Abstract
The application of automated valuation methodology (AVM) procedure to income approach normally deals with direct capitalization. This happens although the great diffusion of discounted cash flow (DCF) analysis. The main objectives of paper are twofold: first, we aim to propose an AVM procedure based on the relationship between the DCF inputs and outputs. Second, we seek to determine discount rate and local risk premium in the case of Bari commercial market The study also refines discussions on risk premium factor in the regressed DCF application. The study also and identifies the room for enhancing the suggested methodology. The solution proposed is the model A of Regressed DCF (d’Amato and Kauko 2012).
The paper has been written in strict cooperation between the two authors. Therefore the credit of the article should be equally divided between them.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The emission is available at the following internet address http://www.dt.mef.gov.it/export/sites/sitodt/modules/documenti_it/debito_pubblico/risultati_aste/risultati_aste_btp_10_anni/BTP_10_Anni_Risultati_Asta_del_28-31.08.2015.pdf last contact 11.09.2015.
References
Baum, A., Crosby, N., & MacGregor, B. D. (1996). Price Formation, Mispricing and Investment Analysis in the Property Market. Journal of Property Valuation and Investment, 10, 709–726.
Ciuna, M., Salvo, F., & De Ruggiero, M. (2014a). Property prices index numbers and derived indices. Property Management, 32(2), 139—153. doi: 10.1108/PM-03-2013-0021.
Ciuna, M., Salvo, F., & Simonotti, M. (2014b). Multilevel methodology approach for the construction of real estate monthly index numbers. Journal of Real Estate Literature, 22(2), 281–302.
d’Amato. (2017). Aspects of commercial property valuation and regressed DCF. In D. Lorenz (Ed.), Behind the price: Valuation in a changing environment. Wiley, in print.
d’Amato, M. (2015). Income approach and property market cycle. International Journal of Strategic Property Management, 29(3), 207–219.
d’Amato, M. (2004). A comparison between RST and MRA for mass appraisal purposes. A case in Bari. International Journal of Strategic Property Management, 8, 205–217.
d’Amato, M. (2008). Rough set theory as property valuation methodology: The whole story, Chap. 11. In T. Kauko & M. d’Amato (Eds.), Mass Appraisal an International Perspective for Property Valuers (pp. 220–258). Wiley Blackwell.
d’Amato, M. (2010). A location value response surface model for mass appraising: An “Iterative” location adjustment factor in Bari, Italy. International Journal of Strategic Property Management, 14, 231–244.
d’Amato, M., & Anghel, I. (2012): Regressed DCF, real estate value, discount rate and risk premium estimation. A case in Bucharest. In Saverio Miccoli (Ed.), Appraisals Evolving Proceedings in Global Change (Vol. I, pp. 765–776). Real Estate Market and Information Systems, Italian Association of Appraisers and Land Economists, CeSET.
d’Amato, M., & Kauko, T. (2012). Sustainability and risk premium estimation in property valuation and assessment of worth. Building Research and Information, 40(2), 174–185.
d’Amato, M., & Kauko, T., (2008). Property market classification and mass appraisal methodology, Chap. 13, In T. Kauko, & M. d’Amato (Eds.), Mass appraisal an international perspective for property valuers (pp. 280–303), Wiley Blackwell.
d’Amato, M., & Siniak, N. (2008). Using Fuzzy numbers in mass appraisal: The case of belorussian property market, Chap. 5. In T. Kauko, M. d’Amato (Eds.), Mass appraisal an international perspective for property valuers (pp. 91–107). Wiley Blackwell.
European Central Bank. (2014). Asset Quality Review phase 2, Manual, March.
Gelman, A. (2007). Scaling regression inputs by dividing by two standard deviations. Technical Report, Department of Statistics, Columbia University.
Hendershott, P. H., & Hendershott, R. J. (2002). On Measuring real estate risk (pp. 35–40). Winter: Real Estate Finance.
Hoesli, M., & MacGregor, B. (2000). Property investments. principles and practice of portfolio management. Edinburgh: Longman.
IAAO. (2003). Standard on Automated Valuation Models (AVM). Chicago, IL: International Association of Assessing Officers. Retrieved August 25, 2015 from http://docs.iaao.org/media/standards/AVM_STANDARD.pdf
IVSC. (2013). International Valuation Standards, London.
IVSC. (2011). Technical information paper No. 1, The Discounted Cash Flow (DCF) Method –Real Property and Business Valuations, Exposure Draft. Retrieved August 25, 2015 from http://www.ivsc.org/sites/default/files/DCF%20Exposure%20Draft.pdf
Kaklauskas, A., Daniūnas, A., Dilanthi, A., Vilius, U., Lill Irene, Gudauskas, R., et al. (2012). Life cycle process model of a market-oriented and student centered higher education. International Journal of Strategic Property Management, 16(4), 414–430.
Kauko, T., & d’Amato, M. (2011). Neighbourhood effect. International encyclopedia of housing and home. Edited by Elsevier Publisher.
Kauko, T., & d’Amato, M. (2008), Introduction: Suitability issues in mass appraisal methodology In T. kauko, & M. d’Amato (Eds.), Mass appraisal an international perspective for property valuers (pp. 1–24). Wiley Blackwell.
Kauko, T., & d’Amato, M. (2008). Preface In T. Kauko, & M. d’Amato (Eds.), Mass appraisal an international perspective for property valuers (p. 1). Wiley Blackwell.
Rabianski, J.G. (2002). Vacancy in market analysis and valuation. The Appraisal Journal, 191–199.
Renigier-Biłozor, M., Wiśniewski, R., Biłozor, A., & Kaklauskas, A. (2014a). Rating methodology for real estate markets—Poland case study. Pub. International Journal of Strategic Property Management, 18(2). 198–212. ISNN. 1648-715X.
Renigier-Biłozor, M., Dawidowicz, A., & Radzewicz, A. (2014b). An algorithm for the purposes of determining the real estate markets efficiency in Land Administration System. Pub. Survey Review, 46(336), 189–204.
RICS. (2013). Automated Valuation Models. Information Paper.
Ross, S. (1976). The Arbitrage price theory of capital asset pricing. Journal of Economic Theory, 13, 341–360.
Sharpe, W. F. (1964). Capital asset price: A theory of market equilibrium under condition of risk. Journal of Finance, 19(3), 425–442.
Taylor, M. A., & Rubin, G. (2002). Raising the bar: Simulation as a tool for assessing risk for real estate properties and portfolios (pp. 18–34). Winter: Real Estate Finance.
Wheaton, W. C., Torto, R. G., Sivitanides, P. S., Southard, J. A., et al. (2001). Real estate risk: A forward-looking approach (pp. 20–28). Fall: Real Estate Finance.
Willison, D.L. (1999). Towards a more reliable cash flow analysis. The Appraisal Journal, 75–82.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
d’Amato, M., Coskun, Y. (2017). An Application of Regressed Discounted Cash Flow as an Automated Valuation Method: A Case in Bari. In: d'Amato, M., Kauko, T. (eds) Advances in Automated Valuation Modeling. Studies in Systems, Decision and Control, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-49746-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-319-49746-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49744-0
Online ISBN: 978-3-319-49746-4
eBook Packages: EngineeringEngineering (R0)