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A proposal to estimate the valuation of small and medium size companies using geographically comparable information

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Abstract

A common prerequisite in valuation analysis is the availability of temporal information on financial variables. Nevertheless, reduced size companies-representing more than 98% on current productive systems- fail to have available temporal information to estimate valuations. In this paper, we offer a procedure for estimating reduced size companies’ values under the hypothesis that spatial behaviour matters for valuations. With this aim, we present the theoretical background for this hypothesis and introduce a spatial proposal with a case study of industrial companies where the significant role of space on firms’ valuations is previously tested. This analysis shows the relevance of spatial information in firms’ valuation confirming the predictive capability of our approach applying the out of sample methodology

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  • Mate, Mariluz & Occhino, Paolo, 2020. "A proposal to estimate the valuation of small and medium size companies using geographically comparable information," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 4(1), pages 34-51, January.
    • Handle: RePEc:aaz:sbir01:v:4:y:2020:i:1:p:34-51
    DOI: 10.26784/sbir.v4i1.229
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    1. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411, January.
    2. Hui Chen, 2010. "Macroeconomic Conditions and the Puzzles of Credit Spreads and Capital Structure," Journal of Finance, American Finance Association, vol. 65(6), pages 2171-2212, December.
    3. Michel Dietsch, 2004. "Should SME exposures be treated as retail or corporate exposures: a comparative analysis of probabilities of default and assets correlations in French and German SMEs," ULB Institutional Repository 2013/14164, ULB -- Universite Libre de Bruxelles.
    4. Woolley,Simon, 2009. "Sources of Value," Cambridge Books, Cambridge University Press, number 9780521519076, January.
    5. N. Berger, Allen & F. Udell, Gregory, 1998. "The economics of small business finance: The roles of private equity and debt markets in the financial growth cycle," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 613-673, August.
    6. Mark T. Leary & Michael R. Roberts, 2014. "Do Peer Firms Affect Corporate Financial Policy?," Journal of Finance, American Finance Association, vol. 69(1), pages 139-178, February.
    7. Im, Hyun Joong, 2019. "Asymmetric peer effects in capital structure dynamics," Economics Letters, Elsevier, vol. 176(C), pages 17-22.
    8. Giuseppe Arcuri & Nadine Levratto, 2020. "Early stage SME bankruptcy: does the local banking market matter?," Small Business Economics, Springer, vol. 54(2), pages 421-436, February.
    9. Nick French, 2013. "The discounted cash flow model for property valuations: quarterly in advance cash flows," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(6), pages 610-614, September.
    10. Nick French, 2013. "The discounted cash flow model for property valuations: quarterly cash flows," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(2), pages 208-212, March.
    11. Dietsch, Michel & Petey, Joel, 2004. "Should SME exposures be treated as retail or corporate exposures? A comparative analysis of default probabilities and asset correlations in French and German SMEs," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 773-788, April.
    12. Woolley,Simon, 2009. "Sources of Value," Cambridge Books, Cambridge University Press, number 9780521737319, January.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
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    Cited by:

    1. Sarfraz Hussain & Van Chien Nguyen & Quang Minh Nguyen & Huu Tinh Nguyen & Thu Thuy Nguyen, 2021. "Macroeconomic factors, working capital management, and firm performance—A static and dynamic panel analysis," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    2. Damiano Montani & Daniele Gervasio & Andrea Pulcini, 2020. "Startup Company Valuation: The State of Art and Future Trends," International Business Research, Canadian Center of Science and Education, vol. 13(9), pages 1-31, September.
    3. Giulia Cattafi & Giovanna Mariani & Francesco Pistolesi & Domenico Nicol?, 2023. "Cheating in the evaluation. An expedient to estimate the impact of intangibles on the enterprise value of the high-growth start-ups," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(3), pages 193-218.

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    More about this item

    Keywords

    location; company valuation; geographically comparable companies; discounting cash flows model; SMEs;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies

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