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The concepts of real options analysis, which transfer options analysis for financial investments to those involving real properties, such as land and plant facilities, have already existed for 30 years. However, the actual application of real options analysis to technology portfolio planning has not been as widespread as expected. Among others, a major barrier to such applications appears to be a lack of appreciation and acceptance of real options by technology executives. This case study aims to present a successful application experience of real options analysis to technology portfolio planning and highlights the lessons learned in overcoming such lack of acceptance and other barriers.

The paper uses a case study approach. The methodology focuses on describing the key issues and solutions for applying real options analysis in the technology portfolio‐planning process of a company.

The findings in this paper showed that considerable barriers exist in the acceptance of real options analysis for technology portfolio planning. However, the experience in the case study provides successful approaches for overcoming these barriers.

The paper shows that few studies are available on the difficulties of introducing real options analysis in practical applications. This paper provides a valuable case study for such applications.

This paper aims to demonstrate the practical application of real options analysis to the evaluation of multistage projects, using an example involving a commercial real estate development.

The approach demonstrated builds on static discounted cash flow (DCF) analysis and requires knowledge of only the binomial option pricing model.

Real options analysis can be implemented in a spreadsheet and only one parameter – the volatility of the price of the completed project – needs to be estimated in addition to those required for static DCF analysis. The approach described can be used to evaluate a project at any stage of development, which is especially useful when the suspension of partly completed projects is under consideration.

The paper shows how to carry out real options analysis of complex multistage development projects using straightforward valuation tools, making an important project evaluation technique more readily available to practitioners.

Option pricing theory enables computation of the price of an option using different variables associated with the underlying security and options contract. The purpose of this study is to assess research trends that emerged in the field of option pricing. This study reviews existing literature of the option pricing domain, both qualitatively and quantitatively, and identifies potential themes for future research.

This study adopts bibliometric analysis method to explore literature published in the option pricing domain. As part of bibliometric analysis, this study considers both descriptive and network analysis to assess publication trends. For descriptive analysis, the “bibliometrix” package proposed by Aria and Cuccurullo (2017) is used and for network analysis, VOS viewer (Van Eck and Waltman, 2017) and Gephi (Bastian et al., 2009) are used.

This study identifies research trends, top researchers, articles, journals and contributions from institutions and countries in the option pricing domain. It identifies four clusters that show different directions and also focuses on past studies on the same subject. It explores research gaps by performing an in-depth analysis of existing literature on option pricing and suggests the way forward for research in this area.

To the best of the authors’ knowledge, no previous studies have attempted to analyze the literature published in the option pricing domain. This study fulfils this research gap by conducting a comprehensive analysis of studies in the option pricing area. This study identifies quality research work published in the domain, research trends, contribution by most relevant researchers, contributions across geographies and institutions and the connections among these aspects. This study also identifies important themes and provides directions for future research.

The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing literature review and builds recommendations for potential scholars interested in the subject area.

In this study, the researchers used a systematic literature review procedure to collect data from Scopus. Bibliometric and structured network analyses were used to examine the bibliometric properties of 864 research documents.

As per the findings of the study, publication in the field has been increasing at a rate of 6% on average. This study also includes a list of the most influential and productive researchers, frequently used keywords and primary publications in this subject area. In particular, Thematic map and Sankey’s diagram for conceptual structure and for intellectual structure co-citation analysis and bibliographic coupling were used.

Based on the conclusion presented in this paper, there are several potential implications for research, practice and society.

This study provides useful insights for future research in the area of OPM in financial derivatives. Researchers can focus on impactful authors, significant work and productive countries and identify potential collaborators. The study also highlights the commonly used OPMs and emerging themes like machine learning and deep neural network models, which can inform practitioners about new developments in the field and guide the development of new models to address existing limitations.

The accurate pricing of financial derivatives has significant implications for society, as it can impact the stability of financial markets and the wider economy. The findings of this study, which identify the most commonly used OPMs and emerging themes, can help improve the accuracy of pricing and risk management in the financial derivatives sector, which can ultimately benefit society as a whole.

It is possibly the initial effort to consolidate the literature on calibration on option price by evaluating and analysing alternative OPM applied by researchers to guide future research in the right direction.

In this study, the author aims to examine the behavior of QQQ options at the time of the QQQ move from AMEX to NASDAQ on December 1, 2004. The author addresses the questions: is there a relation between hedging and speculation, if such a relation exists considering the improvement in market trading efficiency after the QQQ move did the relation between speculative demand for options and hedging demand for options strengthen at the time of the QQQ move, if such a relation exists does hedging activity follow speculative activity.

The author uses the fact that deep-out-of-the-money puts are used for hedging, whereas deep-out-of-the-money calls are used for speculation. The author uses spectral analysis on QQQ options in the attempt to answer the research question. The author uses spectral analysis because the data in the study are non-normally distributed which would make parametric testing meaningless.

The author finds that indeed the relation between speculative demand and hedging demand for options exists and strengthens after the consolidation of trading on NASDAQ and that hedging follows speculation. The fact that this relation exists is economically meaningful in that this is established for the first time empirically in support of the theoretical models predicting this relation's existence.

Market participants on both the speculation side of the investment spectrum, such as hedge funds, and hedging side of the investment spectrum, such as mutual funds and money managers, would be interested in this topic and the findings of this paper. The main contribution of this study is in examining the relation between differential demand for options by using the non-parametric tools of spectral analysis. This helps extend the understanding of exchange traded funds' (ETF') option behavior and contributes to this strand of the ETF literature.

The purpose of this paper is to address three main problems resulting from uncertainty in information security management: dynamically changing security requirements of an organization; externalities caused by a security system; and obsolete evaluation of security concerns.

In order to address these critical concerns, a framework based on options reasoning borrowed from corporate finance is proposed and adapted to evaluation of security architecture and decision making for handling these issues at organizational level. The adaptation as a methodology is demonstrated by a large case study validating its efficacy.

The paper shows through three examples that it is possible to have a coherent methodology, building on options theory to deal with uncertainty issues in information security at an organizational level.

To validate the efficacy of the methodology proposed in this paper, it was applied to the Spridnings‐och Hämtningssystem (SHS: dissemination and retrieval system) system. The paper introduces the methodology, presents its application to the SHS system in detail and compares it to the current practice.

This research is relevant to information security management in organizations, particularly issues on changing requirements and evaluation in uncertain circumstances created by progress in technology.

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.

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.

This paper aims to provide upper‐level accounting and/or finance students with a review of the intricacies of option pricing, discounted cash flow (DCF) capital budgeting decision models, various types of real options, how risk analysis of long‐term capital investments can be facilitated by explicit consideration of real options, and the role of sensitivity analysis in the analysis of capital investment projects with real options.

The paper describes a fictional company facing a risky capital investment proposal. Students evaluate the investment proposal using traditional DCF analysis (i.e. the net present value method), and then re‐run the analysis by incorporating the existence of real options into the analysis of the proposed investment. Finally, students see the value of using Crystal Ball software for conducting sensitivity analysis as part of the decision‐making process.

There are two primary conceptual lessons that students realize by completing this educational case: real‐options analysis is a conceptually correct and robust way to explicitly deal with project uncertainty, and failure to explicitly consider real options in the analysis of capital investment projects may result in suboptimal decision making.

This case covers all major real‐option topics required for the certified management accountant exam. Further, the case fills a void in the literature of accounting education as this literature pertains to the availability of case material regarding the use of real options as an extension to conventional capital budgeting techniques.

Reports a new method for preparing a product structure analysis to improve the effectiveness of the master scheduling function for products that are manufactured on an assemble‐to‐order basis. This methodology for conducting product structure analysis uses relational database management software to identify common and unique material in a product structure. Highlights example results of the application of methodology.