Abstract
This paper proposes a logical-deductive model for the estimate of forced sale value, in support of individuals involved in real estate auctions. This value is estimated by starting from market value, considering an appropriate discount/premium coefficient which, due to obtainable yields and associated risk, guarantees transaction admissibility for the investor in terms of convenience. The model borrows from Ellwood logic as applied to the real estate sector, integrated through the evaluation approach of investment risk inherent in Real Options Analysis. Applying this model to one hundred and forty cities in which the Italian courts are based allowed for comparison of the discount/premium coefficients determined by the model with those determined by sector operators. The results of this application underlined the speculative behavior of market operators, who mainly focus on obtaining better discounts than those admissible, while at the same time supplying useful indications on the territorial contexts where the difference between hammer price and admissible value can be maximized.
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References
Agenzia del Territorio: Glossario delle definizioni tecniche in uso nel settore Economico. Immobiliare (2008)
Associazione Bancaria Italiana (ABI): Linee guida per la valutazione degli immobili in garanzia delle esposizioni creditizie, gennaio 2018 (2018)
Banca d’Italia: Disposizioni di vigilanza per le bance. Circolare n.285 del 17 dicembre 2013 (2013)
Banca d’Italia: Le procedure esecutive immobiliari: il funzionamento e gli effetti delle recenti riforme. Questioni di Economia e Finanza, paper 448, luglio 2018 (2018)
Banca d’Italia: Testo Unico Bancario. Decreto legislativo 1° settembre 1993, n. 385. Testo unico delle leggi in materia bancaria e creditizia. Versione aggiornata al decreto legislativo 26 ottobre 2020, n. 147 (2020)
Born, W., Pyhrr, S.: Real estate valuation: the effect of market and property cycles. J. Real Estate Res. 9(4), 455–485 (1994)
Bulan, L., Mayer, C., Tsuriel, S.C.: Irreversible investment, real options, and competition: evidence from real estate development. J. Urban Econ. 65, 237–251 (2009)
Cacciamani, C.: Il rischio immobiliare: una soluzione di rating dell'investimento immobiliare. EGEA, Milano (2003)
Colwell, P.F.: Tweaking the DiPasquale-wheaton model. J. Hous. Econ. 11(1), 24–39 (2002)
Comitato Scientifico dell’Associazione T.S.E.I. – Tavolo di Studio sulle Esecuzioni Italiane: Quarta edizione dello “Studio dei tempi dei tribunali italiani in materia di procedure esecutive individuali”, settembre 2020 (2020)
Consiglio Superiore della Magistratura (CSM): Buone prassi nel settore delle esecuzioni immobiliari – linee guida. Delibera 11 ottobre 2017 (2017)
Del Giudice, V., Passeri, A., De Paola, P., Torrieri, F.: Estimation of risk-return for real estate investments by applying Ellwood’s model and real options analysis: an application to the residential real estate market of Naples. Appl. Mech. Mater. 651, 1570–1575 (2014)
Donner, H.: Foreclosures, returns and buyer intention. J. Eur. Real Estate Res. 39(2), 189–213 (2017)
Ellwood, L.W.: Ellwood Tables for Real Estate Appraising and Financing. Ballinger (1970)
Immobiliare.it: Osservatorio annuale di Immobiliare.it (2020)
International Valuation Standards Council: International Valuation Standards 2020 (2020)
Locurcio, M., Tajani, F., Morano, P., Anelli, D.: A multi-criteria decision analysis for the assessment of the real estate credit risks. In: Morano, P., Oppio, A., Rosato, P., Sdino, L., Tajani, F. (eds.) Appraisal and Valuation. GET, pp. 327–337. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-49579-4_22
Lowry, C.A., Woodall, W.H., Champ, C.W., Rigdon, S.E.: A multivariate exponentially weighted moving average control chart. Technometrics 34(1), 46–53 (1992)
Lucas, J.M., Saccucci, M.S.: Exponentially weighted moving average control schemes: properties and enhancements. Technometrics 32(1), 1–12 (1990)
Manganelli, B., Morano, P., Tajani, F.: La valutazione del rischio nell’analisi finanziaria di Ellwood per la stima indiretta di immobili urbani. Aestimum 55, 19–41 (2009)
Manganelli, B., Morano, P., Tajani, F.: Risk assessment in estimating the capitalization rate. WSEAS Trans. Bus. Econ. 11(1), 197–206 (2014)
Marcucci, M., Pischedda, A., Profeta, V.: Notes on Financial Stability and Supervision: The Changes of the Italian Insolvency and Foreclosure Regulation Adopted in 2015. Banca D’Italia Eurosistema (2015)
Miller, K.D., Waller, H.G.: Scenarios, real options and integrated risk management. Long Range Plan. 36(1), 93–107 (2003)
Morano, P., Tajani, F., Manganelli, B.: An application of real option analysis for the assessment of operative flexibility in the urban redevelopment. WSEAS Trans. Bus. Econ. 11(1), 476–487 (2014)
PWC: The Italian NPL market, December 2020 (2020)
Reviva: Scenario aste immobiliari (2020)
RICS: RICS Valuation – Professional Standards, London, UK (2019)
Tajani, F., Morano, P., Salvo, F., De Ruggiero, M.: An evaluation model for an effective risk assessment in the rent to buy property market. Prop. Manag. 38(1), 124–141 (2019)
Tajani, F., Morano, P.: An empirical-deductive model for the assessment of the mortgage lending value of properties as securities for credit exposures. J. Eur. Real Estate Res. 11(1), 44–70 (2018)
Winters, P.R.: Forecasting sales by exponentially weighted moving averages. Manage. Sci. 6(3), 324–342 (1960)
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Tajani, F., Morano, P., Locurcio, M., Amoruso, P., Torre, C.M. (2021). An Evaluation Model for the Optimization of Property Sales in Auction Markets. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_18
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