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The aim of this paper is to answer the question: Do discounted cash flows valuation methods provide always the same value?

This paper is a summarized compendium of ten methods including: free cash flow; equity cash flow; capital cash flow; adjusted present value; business's risk‐adjusted free cash flow and equity cash flow; risk‐free rate‐adjusted free cash flow and equity cash flow; economic profit; and economic value added.

All ten methods always give the same value.

The disagreements among the various theories of firm valuation arise from the calculation of the value of the tax shields (VTS). The paper analyses nine different theories.

The paper is an analysis of ten methods of company valuation using discounted cash flows and nine different theories about the VTS.

The purpose of this paper is to establish the flow-to-equity method, the free cash flow (FCF) method, the adjusted present value method and the relationships between these methods when the FCF appears as an annuity. More specifically, we depart from the two most widely used evaluation settings. The first setting is that of Modigliani and Miller who based their analysis on a stationary FCF. The second setting is that of Miles and Ezzell who worked with an FCF that represents an autoregressive possess of first order.

Inspired by recent observations in the literature concerning cash flows, discount rates and values in discounted cash flow (DCF) methods, we mathematically derive DCF valuation formulas for annuities.

The following relationships are established: (a) the correct discount rate of the tax shield when the free cash flow takes the form of a first-order autoregressive annuity, (b) the direct valuation of the tax shield from the free cash flow for a first-order autoregressive annuity, (c) the correct translation from the required return on unlevered equity to the levered equity, when the free cash flow is a stationary annuity and (d) direct calculation of the unlevered and levered firm values and the value of the tax shield for a stationary annuity.

Until now the complete set of formulas for the valuation of stochastic annuities by different DCF methods has not been established in the literature. These formulas are developed here. These formulas are important for practitioners and academics when it comes to the valuation of cash flows of finite lifetime.

The primary purpose of this paper is to develop the translation formula between the required return on unlevered and levered equity for the specific case where cash flows have a finite lifetime and the flow to debt is prespecified. The secondary purpose of this paper is to underpin the importance of the type of stochasticity of cash flows for translation formulas. A general derivation of such formulas and the discount rate in the free cash flow approach is shown.

The paper starts with the same assumptions that have been applied by Modigliani and Miller (1963), Miles and Ezzell (1980) and other researchers. Then the paper develops the mathematical foundations to apply a deterministic backward-iterative scheme for valuing cash flows. After stating the valuation formulas for levered and unlevered equity, debt and tax shields, the authors mathematically derive the relationship between the unlevered return and levered return on equity.

Conventional translation formulas apply to very special cases. They can generally not be used for projects with nonconstant leverage and a finite lifetime. In general, translation formulas depend on continuing values, cash flows, leverage, taxation, risk-free rate, etc. In this paper, the translation depends on the structure of the debt in addition to the well-known parameters in conventional formulas. This paper formula contains the Modigliani-Miller translation formula as a special case.

The authors develop a novel formula for the translation of the required return on unlevered to levered equity. With this formula, the authors offer a solution for the consistent valuation of cash flows with a limited lifetime and given debt financing.

The question that inevitably surfaces in practice, and certainly in lecture halls, is which equity valuation method is superior. Popular opinion holds that academia and investment practitioners may have different preferences in this regard. This article investigates which primary minority and majority equity valuation methods are advocated by academia, and how well these preferences are aligned with the equity valuation methods that investment practitioners apply in practice. The research results reveal that, contrary to popular belief, academia and practice are fairly well aligned in terms of preferred equity valuation methods, with notable differences in their respective approaches.

This paper aims to analyse the appraisal of a specialised form of real estate – data centres – that has a unique blend of locational, physical and technological characteristics that differentiate it from conventional real estate assets. Market immaturity, limited trading and a lack of pricing signals enhance levels of appraisal uncertainty and disagreement relative to conventional real estate assets.

Given the problems of applying standard discounted cash flow, an approach to appraisal is proposed that uses pricing signals from traded cash flows that are similar to the cash flows generated from data centres. Based on “the law of one price”, it is assumed that two assets that are expected to generate identical cash flows in the future must have the same value now. It is suggested that the expected cash flow of assets should be analysed over the life cycle of the building. Corporate bond yields are used to provide a proxy for the appropriate discount rates for lease income. Since liabilities are quite diverse, a number of proxies are suggested as discount and capitalisation rates including indexed‐linked, fixed interest and zero‐coupon bonds.

The application of conventional discounted cash flow approaches to the appraisal of data centres requires information about a wide range of inputs that is difficult to derive from market signals or estimate analytically. In practice, discounted cash flow appraisals of data centre facilities are forced to incorporate non‐market assumptions that are inevitably subjective. Cash flows from data centres tend to be more complicated because of the high levels of current and capital expenditure compared with conventional assets. This requires an understanding of the appraisal of liabilities as well as income. Whilst the use of price information from similar cash flows such as corporate bonds is helpful, there are rarely assets and liabilities that have identical cash flows and risks and some approximation is necessary.

The digitalisation of business and society has produced a different form of real estate asset that is specialised, physically complex and whose operation, maintenance and management require specialist staffing and high levels of current and capital expenditure. The complexity of the cash flows and the lack of active trading create significant appraisal problems. This paper proposes an alternative approach to appraisal that utilises external pricing signals to appraise the various incomes and costs.

The purpose of this paper is to provide additional empirical evidence about capital budgeting practices in an emerging economy.

The study utilizes a questionnaire and interview to collect data from respondents.

The results show that the JIC give almost equal importance to the discounted and undiscounted cash flow methods in evaluating capital investment projects. It appeared also that the most frequent used technique is the profitability index followed by the payback period.

Based on these results, the researchers recommend putting a great attention to apply the concepts and techniques of capital budgeting in an appropriate manner. The corporations should also consider importance of information technology and its applications in capital budgeting.

This is the first study applied on the capital budgeting practices and its related issues in the JIC.

Synthesis of the customer lifetime value and the shareholder value (SHV) approach in order to develop an integrated, marketing‐based method for corporate valuation.

Discusses the limitations and assumptions of existing methods to estimate customer value components and examines the limitations of the SHV concept. By linking the customer equity (CE) and the SHV approach, a formal model to calculate corporate value is developed. The discounted cash flow method is used for modelling the profit streams.

Provides formulas for the estimation of both the individual lifetime value of a customer and CE. Provides a comprehensive model to estimate corporate value based on customer‐related cash flows and traditional financial metrics. Introduces typical cases, in which the use of a customer‐based valuation seems beneficial. Illustrates how our approach can be applied by using a simple case study on M&A in the telecommunication industry. Gives suggestions on how to obtain the necessary data, partially even from publicly available sources.

Advancement of the quantitative techniques for modelling the customer value components would allow for relaxing some restrictive assumptions. The explicit modelling of the future growth of the customer base (the acquisition rate) would increase the applicability of the model. Additionally, taking into account heterogeneity within the customer cohorts is a task for future research. Finally, our model needs to be applied more extensively using real data for the input variables.

A CE‐based valuation approach can guide marketing investments and helps to avoid misallocation of resources. Based on an example in the field of M&A, we demonstrate the usefulness of the approach for obtaining a realistic indicator of firm value. It helps to assess whether an acquisition is economically sensible. We provide evidence for the superiority of a customer‐based approach over traditional financial methods.

While the traditional SHV method considers cash flows at a highly aggregated level, our approach employs disaggregated cash flows on the level of individual customers. Thereby we do incorporate the lifetime values of future customers by considering different cohorts. We do capture customer defection by incorporating retention rates. Our model enables a more detailed and valid estimation of corporate value by accounting for the single customer activities that drive marketing actions. This enables a better forecasting of the free cash flow. Incorporating customer‐related drivers into financial valuation models makes easier to assess the return on marketing investments.

This chapter addresses the general process of determining the value of a particular company, with additional detail on how valuation processes might be adapted to produce credible value conclusions of emerging technology ventures. There are three primary approaches to business valuation. There is the income approach, which indicates that value is a product of expected future cash flows – cash flows that are discounted to equate them to dollars in-hand (present value). There is the market approach, which attempts to draw conclusions of value based on the market prices of similar companies in the public and/or private markets. Finally, there is the asset approach, which indicates that the value of a company is equal to the sum of the values of its net assets. Specific adjustments are appropriate with respect to each of these approaches where the value of an emerging technology company is concerned. Professional valuation standards require that all of these approaches be considered in the valuation, even if the available information does not permit their credible application. Often, multiple approaches and techniques can be applied. The results of applying multiple techniques often do not overlap, and it is the analyst’s very important task to reconcile differing valuation results, or to decide which result or results should be discarded.

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.

The authors' method considers the options embedded in Continental European lease contracts drawn up with tenants who may move before the end of the contract. The authors combine Monte Carlo simulations for both market prices and rental values with an optional model that takes into account a rational tenant's behaviour. They analyze how the options significantly affect the owner's income.

The authors' main findings are that simulated cash flows which take account of such options are more reliable that those usually computed by the traditional method of discounted cash flow.

Some limitations are inherent to the authors' model: these include the assumption of the rationality of tenant's decisions and the difficulty of calibrating the model given the lack of data in many markets.

The main contribution of the paper is both by accounting for market risk (Monte Carlo simulations for the prices and market rental values) and for accounting for the idiosyncratic risk (the leasing risk).

The comparison of appraisal and valuation techniques between countries must ideally review methods currently used by practitioners. In the absence of such detailed research, an impression of current practice can be gleaned by comparing recent articles in the main valuation journals in the UK and the USA. This analysis, while not definitive, suggests that certain techniques, such as discounted cash flow, are more readily accepted in the US than in the UK.