectiveness under all circumstances.

This paper considers an option contract in a two-stage supplier-retailer supply chain (SC) when market demand is stochastic. The problem is a Stackelberg game with the supplier as a leader. This research assumes demand information sharing. The purpose of this study is to determine the optimal pricing strategy of the supplier along with the optimal order strategy of the retailer in three option contract cases.

The paper model the option contract pricing problem as a bilevel problem. The problem is then solved using bilevel programing methods. After computing, the generated outcomes are compared to a benchmark (wholesale price contract) to evaluate the contract.

The results reveal that only one of the contract cases can arbitrarily allocate the SC profit. In both other cases, the Stackelberg supplier manages to earn the total SC profit. Further analysis of the first contract, show that from the supplier’s perspective, the first stage forecast inaccuracy is beneficial, whereas the demand uncertainty in the second stage is detrimental. This contracting strategy guarantees both players better outcomes compared to the wholesale price contract.

To the best of the authors’ knowledge, this research is the first that links the option contract literature to the bilevel programing literature. It also the first to solve the pricing problem of the commitment option contract with demand update where the retailer exercises the option before knowing the exact demand.

This paper aims to analyze the valuation of stock options from the perspective of an employee exhibiting preferences as described by cumulative prospect theory (CPT). In addition, it elaborates on their incentives effect and some implications in terms of design aspects.

The paper draws on the CPT framework to derive a continuous time model of the stock option subjective value using the certainty equivalence principle. Numerical simulations are used in order to analyze the subjective value sensitivity with respect to preferences‐related parameters and to investigate the incentives effect.

Consistent with a growing body of empirical and experimental studies, the model predicts that the employee may overestimate the value of his options in‐excess of their risk‐neutral value. Moreover, for typical setting of preferences parameters around the experimental estimates, and assuming the company is allowed to adjust existing compensation when making new stock option grants, the model predicts that incentives are maximized for strike prices set around the stock price at inception. This finding is consistent with companies’ actual compensation practices. Finally, the model predicts that an executive who is subject to probability weighting may be more prompted than a risk‐neutral executive to act in order to increase the firm's assets volatility.

This research proposes an alternative theoretical framework for the analysis of pay‐to‐performance sensitivity of equity‐based compensation that takes into account a number of prominent patterns of employee behavior that expected utility theory cannot explain. It contributes to recent empirical and theoretical researches that have advanced CPT framework as a promising candidate for the analysis of equity‐based compensation contracts.