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The purpose of this paper is to apply a risk‐based option‐pricing framework for property developers to come up with the critical investment timings, based on their tolerance of risk.

The viability of a project is subject to the potential benefit and market conditions. Option embedded in the project is considered a perpetual call option that is an opportunity to establish a new building on a vacant land. With the aid of scenario testing, whether the immediate implementation is appropriate or not can be examined, and which key factor(s) affects the profit most can be assessed.

The results reveal that the chosen study case, Chelsea Court project, is highly favorable from a financial standpoint.

Since the Samuelson‐McKean model specializes on non‐expired options that in general fit to the evaluation of options of a land development project with no maturity, it may be limited in evaluating projects with multi‐phases and a maturity date.

This valuation framework allows flexibility to assess the plausible investment timing under various suspicious circumstances about the property market.

The valuation framework presented in this paper provides advice for prospective property developers on whether to invest now or at a later stage to yield the best return.

This paper aims to provide a new approach to evaluate intellectual property (IP) and uses a cautious view of how volatility impacts the economic value of IPs.

Real option is a useful tool for valuing investments under uncertainty and if it is applied to the valuation of IP with some modifications, it is also widely accepted. However, it is still debatable whether there is a constant rate‐of‐return. This paper incorporates a sensitivity variable to account for the volatility of the expected rate of return. Thus, rate‐of‐return can be a constant or increase with volatility.

First, it was found in the simple model that Vega may be negative when the option is deep in the money. Second, in the general model, the option can be seen as a sequence of options and under the constant rate‐of‐return shortfall setting, it resembles traditional financial options with positive Vega.

The scenario set‐up allows the authors to explain why uncertainties of future cash flows drive firms to invest now instead of later.

Prior research has demonstrated that investment management performance fees have the characteristic of a call option. It is important to examine whether these performance fees are consistent with traditional fee structures used by investment managers. It is also worth examining whether clients or managers benefit significantly more than the other party under performance fee structures. The paper aims to discuss these issues.

The authors use Black-Scholes options pricing methodology to examine three cases of performance fee structures. The Absolute Hurdle case examines the fee structure where the manager receives a portion of the return over a pre-defined absolute rate of return. The Benchmark Relative Hurdle case shows a fee structure based on performance in excess of the return of a benchmark portfolio. The Breakeven Relative Hurdle case illustrates the fee structure where there is revenue neutrality with the classic management fees when portfolio performance matches the benchmark.

The findings of this paper illustrate that a particular performance fee structure can be designed to have the same revenue as a traditional investment management fee structure. Such a structure is equally beneficial to both the investment manager and to the client and should have salutary motivational effects to improve investment results, while simultaneously rewarding the manager for value added at a fair price for both the manager and the investor.

This study is unique in that it examines three cases of performance fees and provides a comparison between performance fee structures and traditional investment management fee structures. The findings will assist investment portfolio managers in better setting management fees they charge clients. In addition, this study help with clients who feel they are being charged excessive management fees by their investment manager.

Purpose – The purpose of this paper is to estimate the cost of granting executive stocks with strike prices adjusted by the cost of capital. Design/methodology/approach – In the paper a Monte Carlo simulation approach developed in Longstaff and Schwartz is used in conjunction with the subjective valuation model developed in Ingersoll to value these executive stock options that are subject to performance hurdles. Findings – The paper finds that standard European Black‐Scholes‐Merton option values overstate the true cost to the firm of granting these executive stock options. The option values also decrease with a higher dividend yield, a higher performance hurdle, a longer vesting period, and a shorter maturity. Research limitations/implications – While the study in the paper is limited to the valuation of executive options, the methodology can be used to study incentive effects of executive stock options that have a performance hurdle. Practical implications – The approach used in this paper to estimate the cost of granting executive stock options is a clear improvement over standard European option pricing approaches that often result in biased estimates. Originality/value – This paper presents a first attempt to integrate the Ingersoll utility‐theoretic model and the Longstaff and Schwartz least squares Monte Carlo algorithm to estimate the subjective value and the objective cost of executive stock options with a performance hurdle. This valuation approach will be useful in the study of other types of executive compensation.

The purpose of this study is to analyse the current relationships between developer characteristics in terms of dominant property type (residential, commercial, retail, industrial, tourism, “other”), ownership (publicly listed, publicly unlisted, private, government), organisational structure (speculative-trader, investor developers, development managers) and size (small, medium, large) in the frequency of use and required minimum value of hurdle rate metrics.

A questionnaire survey of 225 Australian and New Zealand trader developers, development managers, investors, valuers, fund managers and government/charities/other relating to the feasibility practices of different types of Australia/New Zealand property development companies.

(1) Residential dominant developers are more likely to use margin on development cost (MDC) required to have a higher minimum internal rate of return (IRR) percentage; (2) investor developers are more likely to use the payback period as a hurdle rate, and specific hurdle rates as a part of a go/no-go decision; (3) trader developers adopt a higher percentage of IRR and deviate further from accepted financial theory in hurdle rate selection; and (4) national property development organisations in multiple geographic regions use qualitative frameworks more as a decision-making process and use MDC less as a hurdle rate.

The study is limited to a sample of property practitioners working in Australia/New Zealand at the time of data collection in 2016 and, further empirical research is needed spatially and temporally to determine the extent of the findings. Further research is also needed with small- to medium-sized development organisations' on the extent to which they should use different metrics in project selection and for an improved understanding of the technical and attitudinal difficulties facing their current adoption.

First study to examine the feasibility practices of different types of Australia/New Zealand property developers.

This study concerns an on-line path planning technique for a behaviour-based wheeled mobile robot local navigation in an unknown environment with hurdles, using the feedforward back-propagation neural network sensor-actuator control technique. The purpose of this study is to find the non-collision path for the mobile robot moving towards the goal in a cluttered environment.

Neural network architecture input layers are the different hurdle distance information, which are acquired by an array of equipped sensors, and the output layer is the turning angle (motor control). In this way, the mobile robot is effectively being trained to move autonomously in the environment.

Computer simulation and real-time experimental results show that the proposed neural network controller can improve navigation performance in cluttered and unknown environments.

The proposed neural network controller gives better results (in terms of path length) as compared to previously developed models, which verifies the effectiveness of the proposed architecture.

The purpose of this paper is to evaluate the viability of rehabilitation from a financial standpoint and examine particularly whether a rehabilitation project is worth carrying out or not. Nowadays, rehabilitation has become all the more important in society. Theoretical option models may explain how to make an optimal decision, but in reality they seem to lack empirical evidence when it comes to some situation. This paper aims to use option models to gauge the likely gain/loss from rehabilitation in face of uncertainties. It seeks to bridge the gap in the rehabilitation field between theory and application for facilities managers and property owners alike.

The binomial option model and Samuelson‐McKean closed form model are utilised to evaluate the likely financial benefits of the two major rehabilitation schemes, exploring option premiums and hurdle values. The real option approaches provide a useful framework within which to gauge a likely gain (loss) and ascertain the viability of rehabilitation in the midst of uncertainties.

The real option approaches produce two outcomes values, the option premium and the hurdle value, which are able to provide insight into the likelihood of rehabilitation for facilities managers/property owners in the intricate and dynamic markets. The higher the option premium, the more attractive a rehabilitation project will be. And the hurdle value usefully reveals a critical timing for exercising rehabilitation.

This paper provides a necessary support for sustaining the rehabilitation schemes. It presents an adequate alternative to examine the value of rehabilitation by taking into account uncertainties in real life. It is useful for facilities managers and property owners, who sometimes neglect potential benefit/loss in the uncertainties when making an investment decision.

This paper has established the framework for evaluating the rehabilitation schemes that has practical implications for decision making. The facilities manager, property owner and government should make some adjustments in formulation of their rehabilitation policies and strategies.

This paper provides facilities managers with a means in which the real option approaches are embedded to express benefit/costs of rehabilitation. With the aid of this information, facilities managers/property owners are able to evaluate rehabilitation more effectively and enhance the decision‐making quality.

Modern financial theory has changed our way of thinking about numerous issues on the practical side of finance, many of which were previously regarded as the sacrosanct domain of experts, steeped in jargon and knowledge, and beyond the ken of that ordinary mortal, the layman. The main contribution of the new theories has been in practically helping us go about investing in shares, usually shares in publicly quoted companies. Thus it helps the external investor in the market in deciding in which share to invest, depending upon his own attitudes towards risk and return.

Examines how individual projects will affect the organization’s stated desire to “add value” by its operations, particularly how the market will judge each project on this basis. Considers rates of return, risk and cost of capital. Provides practical guidance for managers seeking to establish the cost of capital for a number of different types of project. Also provides special guidelines useful in the analysis of cost reduction projects.

The purpose of this paper is to introduce the zero‐modified distributions in the calculation of operational value‐at‐risk.

This kind of distributions is preferred when excess of zeroes is observed. In operational risk, this phenomenon may be due to the scarcity of data, the existence of extreme values and/or the threshold from which banks start to collect losses. In this article, the paper focuses on the analysis of damage to physical assets.

The results show that basic Poisson distribution underestimates the dispersion, and then leads to the underestimation of the capital charge. However, zero‐modified Poisson distributions perform well the frequency. In addition, basic negative binomial and its related zero‐modified distributions, in their turn, offer a good prediction of count events. To choose the distribution that suits better the frequency, the paper uses the Vuong's test. Its results indicate that zero‐modified Poisson distributions, basic negative binomial and its related zero‐modified distributions are equivalent. This conclusion is confirmed by the capital charge calculated since the differences between the six aggregations are not significant except that of basic Poisson distribution.

Recently, the zero‐modified formulations are widely used in many fields because of the low frequency of the events. This article aims to describe the frequency of operational risk using zero‐modified distributions.