...Matthew S. Myers Purpose The purpose of this briefing is to propose a disclosure guidance for Monte Carlo simulation in valuation. Valuation standards permit, and increasingly require, simulation without requiring the valuer to disclose the assumptions it rests on – chiefly the probability...

...Matthew S Myers; Neil A Dunse; Neville Hurst; Koorosh Gharehbaghi Purpose Monte Carlo simulation has been available to property valuers for over fifty years but remains largely unadopted. This paper examines whether the probability distributions used in existing implementations have contributed...

... Publishing Limited 2022 Emerald Publishing Limited Licensed re-use rights only Sustainability Monte Carlo simulation Markov chain Real estate risk management Carbon pricing Generalized autoregressive conditional heteroskedasticity The issue of ecological sustainability...

...-use rights only Property development Feasibility analysis Monte Carlo simulation Sensitivity analysis Scenario analysis Option theory Practical use Survey Australasia Chi-square tests are used as a preliminary search for statistically significant associations between...

...David M. Vetter; Marcia Vetter Purpose The purpose of this paper is to explore how Monte Carlo Simulation (MCS) could have enhanced understanding of the risks involved in the financial strategy for revitalization of Rio de Janeiro’s central city based on the capture of value generated...

...Charles‐Olivier Amédée‐Manesme; Fabrice Barthélémy; Michel Baroni; Etienne Dupuy Purpose This paper aims to show that the accuracy of real estate portfolio valuations and of real estate risk management can be improved through the simultaneous use of Monte Carlo simulations and options theory...

...Pavlos Loizou; Nick French Purpose The purpose of this paper is to deal with the appropriateness of using the Monte Carlo simulation as a technique to calculate risk in real estate development. Design/methodology/approach The paper is divided into two interlinked segments. The first segment...

... outcomes. This paper seeks to address this issue. Design/methodology/approach The simulation‐based excess return model (SERM) is an original methodology developed based on an application of Monte Carlo simulation to project risk assessment combined with the widely practiced DCF modeling. A case study...

... in the absence of comparable sales data (more precisely, in the absence of yields from comparable sales) by making use of the rating system portrayed in the third section, of models of risk and return usually applied in finance, and of a statistical method commonly referred to as Monte Carlo simulation...

...Martin Hoesli; Elion Jani; André Bender Purpose To address formally the issue of uncertainty in valuing real estate. Design/methodology/approach Monte Carlo simulations are used to incorporate the uncertainty of valuation parameters. The probability distributions of the various parameters...

... will show how this model can be used to obtain insight into the influence and effectiveness of specific instruments. © MCB UP Limited 2001 We propagate the use of (Monte Carlo) simulation in order to be able to assess the risks involved in implementing a specific strategy. With simulation a large...

... or continuous time versions of the option pricing model. To overcome this problem we value this lease by Monte Carlo simulation, specifying a stochastic rent‐generating process and calculating the present value of rents for alternative rent paths and compute the average present value from all of the paths...

... example is used (Mollart, 1988). This example is incomplete in several ways, but has the merit of being simple enough to facilitate comparisons. The method of analysis demonstrated in Mollart′s paper is the random sampling process called Monte Carlo simulation (MCS). MCS requires the use of probability...