2014 ◽  
Vol 18 (3) ◽  
pp. 238-252 ◽  
Author(s):  
Jussi Vimpari ◽  
Seppo Junnila

The market value of green properties is already acknowledged in scientific literature, but it has still remained unclear how green certificates are incorporated into property valuation. In this study, value influencing mechanism of green certificates in property investment is studied. A widely used discounted cash flow (DCF) model for property valuation was constructed and communicated with spreadsheet to industry professionals for valuing an office property in metropolitan Finland. The goal was to understand the value influencing mechanism and even deeper to identify the differences in DCF parameters between certified properties and non-certified properties. The results show that a green certificate increases on average the property value with 9.0% in the DCF valuation model. Improved yield and net rental income were the main reasons for the higher property value. Interestingly, this is the first known study to empirically open the value influencing mechanisms of green properties presented in earlier theoretical studies.


2000 ◽  
Vol 14 (2) ◽  
pp. 169-189 ◽  
Author(s):  
Leonard C. Soffer

One of the cornerstones of financial statement analysis is the discounted cash flow valuation. Despite the broad use of this valuation technique, and the economic importance of employee stock options to firm values, there is little guidance on how employee stock options should be incorporated in a valuation. This paper provides a comprehensive approach to doing so, including consideration of the income tax implications of option exercises, the simultaneity of equity and option valuation, and the use of the disclosures that were mandated recently by Statement of Financial Accounting Standards No. 123. The paper provides a comprehensive example using Microsoft's fiscal 1997 financial statements and employee stock option disclosure. This paper should be of interest to academics and practitioners involved in corporate valuation and financial statement analysis.


Author(s):  
Bijan Vasigh ◽  
Farshid Azadian ◽  
Kamran Moghaddam

Aircraft valuation and the estimation of an accurate aircraft price is undoubtedly a challenging task that has significant consequences for airlines. This paper presents an asset valuation model to show how a series of endogenous as well as exogenous factors can influence the value of an aircraft. Specifically, a discounted cash flow methodology is used to forecast the valuation of an old or new generation aircraft. Both total operating revenue and aircraft operating costs are taken into account to devise a reliable pre-tax profit measurement that is used as the basis of the discounted cash flow analysis. A sensitivity analysis based on Monte Carlo simulation is utilized to identify which factors have a more significant influence on the suggested aircraft value. Therefore, it addresses how value fluctuates in response to economic fluctuations. Indeed, the calculated value of an aircraft highly depends on the underlying assumptions used. The calculated value is compared with available data in a case study for verification.


2015 ◽  
Vol 5 (2) ◽  
pp. 170-183 ◽  
Author(s):  
Ranjit Tiwari ◽  
Harish Kumar Singla

Purpose – Being a developing nation with huge opportunity of growth prospects the assessment of valuation models becomes important to have a more realistic value estimate. The purpose of this paper is to empirically examine the comparative accuracy and explanatory performance of discounted cash flow (DCF) and residual income model (RIM) valuation models for the Indian chemical industry and come up with a composite valuation model. Design/methodology/approach – To achieve the objective of the study the authors first determine the intrinsic values using both the models. Comparisons of the models are based on prediction errors and the explanatory performance of market value on value estimates. The study uses panel regression to forecast estimates of earnings and measure explanatory performance. The authors examine the ability of the value estimates to explain cross-sectional variation in the observed market values. The study also uses GMM method for deriving robust estimators. Variables for the study are collected from the CMIE’s prowess data base (release 4). The authors consider all 1,075 BSE listed chemical companies for the purpose of the study. The study uses annual data points starting from 31 March 2002 to 31 March 2011. Findings – The comparative framework shows that both Residual Income model and Composite Valuation model are superior to Discounted cash flow model and are equally likely. But since composite value estimates considers all bonafide informations of individual models, the estimates of Composite Valuation model becomes more reliable. Research limitations/implications – The study only compares and combines the two most widely used valuation models around the world. Future studies can be conducted using the third widely used valuation models, i.e. multiples and see the level of accuracy of individuals as well as the composite model. Originality/value – As a concern very few research has been conducted in this area in India. This paper provides practitioners with a snapshot of the applicability of DCF and RIM valuation models. And also shows how a composite value estimate can improve accuracy.


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