Output list
Journal article
The economic incentive for risk taking in professional partnerships
Published 2024-07
Review of Managerial Science, 18, 7, 2141 - 2161
Professional service firms are common in some areas, in particular auditing and law. They are organized as partnerships, private corporations, or public corporations. This paper discusses the first category of these three. When a partner leaves the partnership, her/his shares are redeemed. Two alternatives for redemption are at book value, the traditional alternative, or at fair market value. By means of a novel discounted dividends model that includes risk taking, it is shown that there may be an economic incentive for risk taking when the redemption value is equal to book value. There may also be an incentive for risk taking when the redemption value is equal to fair market value. However, the level of risk taking in the latter alternative is not higher than the level of risk taking in the former alternative. Switching from book value to fair market value as redemption value is hence suggested as one way to reduce client propensity for litigation. This paper’s incentive for risk taking in a professional partnership has apparently not been noted in the literature.
Working paper
What Purpose of Firm Valuation in Litigation?: The HQ Example
Published 2023
SSRN Electronic Journal
HQ was a medium-sized Swedish banking group whose licenses were revoked in 2010. The parent company sued the board members and the audit firm for damages. NN was an expert witness for plaintiff and submitted a valuation using DCF and comparables for a but-for scenario where HQ would have survived. This valuation is an example of setting assumptions to obtain a particular result, depending on the purpose of the valuation. Two possible purposes are considered, maximizing the but-for value, and legitimizing a value that has been set in advance based on other considerations. From an analysis of unusual evidence in the DCF part of the valuation model, it appears that the purpose was to legitimize a value that had been set in advance. The author served as expert witness to defendant, with the task of rebutting NN. This paper is based on expert reports by NN and the author.
Working paper
Calibration of DCF Valuation in Litigation: The case of HQ
Published 2019
2
HQ was a medium-sized Swedish banking group whose banking and fund management licenses were revoked in 2010, after losses in trading in equity derivatives for its own account. The parent company of the HQ group sued the board members and the audit firm and the responsible auditor for damages. NN was an expert witness for plaintiff and submitted a DCF valuation of HQ in a but-for scenario, where the banking group would have survived. This valuation is an interesting example of choice of valuation model assumptions to obtain a specific result, i. e., calibration. The nature of the calibration depends on the purpose of the model. Two possible purposes of a DCF model used by an expert for plaintiff are mentioned, maximizing the but-for value, and legitimizing a value that has been set in advance based on other considerations. From an analysis of unusual evidence that is contained in the DCF valuation model for HQ, it appears that the purpose of that model was to legitimize a value that had been set in advance. The author served as expert witness to defendant, with the task of rebutting NN. This paper is based on expert reports by NN and the author.
Journal article
A note on the linear and annuity class of depreciation methods
Published 2018
International Journal of Production Economics, 204, 123 - 134
Depreciation methods are used for allocating acquisition costs of long-lived assets to individual years that benefit from those assets, e.g., in connection with product pricing and regulation of public utilities. The following depreciation methods are sometimes mentioned together in the literature: Nominal linear, real linear, nominal annuity, and real annuity. All are shown to be special cases of one generic formula. For that reason, they are referred to collectively as the linear and annuity class of depreciation methods. The members of this class are ranked (to the extent possible) by their book values. Such a ranking indicates the relative depreciation rates of the class members, and also relative savings due to tax-deductible depreciation. Two applications of members of the linear and annuity class are discussed, to product pricing in classical equilibrium theory, and to incentives for undertaking an investment project. The essential insight from this note is that it is meaningful to group the members of the linear and annuity class into one well-defined class of depreciation methods.
Working paper
A Note on the Linear and Annuity Class of Depreciation Methods
Published 2017
1
The following four elementary depreciation methods are often mentioned together in the literature: Nominal linear, real linear, nominal annuity, and real annuity. All four are shown to be special cases of one generic formula. For that reason, they are referred to collectively as the linear and annuity class of depreciation methods. The four members of this class are then ranked (to the extent possible) by their remaining values. Such a ranking indicates the relative depreciation rates of the class members.
Journal article
Firm valuation with bankruptcy risk
Published 2014
Journal of Business Valuation and Economic Loss Analysis, 8, 1, 91 - 131
Traditional firm valuation discounts forecasted cash consequences that are understood as expected values under some scenario. It is not clear how, and to what extent, uncertainty is incorporated in the valuation. This article constructs a new valuation model where uncertainty, in particular bankruptcy risk, is explicitly included. Bankruptcy denotes a failure situation where a company ceases to operate and its assets are liquidated. At the end of each year, there is a jump to one of three possible states of the world at the end of the following year. A state is a combination of sales revenue for the firm being valued and return on the market index. The third state implies bankruptcy for the firm. The new model includes both the non-steady-state explicit forecast period and the steady-state post-horizon period and derives consistent values for the unlevered firm, the debt, the tax shields, the equity, and the levered firm. All discount rates, and the promised debt interest rate, are derived from certain basic parameters, using the CAPM. The model structure, in particular the manner in which sales revenue serves as driving variable, implies that one needs to perform only one discounting operation for each year, like in Fama (Journal of Financial Economics 5:3-24, 1977). A small annual bankruptcy probability is seen to lead to a noticeable value decrease. There is also a discussion of how to combine traditional firm valuation with inputs from the new valuation model, so as to take bankruptcy risk into account.
Journal article
Hovrättens Prosolviadom: En ekonomisk betraktelse
Published 2014
Juridisk tidskrift, 15, 28 - 56
Journal article
Published 2013
Engineering Economist, 58, 1, 59 - 70
A team from McKinsey (Koller et al. 2010) recommended the value driver formula for continuing value. The idea is as follows: The company is almost in a steady state. However, the existing operations and the subsequent ones, referred to as growth projects, can be somewhat different. That is, the return on new invested capital (RONIC; refers to growth projects) can be lower than the return on invested capital (ROIC; refers to existing operations). Two weaknesses are associated with the McKinsey formula. Firstly, the only permissible case of RONIC < ROIC is where the working capital requirement is different between the growth projects and the existing operations. The usual Gordon formula then gives the same result, so the McKinsey formula is not necessary. Secondly, the implied split into existing operations and growth projects means that the former are valued under the unreasonable assumption of zero inflation. A more significant extended value driver formula is derived that rectifies these weaknesses.
Journal article
Approximate firm valuation with operating leases
Published 2011
Journal of Business Valuation and Economic Loss Analysis, 6, 1
Operating leases are quite important in some industries. There are two possible errors that should be avoided when valuing a company with operating leases. First, one should not neglect the implied lease debt. Such neglect distorts the calculation of free cash flow, required rate of return on the equity under partial debt financing, WACC, and residual equity value in the discounted cash flow model. Second, lease expense and implied lease debt should not be forecasted as constant, historical fractions of sales revenue in the (non-steady-state) explicit forecast period. This paper outlines an approximate procedure for handling operating leases in the discounted cash flow model. This procedure avoids the two possible errors that were mentioned.
Working paper
Firm Valuation with Operating Leases
Published 2011
3
Operating leases are quite important in some industries. There are two possible errors that should be avoided when valuing a company with operating leases. In the first place, one should not neglect the implied lease debt. Such neglect distorts the calculation of free cash flow, required rate of return on the equity under partial debt financing, WACC, and residual equity value in the discounted cash flow model. In the second place, lease expense and implied lease debt should not be forecasted as constant, historical fractions of sales revenue in the (non-steady state) explicit forecast period. This paper outlines an approximate procedure for handling operating leases in valuation models, in particular the discounted cash flow model. This procedure avoids the two possible errors that were mentioned and is shown to result in equity values that are very close to the known, exact values in a stylized example problem. Naive valuation (that makes both errors) results in equity values that can be quite far away from those same known, exact values.