EVALUATION OF MULTIFUNCTIONAL BUILDING LOCATED IN MILAN, P.le OBERDAN, 4 COURSE OF EVALUATION AND MANAGEMENT OF REAL ESTATE Prof. Baiardi Liala
GROUP 10: Dealexandris Andrea - 898372 Gaglione Giacomo - 899501 Giglio Alessio - 899997 Manco Riccardo - 792480 Management of Built Environment Academic Year 2017/2018
Wei Tiantian - 893447 Zhang Jianing - 891975
Index 0. INTRODUCTION ................................................................................................................................... 2 1.
PROPERTY IDENTIFICATION ............................................................................................................ 2
1.1. Ownership ............................................................................................................................................ 3 1.2. Location of the property ...................................................................................................................... 3 1.3. Accessibility of the property ................................................................................................................. 4 1.4. Facilities and commercial activities ...................................................................................................... 5 1.5. Encumbrances and mortgages ............................................................................................................. 7 1.6. Planning status ..................................................................................................................................... 7 1.7. Architectural and technological features ............................................................................................. 7 1.7.1. Structure and finishing ................................................................................................................. 8 1.7.2. Description of internal distribution of the building ...................................................................... 9 1.8. Object of the evaluation ....................................................................................................................... 9 1.8.1. Cadastral details .......................................................................................................................... 9 1.8.2. Consistences ................................................................................................................................ 9
2. EVALUATION PROCESS .................................................................................................................... 12 2.1. Market approach ................................................................................................................................ 12 2.1.1. Indirect sources data for the calculation of market values ........................................................ 14 2.1.2. Direct sources data for the calculation of market values .......................................................... 19 2.1.3. Determination of market values ................................................................................................ 24 2.2. Evaluation through the analytical method of capitalization of income ............................................. 33 2.2.1. Indirect sources data for the calculation of market values ........................................................ 34 2.2.2. Direct sources data for the calculation of incomes .................................................................... 38 3. Cap Rate ........................................................................................................................................... 49 4. Conclusion ........................................................................................................................................ 52
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0. INTRODUCTION On request of costumer Baiardi Liala, this report, undersigned in 31/10/2017, aims to identify the market value of the building located in P.le Oberdan 4 Milan in order to sell it.
The documents available for evaluation of the property are: ยง Plans of each floor that composed the building; ยง Cadastral data of each units including box and cellar. More information, pictures and data, contained in the report, were obtained through a visit of the site. In order to evaluate the building, two types of approaches will be used: ยง Market approach: the value is estimated on the basis of the prices at which similar items are available or were sold recently, making appropriate adjustments for differences in quality, quantity or size; ยง Income approach: the value is estimated through the capitalization of its income at a certain rate of return.
1. PROPERTY IDENTIFICATION This section explains and describes the object of our evaluation.
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1.1. Ownership The owner of the property is Polytechnic of Milan.
1.2. Location of the property The building is located in “P.le Guglielmo Oberdan” in Milan. It is included in the neighborhood Porta Venezia, zone 3, just at the border with zone 1.
lLORETO - PIOLA
Zones of Milan
Localisation of the property
The property is located at the north side of Guglielmo Oberdan square, which overlooks “Porta Venezia” and “I. Montanelli” garden.
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1.3. Accessibility of the property
The building is accessible, both by walk and by car by street Paolo Mascagni and street Marcello Malpighi, in particular, there are three pedestrian entrances and one of those also allows entry by motorbikes.
The three entrances of the building
Paolo Maccagni’s street entrance
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Fig 1, 2, 3 – Public transports near the property Fig 1
Fig 2
The area is easily accessible by the following public transport: Underground service: NM1 – “P.ta Venezia” 150 m. Ground Services: Tran: 9, 19, 1, 33, 5 Porta Venezia train station – S1, S2, S5, S6, S13 – 450m. away • 10 minutes to reach Duomo using NM1 • 15 minutes to reach Central station • 30 minutes to reach Linate Airport • 15 minutes to reach Città Studi Fig 3
1.4.
Facilities and commercial activities
Considering that the building is located in a very bustling neighborhood, the area is full of bars, cafes, restaurants and green areas as you can see in the next images.
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Facilities near “G. Oberdan” – Source: P.G.T. of Milan 2016 Legend
Green areas near “G. Oberdan” – Source: P.G.T. of Milan 2016
Restourants near “G. Oberdan“ square Supermarkets near “G. Oberdan” square
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Drugstores near “G. Oberdan” square Hospitals near “G. Oberdan” square
The other facilities in the zone are stationeries, small boutiques and banks. Regarding the services, in case of need, there are many private clinics and car parks.
1.5.
Encumbrances and mortgages
The ownership confirmed that there are not encumbrances and mortgages for the property.
1.6.
Planning status
About this property, there isn't the possibility to extend it. The only changes allowed are regular innovations under current laws.
1.7.
Architectural and technological features
Actually, the property is composed by one building with three different parts which all contain two underground floors. The three parts are with 6, 5 and 4 floors above ground separately. The underground site is used for the allocation of box and cellars. The property has the bordering walls in common with the adjacent buildings as we can see from the following image.
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Generally, the building masonry is well maintained and no extraordinary maintenance works are needed. 1.7.1. Structure and finishing The property was built in the rationalist style typical of the mid-900, in fact it has simple and regular geometric shapes with no aesthetic excess in accordance with the use made of it. Probably, the structure corresponds to a traditional frame of reinforced concrete beams and pillars. The facade of the building has the following characteristics: the part corresponded to the ground floor and first floor is continuous decorated with dark stone material while for the other upper floors there is an alternation of windows with open balconies.
The faรงade of the building
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Technological system No information is provided about the electrical, plumbing and sanitary system. Regarding the heating system there is a centralized warming. The building is equipped with one elevator that is positioned in the center part of the building closed to stairs. The building is old and we can’t see the condition boxes on the facade, therefore we assume that there is not air conditioned. 1.7.2. Description of internal distribution of the building The building has two sets of stairs and only one elevator.
1.8.
Object of the evaluation
1.8.1. Cadastral details The building has a residential and a commercial use in particular for private offices. In detail, the building is composed by: 3 offices, 12 apartments, 1 gatehouse, 1 bank, 1 drugstore, 1 waste area, 2 bathrooms, 19 cellars, 7 corridors and 2 no-habitat attics. The building is identified at Nuovo Catasto Edilizio e Urbano of Milan, sheet 351 parcel 157. 1.8.2. Consistences For the assessment of a building unit, it’s necessary to calculate commercial area, the units of measurement commonly used in Italy and issued by state law thanks to DPR 138/98 concerning the “Rules for the revision of the census areas of valuation and pricing of urban housing units”. To estimate an apartment or an office there needs to calculate commercial area that is the sum of: 1. net usable area of main rooms and direct accessories; 2. interior walls surface; 3. exterior walls surface; 4. appliances of exclusive use such as terraces, balconies, patios, gardens, cellars, basement rooms, attics, parking lots, garages, etc.
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However, all these parts do not have the same importance. The main rooms, direct accessories and interior walls are considered entirely (100%); exterior walls are also calculated entirely if they are not more than 50 cm, otherwise they’ll be halved. It’s important to specify that common walls are considered at least 50%. Regarding to appliances of exclusive use, there are different percentages to be applied and that depends on several factors and subjective assessments. For the assigning weights, we started from those defined by Borsino Immobiliare as follow: Description
Incidence
Notes
Net usable area walkable
100%
External walls
100%
max 50 cm
External walls - communion
50%
max 25 cm
25-50%
50% if they are connected to the room and accessory rooms;25% if not connected
Lofts Balconies
30%
Terraces
30%
Cellars
25-50%
max 25 sqm; excess 10% max 25 sqm; excess 10% 50% if they are connected to the room and accessory rooms;25% if not connected
Incidences of units
The results are reported in the following table.
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UNIT CODE
TYPE
PARTI COMUNI
disengagement
A01 A01/A91 A02
Bank
MAIN ROOM AND ACCESSORIES CADASTRAL m
ADUSTMENT
225,47
100%
COMMERCIAL m
225,47
440,3
100%
440,3
Commercial
85,4
100%
85,4
Bathroom
1,9
100%
1,9
BALCONY CADASTRAL m
ADUSTMENT
CELLAR COMMERCIAL m
Apartment
202,41
100%
202,41
A12
Apartment
153,56
100%
153,56
ADUSTMENT
COMMERCIAL m
225,47 20,76
25%
5,19
247,3
25%
61,825
507,32
124,96
Storage A11
CADASTRAL m
TOTAL COMMERCIAL M
8,83
17,94
25%
4,49
209,54
9,28
25%
2,32
155,88
5,27
25%
1,32
6,29
25%
1,57
6,74
25%
1,69
99,47
117,10
100%
117,10
A14
Apartment
97,78
100%
97,78
A21
Apartment
117,10
100%
117,10
15,27
30%
4,581
9,91
25%
2,48
124,16
A22
Apartment
207,85
100%
207,85
10,21
30%
3,063
7,58
25%
1,57
212,49
A23
Office
246,01
100%
246,01
50,33
30%-10%
10,033
16,73
0,25
4,18
260,23
A31
Office
230,42
100%
230,42
10,82
30%
3,246
10,22
25%
2,56
236,22
A32
Apartment
223,58
100%
223,58
13,79
30%
4,137
12,68
25%
3,17
230,89
A33
Apartment
117,11
100%
117,11
5,31
30%
1,593
A41
Apartment
208,21
100%
208,21
A42
Office
246,08
100%
246,08
9,08
30%
A51
Apartment
246,10
100%
246,10
64,92
A61
Apartment
117,15
100%
117,15
A62
Apartment
92,76
100%
92,76
183,68
25%
45,92
Cellar
2,601
37,66
Apartment
Balcony
30%
2,649
25%
A13
SOTTOTETTO
8,67
30%
150,63
122,59
6,00
25%
1,50
120,20
11,77
25%
2,94
211,15
2,724
8,04
25%
2,01
250,81
30% + 10%
11,492
7,29
25%
1,82
259,41
3,13
30%
0,939
8,65
25%
2,16
120,25
2,8
30%
0,84
5,27
25%
1,32
94,92
38,03
30% + 10%
8,803
56,22 6
25%
1,5
Cadastral areas, adjustments and commercial areas (Source: Tecnoborsa)
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2. EVALUATION PROCESS
2.1. Market approach The market approach is based on the estimation of the value of the property through a comparison with recent transaction relative to similar properties from the type, building techniques, maintenance, position and production points of view. The market approach should be used as the primary basis for a valuation when: (a) the asset has recently been sold in a transaction appropriate for consideration under the basis of value, (b) the asset or substantially similar assets are actively publicly traded, and (c) there are frequent or recent observable transactions in substantially similar assets. The key steps are:
The main points of comparison can be divided into three main categories: - similarities related to physical sense - similarities related to the legal point of view - Economic and financial similarities
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For the appraisal of building units located in P.le Oberdan 4 square, will be used the multi-parameters process, by comparing them to other building units located around the city of Milan based on more than one parameter. The latter can be qualitative or quantitative: the qualitative parameters describe different aspects such as state of preservation, interior finishing, view, etc., whereas those quantities may be economic such as expenses or incomes or technical such as surface or volume. The market values obtained by the synthetic comparative approach will be given by the following proportion: !comparable : (p1 % + p2% + p3% + … + pn%) = Vx : (p1x% + p2x% + … + pnx%) In which: (p1 % + p2% + p3% + … + pn%) = sum of parameters of similar asset (p1x% + p2x% + … + pnx%) = sum of parameters of asset to be estimated The synthetic process will be given by applying the following formula: !x = !c + !c ∗ (p1 % + p2% + p3% + … + pn%)
In which: 'x = Unit market value compared expressed in €/m2 that will be multiplied by the commercial area to be estimated; 'c = Unit market value of similar asset (comparable) expressed in €/m2 'c ∗ (p1 % + p2% + p3% + … + pn% = Unit market value of similar asset (comparable) adjusted by the percentages assigned to different parameters. It is expressed in €/m2. For direct sources, consideration of multiple publicly-traded comparable is preferred to the use of a single comparable. Evidence from very similar publicly-traded comparable (for example market segment, geographic area,) provides a better indication of value than comparable that require significant adjustments. Professional should make adjustments for any material difference between the guideline publiclytraded comparable and the subject asset. Examples of common differences that could warrant adjustments may include, but are not limited to: §
material physical characteristics (age, size, specifications, etc.), 13
§
relevant restrictions on either the subject asset or the comparable assets,
§
geographical location of the underlying company and the related economic and regulatory environments,
§
profitability or profit-making capability of the assets,
§
historical and expected growth,
§
differences related to marketability and control characteristics of the comparable and the subject asset.
In practice, unfortunately, it’s difficult to establish a right weight of each comparison feature but in this context of shortage and heterogeneity of data, this process is able to improve the reliability of the appraisal. The process that has just been explained, will be detailed step by step in the next pages but before it we have considered necessary to give an overview of the whole appraisal by means of a methodological diagram (following page). The appraisal starts from the collection of the average values per square meter provided by indirect sources as Borsino Immobiliare, Immobiliare.it, Agenzia delle Entrate and Il Sole 24 Ore. It is a preliminary research of the most probable market value of the building units to be evaluated but given that there are usually many mismatches between sources, the expert has to interpret this data by processing and checking it with data acquired directly by real estate agents who operate in the area where the building units are located. After having identified, on the real estate market, four comparable per each building units on the basis of some parameters that will be explained within the paragraph 3.1.2 “Direct sources data”, some adjustments, expressed in percentage, will be applied on the transaction price in order to correct and bring them onto the same level of building units subject to estimation. Finally, the average between indirect and direct data will give us the most probable market value per square meter that will have to be multiplied by commercial area in order to get the most probable market value of each building unit expressed in Euros.
2.1.1. Indirect sources data for the calculation of market values The appraisal process begins from the consultation of indirect sources with the aim to collect information. In practice, since it’s not possible for the expert to be able to get directly an enough wide amount of data in order to be reliable, he has to lean on quotations made available by intermediaries. Therefore, the expert has to direct his research to some real estate values published by: § §
Agenzia delle Entrate; Estate agency Immobiliare.it 14
§ §
Borsino Immobiliare; Il Sole 24 Ore;
These quotations consider the localisation, the age of the building and its state of preservation, as shown in the following tables regarding both to residential and offices. The first step is to obtain the average unitary values of residential units by identifying information from Agenzia delle Entrate, Immobiliare.it, Borsino Immobiliare and Il sole 24 Ore.
Source1- Agenzia delle Entrate
Agenzia delle Entrate’s residential quotations – 1 Sem. 2017
Source2 – Immobiliare.it
Immobiliare.it residential quotations – Ott. 2017
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Source3- Borsino Immobiliare
Borsino Immobiliare’s residential quotations – Nov. 2017
Source4- Il Sole 24 Ore
Il Sole 24 Ore’s residential quotations
All the information has been collected into a table as a result of providing an average unitary value. As we can clearly see in the following table, the average unitary values are different between them and it’s possible to detect two different blocks of pricing: on one side Agenzia delle Entrate and
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Immobiliare.it that provide high quotations between 6200 €/m2 and 5317 €/m2 and on the other side Borsino Immobiliare and Il Sole 24 Ore with lower quotation between 3791 €/m2 and 4200 €/m2. The average unitary value between various sources accounts for 4934 €/m2.
Sources
Year
Agenzia delle
Sem. 2 -
Entrate
2017
Borsino immobiliare Immobiliare.it
Nov. 2017 n.a
Zone
Semicentrale/Pisani, Buenos Aires, Regina Giovanna; fascia OMI: C12
n.a
Civil Residence
Regina Giovanna, Pisacane,
Civil
Castel Morrone
Residence
Indipendenza, Loreto, Porta
Civil
Venezia
Residence
Il Sole 24 Ore (Ufficio Studi
Type
Buenos Aires, Venezia
Tecnocasa) Average
State of preservation
Market Value
Average
(€/m^2)
unitary
Min
Max
value (€/m^2)
Excellent
5300
6200
5750
Excellent
3791
5146
4468
n.d.
Civil
Signorile
Residence
Usato
5317
4200
4933,75
Summary of residential’s quotation
The second step is to repeat the same procedure in order to obtain the average unitary values of office units, however this time by detecting information only from Agenzia delle Entrate and Borsino Immobiliare.
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Agenzia delle Entrate’s office quotation – 1 Sem. 2017
Borsino Immobiliare’s office quotation – Nov. 2017
All information has been collected into a table as a result of providing an average unitary value. The sources of office quotations detected are only two: Agenzia delle Entrate and Borsino Immobiliare. It’s important to highlight that the market value per square meter of one is significantly higher than the market value of another.
Sources
Year
Zone
Type
State of preservation
Market Value
Average
(€/m^2)
unitary
Min
Max
value (€/m^2)
Semicentrale/Pisani, Agenzia delle
Sem. 2 -
Buenos Aires, Regina
Entrate
2017
Giovanna; fascia OMI:
Office Excellent
2750
3800
3275
Office Excellent
2798
3069
2933,5
C12 Borsino
Nov.
Regina Giovanna,
immobiliare
2017
Pisacane, Castel Morrone
Average
3104,25
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The third step is to repeat the same procedure in order to obtain the average unitary values of shop units, also this time by detecting information only from Agenzia delle Entrate and Borsino Immobiliare.
Agenzia delle Entrate’s shop quotation –Nov. 2017
Borsino Immobiliare’s shop quotation
Sources
Year
Zone
Type
State of preservation
Agenzia delle Entrate
Sem. 2 2017
Semicentrale/Pisani, Buenos Aires, Regina Giovanna; fascia OMI: C12
Shop
Excellent
Borsino immobiliare
Nov. 2017
Regina Giovanna, Pisacane, Castel Morrone
Shop
Excellent
Average
Market Value (€/m^2) Min
5800
5055
Max
Average unitary value (€/m^2)
8200
7000
7312
6183,5
6591,75
However, the consultation of these sources is not enough because, as seen before, the quotations rarely match each other. 2.1.2. Direct sources data for the calculation of market values The task is to interpret this data by processing and checking it with data acquired directly by real estate agents who operate in the area where the building units are located. Interpretations of real estate pricing and direct information make the appraisal subjective but for the shortage of a homogenous and systematic database about market values, the professionalism of each expert has to make up the
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lack of it and makes the appraisal reliable. In addition, there are other issues to assess specific buildings that generally do not have much data. In these cases, the expert will have to broaden the multi-parameters procedure in order to make up the lack of information. After the step of collecting of indirect data, the second step concerns the identification of parameters needed to select similar comparable building units placed on the market. These parameters are: §
Localization (within 500 meters);
§
Commercial area;
§
Number of rooms.
As it has been said before, the research of comparable building units is within about 500 meters and precisely between the two rings as shown in the following image. That’s because prices per square meter are almost the same.
Localisation for comparable within 500m.
The following tables will show the comparable apartments and offices selected. For each comparable will be provided a brief description, the source, the localization, the function, the commercial area, the Market Value and the Net Market Value, both total and for square meter. Net Market Value is the result of the subtraction from the Market Value of the cost of transaction (14% of the price), in order to get the most probable paid price. First, it has been considered the type-apartment (unit A11), then we identified on the real estate market four comparable apartments based on the parameters explained before, but some adjustments,
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expressed in percentage, had been applied on the transaction price in order to correct it and bring the comparable onto the same level of the building unit, subject of the estimation. In other words, the unitary market value of each comparable building unit has to be corrected since the building unit subject to estimation shows some differences from them. For a right application of weightings, the expert has to detect the building units’ features that could influence the ordinary value. In this regard, are considered extrinsic and intrinsic features. Extrinsic features depend on external factors of the asset, because they are due to the relationships between itself and the environment, whereas intrinsic features depend on internal factors of the asset that determine the structure, the function and the comfort of itself. After the comparison between the type-apartment with four other apartments on the market, it was obtained the Market Value and the Net Market Value of it, both total and per square meter. The next step is to assume the type apartment as reference and to compare all the other units of the building with it, by making adjustments on the price according to the different features. In other words, it is repeated the same process before, but this time the comparison is between the building’s units, not between units on the market. With regards to the offices, the type-office considered was the unit A23. Moreover, it was used the same procedure descripted above: identifying four comparable offices on the real estate market, correcting their transaction prices according to the different features and finally assuming the typeoffice as reference and comparing it with the other offices of the building, also this time by making adjustments on the price according to the different features. For the appraisal of market value of offices and apartments, it has been selected the following extrinsic and intrinsic features. The extrinsic features are: proximity to public transport and availability of facilities, whereas the intrinsic features are: age of building, state of preservation, energy class, view, interior finishing, presence of elevator, floor, number of rooms, of bathroom, of balconies, presence of garage and cellar. In the following table, all features are summarized.
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FEATURES Extrinsic Proximity to public transportation Availability of services
Intrinsic Age of building State of preservation Energetic class View Interior finishing Elevator Floor Rooms Bathrooms Balconies Garage Cellar
All these features have been ordered on a scale of values by giving different percentages base on subjective considerations. The most weighted features are: energetic class, state of preservation and proximity of public transport. The other weights assigned to the features are reported in the following table. In addition, it has been defined seven classes of assessment (from seriously deficient to excellent) needed to assign a percentage to each feature of each comparable as a result of bringing them onto the same level of building units subject to estimation.
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FEATURES Proximity to public transport Availability of services Age of building State of preservation Elevator Energetic class View Interior finishing Floor Rooms Bathrooms Balconies Garage Cellar Showcase
Seriously Deficient
Deficient
Insufficient
Sufficient
Good
Great
Excelent
5,00% 4,00% 5,00% 7,00% 4,00% 7,50% 2,50% 2,00% 3,00% 4,50% 4,00% 2,00% 6,00% 3,50% 4,50%
3,00% 2,40% 3,00% 4,20% 2,40% 4,50% 1,50% 1,20% 1,80% 2,70% 2,40% 1,20% 3,60% 2,10% 2,70%
1,00% 0,80% 1,00% 1,40% 0,80% 1,50% 0,50% 0,40% 0,60% 0,90% 0,80% 0,40% 1,20% 0,70% 0,90%
0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00%
-1,00% -0,80% 1,00% -1,40% -0,80% -1,50% -0,50% -0,40% -0,60% -0,90% -0,80% -0,40% -1,20% -0,70% -0,90%
-3,00% -2,40% 3,00% -4,20% 2,40% -4,50% -1,50% -1,20% -1,80% -2,70% -2,40% -1,20% -3,60% -2,10% -2,70%
-5,00% -4,00% 5,00% -7,00% 4,00% -7,50% -2,50% -2,00% -3,00% -4,50% -4,00% -2,00% -6,00% -3,50% -4,50%
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2.1.3. Determination of market values As it has been reported in the previous pages, the market values obtained by the synthetic comparative approach will be given by the following proportion: !comparable : (p1 % + p2% + p3% + … + pn%) = Vx : (p1x% + p2x% + … + pnx%) In which: (p1 % + p2% + p3% + … + pn%) = sum of parameters of similar asset (p1x% + p2x% + … + pnx%) = sum of parameters of asset to be estimated The synthetic process will be given by applying the following formula: !x = !c + !c ∗ (p1 % + p2% + p3% + … + pn%)
In which: 'x = Unit market value compared expressed in €/m2 that will be multiplied by the commercial area to be estimated; 'c = Unit market value of similar asset (comparable) expressed in €/m2 'c ∗ (p1 % + p2% + p3% + … + pn% = Unit market value of similar asset (comparable) adjusted by the percentages assigned to different parameters. It is expressed in €/m2. By means of Excel spreadsheet, it has been possible to evaluate the most probable market value adjusted and expressed in Euros per square meter for each building unit subject to evaluation. The latter will be multiplied by the commercial area in order to obtain the most probable market value expressed in Euros. In the following tables will be illustrated the most probable market value of the apartments, offices and shop.
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Entity References
Description
DATA Extrinsic Value
w
2 Features
3 w
Features
w
4 Features
w
Apartment: entrance, living room, separate Kitchen, 4 Five-rooms flat inside a period building of Four-rooms flat inside a building of 1930. Five-rooms flat inside a building of 1950. It's Four-rooms flat inside a building of 1800. bedrooms, 2 bathrooms, 1800. It is located at 1st Floor. It is located at 1st Floor. located at 2nd Floor. Located at 6th Floor. catchall, balcony. immobiliare.it via Morgagni Apartment 215 1.230.000 5.720 1.057.800 4.920
P.le Oberdan 4 Apartment 209,54
immobiliare.it via Pancaldo 9 Apartment 228 1.100.000 4.825 946.000 4.149
immobiliare.it viale Majno Apartment 220 1.850.000 8.409 1.591.000 7.232
immobiliare.it viale Piave Apartment 200 1.300.000 6.500 1.118.000 5.590
Proximity to public transportation
Excelent
Great
2,0%
Excelent
0,0%
Good
4,0%
Good
4,0%
Services
Excelent
Excelent
0,0%
Excelent
0,0%
Excelent
0,0%
Excelent
0,0%
Age of building State of preservation Energetic class View Interior finishing Elevator Floor Rooms Bathrooms Balconies Garage Cellar Total Adjustement coefficient Most probable Net Market value (€) Most probable Net Market value (€/m²) Average of most probable Net Market value (€/m²) Most probable Net Market value of the apartment
Intrinsic
FEATURES
A11
Source Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²)
Comparables 1 Features
1900 Good G Great Good Yes 1 5 2 1 0 1
1800
Deficient Good Sufficient Good Great Sufficient Sufficient Insufficient Sufficient Great Sufficient Sufficient
3,0% 1930 Sufficient 0,0% 1950 Good -1,0% 1800 Deficient 3,0% 0,0% Good 0,0% Excelent -5,6% Great -2,8% G 0,0% E Good -1,5% G Sufficient 0,0% G Sufficient 0,0% 1,0% Sufficient 1,5% Great 0,0% Great 0,0% -0,8% Sufficient 0,4% Excelent -1,6% Great -0,8% Yes 0,0% Yes Sufficient 0,0% Yes Sufficient 0,0% Yes Sufficient 0,0% 1 0,0% 1 Sufficient 0,0% 2 Good -0,6% 6 Excelent -3,0% 3+1 0,9% 5 Sufficient 0,0% 5 Sufficient 0,0% 4 Insufficient 0,9% 2 0,0% 2 Sufficient 0,0% 4 Great -2,4% 3 Good -0,8% 3 -2,0% 2 Good -0,4% 3 Great -2,0% 0 Insufficient 0,4% 0 0,0% 0 Sufficient 0,0% 1 Good -1,2% 0 Sufficient 0,0% 1 0,0% 1 Sufficient 0,0% 1 Sufficient 0,0% 0 Insufficient 0,7% 4,1% 0,0% -10,4% 1,6% 1.101.170 946.000 1.425.536 1.135.888 5.122 4.149 6.480 5.679 5.358 1.122.612
25
Entity References
DATA
Description
Most probable Net Market value (€/m²) Net Market Value of the apartment
Value
FEATURES
Intrinsic
Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²) View Interior finishing Elevator Floor Rooms Bathrooms Balconies Total Adjustement coefficient
Comparables
A11
A12
w
A13
w
A14
w
A21
w
Apartment: entrance, living room, separate Kitchen, 4 Apartment: entrance, Kitchen, living room, Apartment: entrance, Kitchen, living room, Apartment: entrance, Kitchen, living room, 2 Apartment: entrance, Kitchen, living room, bedrooms, 2 bathrooms, 3 bedrooms, 2 bathrooms. 3 bedrooms, 1 bathroom. bedrooms, 1 bathroom. 2 bedrooms, 1 bathroom. catchall, balcony. P.le Oberdan 4 Apartment 209,54 1.279.778 6.108 1.122.612 5.358 Great Good Yes 1 5 2 1
P.le Oberdan 4 Apartment 155,88
Yes 1 4 2 0
Good Good Sufficient Sufficient Insufficient Sufficient Insufficient
Via Mascagni Apartment 122,59
-1,0% 0,0% 0,0% 0,0% -0,9% 0,0% -0,4% -2,3%
5.234 815.920
No 1 4 1 1
Good Sufficient Deficient Sufficient Insufficient Insufficient Sufficient
Via Mascagni Apartment 99,47
-1,0% -0,4% -2,4% 0,0% -0,9% -0,8% 0,0% -5,5%
5.063 620.654
No 1 3 1 0
Good Good Deficient Sufficient Deficient Insufficient Insufficient
Via Mascagni Apartment 124,16
-1,0% 0,0% -2,4% 0,0% -2,7% -0,8% -0,4% -7,3%
4.966 494.009
No 2 3 1 1
Good Sufficient Deficient Good Deficient Insufficient Sufficient
-1,0% -0,4% -2,4% 0,6% -2,7% -0,8% 0,0% -6,7%
5.716 709.756
26
Entity References
DATA
Description
Value
FEATURES
Intrinsic
Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²) View Interior finishing Elevator Floor Rooms Bathrooms Balconies Total Adjustement coefficient Most probable Net Market value (€/m²) Net Market Value of the apartment
A11
Comparables A22
w
A32
w
A33
w
A41
w
Apartment: entrance, living Apartment: entrance, kitchen, living room, room, separate Kitchen, 4 Apartment: entrance, kitchen, living room, Apartment: entrance, Kitchen, living room, 3 Apartment: entrance, Kitchen, living room, 2 bedrooms. 2 bathrooms, 2 offices, bedrooms, 2 bathrooms, 4 bedrooms, 3 bathrooms, office. bedrooms, 1 bathroom. 4 bedrooms, 2 bathrooms, 2 offices. laundry room. catchall, balcony. P.le Oberdan 4 Apartment 209,54 1.279.778 6.108 1.122.612 5.358 Great Good Yes 1 5 2 1
P.le Oberdan 4 Apartment 212,49
P.le Oberdan 4 Apartment 230,89
Via Mascagni Apartment 120,20
P.le Oberdan 4 Apartment 211,15
Good Good Sufficient Good Good Good Insufficient
Excelent Good Sufficient Good Good Sufficient Great
Good Sufficient Deficient Good Insufficient Insufficient Sufficient
Good Great Sufficient Great Great Sufficient Insufficient
-1,0% 0,0% Yes 0,0% 2 0,6% 6 0,9% 3 0,8% 0 -0,4% 0,9% 5.406 1.148.663
1,0% 0,0% Yes 0,0% 3 0,6% 5 0,9% 2 0,0% 2 1,2% 3,7% 5.556 1.282.764
-1,0% -0,4% No -2,4% 3 0,6% 4 -0,9% 1 -0,8% 1 0,0% -4,9% 5.095 612.418
-1,0% 0,8% Yes 0,0% 4 1,8% 7 2,7% 2 0,0% 0 -0,4% 3,9% 5.566 1.175.356
27
Entity References
DATA
Description
Value
FEATURES
Intrinsic
Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²) View Interior finishing Elevator Floor Rooms Bathrooms Balconies Total Adjustement coefficient Most probable Net Market value (€/m²) Net Market Value of the apartment
A11
Comparables A51
w
A52 - UNITÀ SOTTOTETTO
w
A61
w
Apartment: entrance, living Apartment: entrance, kitchen, living room, room, separate Kitchen, 4 Apartment: entrance, kitchen, living room, Apartment: Kitchen, living room, 3 bedrooms, 3 bedrooms, 3 bathrooms, 1 office, bedrooms, 2 bathrooms, 2 bedrooms. 2 bathrooms, 1 balcony. 1 bathroom. laundry room. catchall, balcony. P.le Oberdan 4 Apartment 211,24 1.279.778 6.108 1.122.612 5.358 Great Good Yes 1 5 2 1
P.le Oberdan 4 Apartment 259,41
Excelent Great Sufficient Great Sufficient Good Great
1,0% 0,8% Yes 0,0% 5 1,8% 5 0,0% 3 0,8% 1 (very big) 1,2% 5,6% 5.658 1.467.619
P.le Oberdan 4 Apartment 170,48 *Total area minus not abitable area.
Excelent Great Sufficient Great Deficient Sufficient Great
1,0% 0,8% Yes 0,0% 5 1,8% 3 -2,7% 2 0,0% 1 (big) 1,2% 2,1% 5.470 932.528
P.le Oberdan 4 Apartment 120,25
Excelent Great Sufficient Excelent Insufficient Insufficient Sufficient
1,0% 0,8% Yes 0,0% 6 3,0% 4 -0,8% 1 -0,8% 1 0,0% 3,2% 5.529 664.856
APPARTAMENTO
Apartment: living room, 1 bedroom, 1 bathroom.
P.le Oberdan 4 Apartment 94,92
Excelent Great Sufficient Excelent Seriously Deficient Insufficient Sufficient
1,0% 0,8% Yes 0,0% 6 3,0% 2 -4,5% 1 -0,8% 1 0,0% -0,5% 5.331 505.992
*We assumed unit A52 as renovated.
w
28
Entity References
Description
Office: entrance, conference room, 8 offices, 1 bathrooms, catchall,3 balconies, terrace.
DATA Extrinsic Value
w
2 Features
3 w
Features
w
4 Features
w
Office: entrance,2 conference rooms, 8 rooms, 2 bathrooms, catchall, balcony.
Office: entrance, ceonference room, 7 rooms, 4 bathrooms.
Office: entrance, 7 rooms, archive, 3 bathrooms.
Office: entrance, conference room, 9 rooms, 3 bathrooms.
immobiliare.it Piazza Fratelli Bandiera Office 270 1.050.000 3.889 903.000 3.344
immobiliare.it via Vitruvio Office 300 1.100.000 3.667 946.000 3.153
immobiliare.it corso di Porta Nuova Office 250 900.000 3.600 774.000 3.096
immobiliare.it via Pochielli Office 290 850.000 2.931 731.000 2.521
P.le Oberdan 4 Office 260,23
Proximity to public transportation
Excelent
Good
4,0%
Excelent
0,0%
Good
4,0%
Good
4,0%
Services
Excelent
Great
1,6%
Great
1,6%
Great
1,6%
Good
3,2%
Age of building State of preservation Energetic class View Interior finishing Floor Rooms Bathrooms Balconies Garage Cellar Total Adjustement coefficient Most probable Net Market value (€) Most probable Net Market value (€/m²) Average of most probable Net Market value (€/m²) Most probable Net Market value of the apartment
Intrinsic
FEATURES
A23
Source Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²)
Comparables 1 Features
1900 Great G Good Great 2 9 1 3+1 0 1
1970
Good Great Sufficient Good Great Insufficient Good Good Deficent Sufficient Insufficient
-1,0% 1920 Sufficient 0,0% 190 Sufficient 0,0% 1970 Good -1,0% 0,0% Good -2,8% Great 0,0% Great 0,0% G 0,0% E Good -1,5% G Sufficient 0,0% G Sufficient 0,0% 0,0% Good 0,0% Good 0,0% Good 0,0% 0,0% Good 0,8% Good 0,8% Good 0,8% 1 0,6% 4 Good -0,6% 1 Sufficient 0,0% 1 Sufficient 0,0% 10 -0,9% 8 Insufficient 0,9% 7 Deficient 2,7% 10 Good -0,9% 2 -0,8% 4 Great -2,4% 3 Good -0,8% 3 Good -0,8% 1 1,2% 0 Seriously deficent 2,0% 0 Seriously deficent 2,0% 0 Seriously deficent 2,0% 0 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 0 0,7% 0 Insufficient 0,7% 0 Insufficient 0,7% 0 Insufficient 0,7% 5,4% -1,3% 11,0% 8,0% 951.762 933.702 859.140 789.480 3.525 3.112 3.437 2.722 3.199 832.495
29
Entity References
Value
FEATURES
Intrinsic
DATA
Description
Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market Value (Market value-14%) (€) Net Market Value (€/m²) View Interior finishing Floor Rooms Bathrooms Balconies Cellar Total Adjustement coefficient Most probable Net Market value (€/m²) Net Market Value of the apartment
Comparables
A23 Office: entrance, conference room, 8 offices, 1 bathrooms, catchall,3 balconies, terrace. P.le Oberdan 4 Office 260,23 949.044 3.647 832.495 3.199 Good Great 2 9 1 3+1 1
A01
w
A31
w
A42
w
Office: entrance, 9 rooms, 2 bathrooms, deposit.
Office: entrance, conference room, 9 rooms, bathroom, balcony.
Office: entrance, conference room, 10 rooms, 4 bathrooms, 2 balconies.
via Marcello Malpighi Office 507,32
P.le Oberdan 4 Office 236,22
P.le Oberdan 4 Office 250,81
0 9 2 0 1
Good Good Insufficient Sufficient Good Deficient Sufficient
0,0% -0,8% -0,6% 0,0% 0,8% -1,2% 0,0% -1,8% 3.256,66 1.652.166,53
Good Sufficient Good Sufficient Sufficient Deficent Sufficient
0,0% -1,2% 3 0,6% 9 0,0% 1 0,0% 1 -1,2% 1 0,0% -1,8% 3.256,66 769.287,19
Great Good Great Good Great Insufficient Sufficient
1,0% -0,8% 4 1,8% 10 0,9% 4 2,4% 2 -0,4% 1 0,0% 4,9% 3.042,32 763.043,72
30
Entity References
Description
Shop: 5 showcases, deposit
DATA Extrinsic Value
P.le Oberdan 4 Shop 125
w
2 Features
3 w
Features
w
4 Features
Shop: 2 showcases
Shop: 2 showcases, deposit
Shop: 3 showcases, deposit
Shop: 2 showcases, deposit
immobiliare.it via Tadino 8 Shop 108 400.000 3.704 344.000 3.185
immobiliare.it viale Piave Shop 128 500.000 3.906 430.000 3.359
immobiliare.it via Pisacane Shop 110 488.000 4.436 419.680 3.815
immobiliare.it via Fabio Filzi Shop 120 449.000 3.742 386.140 3.218
w
Proximity to public transportation
Excelent
Great
2,0%
Great
2,0%
Good
4,0%
Great
2,0%
Services
Excelent
Great
1,6%
Great
1,6%
Good
3,2%
Great
1,6%
Age of building State of preservation Energetic class View Interior finishing Elevator Floor Rooms Bathrooms Balconies Storage Showcase Total Adjustement coefficient Most probable Net Market value (€) Most probable Net Market value (€/m²) Average of most probable Net Market value (€/m²) Most probable Net Market value of the apartment
Intrinsic
FEATURES
A02
Source Localization and Accessibility Function Commercial Area (m²) Market Value (€) Market Value (€/m²) Net Market value (Market value-14%) (€) Net Market value (€/m²)
Comparables 1 Features
1900 Good G Good Great No 0 1 1 0 1 5
1900
Sufficient Good Sufficient Sufficient Good Sufficient Sufficient Sufficient Sufficient Sufficient Insufficient Deficient
0,0% 1920 Sufficient 0,0% 1920 Sufficient 0,0% 1930 Sufficient 0,0% 0,0% Good 0,0% Good 0,0% Good 0,0% G 0,0% G Sufficient 0,0% C Great -4,5% E Good -1,5% 0,5% Good 0,0% Sufficient 0,5% Sufficient 0,5% 0,8% Good 0,8% Good 0,8% Good 0,8% No 0,0% No Sufficient 0,0% Yes Good -0,8% No Sufficient 0,0% 0 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 1 0,0% 1 Sufficient 0,0% 1 Sufficient 0,0% 1 Sufficient 0,0% 1 0,0% 1 Sufficient 0,0% 2 Sufficient 0,0% 1 Sufficient 0,0% 0 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 0 Sufficient 0,0% 0 -0,7% 1 Sufficient 0,0% 1 Sufficient 0,0% 1 Sufficient 0,0% 2 2,7% 2 Deficient 0,9% 3 Insuffucient 0,9% 2 Deficient 2,7% 6,9% 5,3% 4,1% 6,1% 367.736 452.790 436.887 409.695 3.405 3.537 3.972 3.414 3.582 447.756
31
The last step for the Market approach is to obtain the final value of each unit through the average between indirect and direct sources (€/m²) and finally multiply it for the commercial area of the unit.
Shop
Offices
Apartments
Entity A11 A12 A13 A14 A21 A22 A32 A33 A41 A51 A52 A61 Appartment A23 A01 A31 A42 A02
Commercial area 209,54 155,88 122,59 99,47 124,16 212,49 230,89 120,20 211,15 259,41 170,48 120,25 94,92 260,23 507,32 236,22 250,81
Net Market Value from DIRECT sources (€/m²) 5.358 5.234 5.063 4.966 5.716 5.406 5.556 5.095 5.566 5.658 5.470 5.529 5.331 3.199 3.257 3.257 3.042
125 3.582 Total
Net Market Value from INDIRECT sources (€/m²) 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 4.934 3.104 3.104 3.104 3.104
Average (€/m²)
Net Market Value (€)
5.146 5.084 4.998 4.950 5.325 5.170 5.245 5.014 5.250 5.296 5.202 5.231 5.132 3.152 3.180 3.180 3.073
1.078.241 792.516 612.757 492.397 661.181 1.098.544 1.210.988 602.742 1.108.585 1.373.774 886.838 629.085 487.164 820.124 1.613.444 751.257 770.779
6.592
5.087
635.878 15.626.294
32
2.2. Evaluation through the analytical method of capitalization of income The income capitalization approach is a method used to determine the market value of a building unit and it consists in accumulating to the current moment all the future incomes by using specific mathematics financial formula:
!m =
$ %&
In which: ' = Income for capitalization () = Capitalization rate The capitalization criteria are not a new and more rational method of appraisal but it’s only a comparative estimation that uses as parameter of comparison the income. In fact, if:
!m =
$ %&
and
%& =
$ !m
%& =
$ !m
by replacing Cp in the first formula we obtain:
!m =
$ $ !m
and so:
by putting I =p (parameter) we obtain the same proportion illustrated in the synthetic comparative approach: !comparable : p% = Vx : px% In this procedure, the capitalization rate has the greatest importance that represent the result of comparison with market. Therefore, even if we applied the same income and the same formula but an independent cap. rate, the value that will be obtained cannot be considered as a market cap. rate.
33
Therefore, the income value will be calculated, as it will be explained in the next paragraphs, by means of direct and indirect sources and at the end we’ll define the most probable market value of each building unit according to the formula of the income capitalization approach.
2.2.1. Indirect sources data for the calculation of market values As explained for the market approach the appraisal process begins from the consultation of indirect sources with the aim to collect information. In practice, since it’s not possible for the expert to be able to get directly an enough wide amount of data in order to be reliable, he has to lean on quotations made available by intermediaries. Therefore, the expert has to direct his research to some real estate values published by: §
Agenzia delle Entrate;
§
Estate agency Immobiliare.it
§
Borsino Immobiliare;
§
Il Sole 24 Ore;
These quotations consider the localisation, the age of the building and its state of preservation, as shown in the following tables regarding both to residential and offices. The first step is to obtain the average unitary values of residential units by identifying information from Agenzia delle Entrate, Immobiliare.it, Borsino Immobiliare and Il sole 24 Ore.
34
Source 1-Agenzia delle Entrate
Agenzia delle Entrate’s residential quotations – 1 Sem. 2017
Source2- Immobiliare.it
35
Borsino Immobiliare’s residential quotations – Nov. 2017
All the information has been collected into a table as a result of providing an average unitary value. As we can clearly see in the following table, the average unitary values are different between them and it’s possible to detect two different blocks of pricing: on one side Agenzia delle Entrate and Immobiliare.it that provide high quotations between 17,5 €/m2 and 19,5 €/m2 and on the other side Borsino Immobiliare with lower quotation between 11,7 €/m2 and 16,2 €/m2. The average unitary value between various sources accounts for 16,87 €/m2.
Sources
Year
Zone
Semicentrale/Pisani, Buenos Aires, Civil Regina Giovanna; Residence fascia OMI: C12
Agenzia delle Entrate
Sem. 2 2017
Borsino immobiliare
Regina Giovanna, Nov. 2017 Pisacane, Castel Morrone
Immobiliare.it
n.a
Average
Type
Indipendenza, Loreto, Porta Venezia
State of preservation
Rental Value (€/m^2) Min
Max
Average unitary value (€/m^2)
Excellent
17,5
19,5
18,5
Civil Residence
Excellent
11,7
16,2
13,95
Civil Residence
n.d.
18,16
16,87
Summary of residential’s quotation
36
The second step is to repeat the same procedure in order to obtain the average unitary values of office units, however this time by detecting information only from Agenzia delle Entrate and Borsino Immobiliare.
Agenzia delle Entrate’s office quotation – 1 Sem. 2017
Borsino Immobiliare’s office quotations – Nov. 2017
All information has been collected into a table as a result of providing an average unitary value. The sources of office quotations detected are only two: Agenzia delle Entrate and Borsino Immobiliare. It’s important to highlight that the market value per square meter of one is significantly higher than the market value of another.
Sources
Year
Average unitary value (€/m^2)
Type
Semicentrale/Pisani, Buenos Aires, Regina Giovanna; fascia OMI: C12
Offices
Excellent
9,9
11,7
10,8
Offices
Excellent
14,4
18,1
16,25
Agenzia delle Entrate
Borsino immobiliare
Regina Giovanna, Nov. 2017 Pisacane, Castel Morrone
Rental Value (€/m^2)
Zone
Sem. 2 2017
Average
State of preservation
Min
Max
13,525
37
The third step is to repeat the same procedure in order to obtain the average unitary values of shop units, also this time by detecting information only from Agenzia delle Entrate and Borsino Immobiliare.
Agenzia delle Entrate’s shop quotation – 1 Sem. 2017
Borsino Immobiliare’s shop quotation – Nov. 2017
Agenzia delle Entrate
Borsino immobiliare
Average unitary value (€/m^2)
Rental Value (€/m^2)
Type
State of preservation
Semicentrale/Pis ani, Buenos Sem. 2 - 2017 Aires, Regina Giovanna; fascia OMI: C12
Shops
Excellent
28
39
33,5
Regina Giovanna, Pisacane, Castel Morrone
Shops
Excellent
25,3
36,1
30,7
Sources
Year
Nov. 2017
Zone
Min
Max
Average
32,1
However, the consultation of these sources is not enough because, as seen before, the quotations rarely match each other.
2.2.2. Direct sources data for the calculation of incomes The task is to interpret this data by processing and checking it with data acquired directly by real estate agents who operate in the area where the building units are located. Interpretations of real estate pricing and direct information make the appraisal subjective but for the shortage of a homogenous and systematic database about rental values, the professionalism of each expert has to make up the lack of it and makes the appraisal reliable. In addition, there are other issues to assess specific buildings that generally do not have much data. In these cases, the expert will have to broaden the multi-parameters procedure in order to make up the lack of information. After the step of collecting
38
of indirect data, the second step concerns the identification of parameters needed to select similar comparable building units placed on the market. These parameters are: §
Localization (within 500 meters);
§
Commercial area;
§
Number of rooms.
As it has been said before, the research of comparable building units is within about 500 meters and precisely between the two rings as shown in the following image. That’s because prices per square meter are almost the same.
Image. Search radius The following tables will show the comparable apartments and offices selected. For each comparable will be provided a brief description, the source, the localization, the function, the commercial area, the Rental Value and the Net Rental Value, both total and for square meter. Net Rental Value is the result of the subtraction from the Rental Value of the cost of transaction (6% of the price), in order to get the most probable paid price. First, it has been considered the type-apartment (unit A11), then we identified on the real estate market four comparable apartments based on the parameters explained before, but some adjustments, expressed in percentage, had been applied on the transaction price in order to correct it and bring the comparable onto the same level of the building unit, subject of the estimation. In other words, the unitary market value of each comparable building unit has to be corrected since the building unit subject to estimation shows some differences from them.
39
For a right application of weightings, the expert has to detect the building units’ features that could influence the ordinary value. In this regard, are considered extrinsic and intrinsic features. Extrinsic features depend on external factors of the asset, because they are due to the relationships between itself and the environment, whereas intrinsic features depend on internal factors of the asset that determine the structure, the function and the comfort of itself. After the comparison between the type-apartment with four other apartments on the market, it was obtained the Rental Value and the Net Rental Value of it, both total and per square meter. The next step is to assume the type apartment as reference and to compare all the other units of the building with it, by making adjustments on the price according to the different features. In other words, it is repeated the same process before, but this time the comparison is between the building’s units, not between units on the market. With regards to the offices, the type-office considered was the unit A23. Moreover, it was used the same procedure descripted above: identifying four comparable offices on the real estate market, correcting their transaction prices according to the different features and finally assuming the typeoffice as reference and comparing it with the other offices of the building, also this time by making adjustments on the price according to the different features. For the appraisal of rental value of offices and apartments, it has been selected the following extrinsic and intrinsic features. The extrinsic features are: proximity to public transport and availability of facilities, whereas the intrinsic features are: age of building, state of preservation, energy class, view, interior finishing, presence of elevator, floor, number of rooms, of bathroom, of balconies, presence of garage and cellar. In the following table, all features are summarized. FEATURES Extrinsic Proximity to public transportation Availability of services
Intrinsic Age of building State of preservation Energetic class View Interior finishing Elevator Floor Rooms Bathrooms Balconies Garage Cellar
40
All these features have been ordered on a scale of values by giving different percentages base on subjective considerations. The most weighted features are: energetic class, state of preservation and proximity of public transport. The other weights assigned to the features are reported in the following table. In addition, it has been defined seven classes of assessment (from seriously deficient to excellent) needed to assign a percentage to each feature of each comparable as a result of bringing them onto the same level of building units subject to estimation.
FEATURES Proximity to public transport Availability of services Age of building State of preservation Elevator Energetic class View Interior finishing Floor Rooms Bathrooms Balconies Garage Cellar Showcase
Seriously Deficient
Deficient
Insufficient
Sufficient
Good
Great
Excelent
5,00% 4,00% 5,00% 7,00% 4,00% 7,50% 2,50% 2,00% 3,00% 4,50% 4,00% 2,00% 6,00% 3,50% 4,50%
3,00% 2,40% 3,00% 4,20% 2,40% 4,50% 1,50% 1,20% 1,80% 2,70% 2,40% 1,20% 3,60% 2,10% 2,70%
1,00% 0,80% 1,00% 1,40% 0,80% 1,50% 0,50% 0,40% 0,60% 0,90% 0,80% 0,40% 1,20% 0,70% 0,90%
0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00% 0,00%
-1,00% -0,80% 1,00% -1,40% -0,80% -1,50% -0,50% -0,40% -0,60% -0,90% -0,80% -0,40% -1,20% -0,70% -0,90%
-3,00% -2,40% 3,00% -4,20% 2,40% -4,50% -1,50% -1,20% -1,80% -2,70% -2,40% -1,20% -3,60% -2,10% -2,70%
-5,00% -4,00% 5,00% -7,00% 4,00% -7,50% -2,50% -2,00% -3,00% -4,50% -4,00% -2,00% -6,00% -3,50% -4,50%
By means of Excel spreadsheet, it has been possible to evaluate the most probable net rental value adjusted and expressed in Euros per square meter for each building unit subject to evaluation. The latter will be multiplied by the commercial area in order to obtain the most probable net rental value expressed in Euros. In the following tables will be illustrated the most probable net rental value of the apartments, offices and shop.
41
Entity References
Description
Value
Intrinsic
FEATURES
Extrinsic
DATA
Source Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental value per month (€/m²) **
w
3 w
Features
4 Features
w
w
Five+-rooms flat inside a stately building of 1930 overlooking the Palestro's garden. Excelen interior finishing and located at 3rd Floor.
Five-rooms flat inside a stately building of 1935. It is located at 5th of 6 Floors.
Six-rooms flat inside a building of 1**0, overlooking Piazza Duse. It's located at 3rd Floor.
Four-rooms flat inside a building of 1***. Located at 5th of 5 Floors.
P.le Oberdan 4 Apartment 209,54 / / / /
immobiliare.it via Tommaso Salvini 1 Apartment 240 5.400 23 5.076 21
immobiliare.it Piazza Eleonora Duse Apartment 200 3.300 17 3.102 16
immobiliare.it via Baretti 1 Apartment 220 5.000 23 4.700 21
immobiliare.it Piaazza Eleonora Duse Apartment 200 4.333 22 4.073 20
Excelent
Services
Excelent
Most probable net rental value adjusted per month (€) Most probable net rental value value adjusted per month (€/m²) Average of most probable net rental value per month (€/m²) Most probable net rental value per month of the apartment
2 Features
Apartment: entrance, living room, separate Kitchen, 4 bedrooms, 2 bathrooms, catchall, balcony.
Proximity to public transportation
Age of building State of preservation Energetic class View Interior finishing Floor Rooms Bathrooms Balconies Garage Cellar Total Adjustement coefficient
Comparables 1 Features
A11
1900 Great G Great Good 1 5 2 1 terrace 0 1
1930 F
3 6 3 2 0 1
Great
2,0%
Excelent
0,0%
Good Excelent Good Good Excelent Good Good Good Sufficient Sufficient Sufficient
0,0% -2,7% -1,5% 1,0% -1,6% -0,6% -0,9% -0,8% 0,0% 0,0% 0,0% -5,1%
1935 G
5 5 3 1 0 1
Excelent
0,0%
Great
2,0%
Excelent
0,0%
Great
2,0%
Good Good Sufficient Great Good Great Sufficient Good Insufficient Sufficient Sufficient
0,0% 2,8% 0,0% 0,0% 0,0% -1,8% 0,0% -0,8% 0,4% 0,0% 0,0% 0,6%
1*** E
3 6 4 2
0
Good Good Great Sufficient Good Good Great Sufficient Sufficient Sufficient
2,8% -1,5% 0,0% 0,4% -0,6% -0,9% -2,4% 0,0% 0,0% 0,0% 1,8%
D
5 4 3 1 terrace 0 1
Excelent
0,0%
Excelent
0,0%
Deficient Good Great Excelent Good Excelent Insufficient Good
Good Sufficient Sufficient
2,8% -4,5% -1,0% 0,0% -3,0% 0,9% -0,8% -0,4% 0,0% 0,0% -6,0%
4.817,12 3.120,61 4.784,60 3.828,64 20,07 15,60 21,75 19,14 19,14 4.010,90
42
Entity References
Value
FEATURES
Intrinsic
DATA
Description
Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental value per month (€/m²) View Interior finishing Floor Rooms Bathrooms Balconies Total Adjustement coefficient Most probable net rental value adjusted per month (€) Most probable net rental value (€/m²) Average of most probable net rental value (€/m²) Most probable net rental value of the apartment (€)
Comparables
A11
A12
w
A13
w
Apartment: entrance, living room, separate Kitchen, 4 Apartment: entrance, Kitchen, living room, 3 Apartment: entrance, Kitchen, living room, 3 bedrooms, 2 bathrooms, bedrooms, 2 bathrooms. bedrooms, 1 bathrooms. catchall, balcony. P.le Oberdan 4 Apartment 209,54 4.251,55 20,29 4.010,90 19,14 Great Good 1 5 2 1 terrace
P.le Oberdan 4 Apartment 155,88
1 4 2 0
Good Good Sufficient Insufficient Sufficient Insufficient
A14
0,0% -0,9% 0,0% -0,4% -2,3%
1 4 1 1 terrace
Good Sufficient Sufficient Insufficient Insufficient Sufficient
A21
P.le Oberdan 4 Apartment 99,46
-1,0% -0,4% 0,0% -0,9% -0,8% 0,0% -3,1%
w
Apartment: entrance, Kitchen, living room, 2 Apartment: entrance, Kitchen, living room, 2 bedrooms, 1 bathroom. bedrooms, 1 bathroom.
P.le Oberdan 4 Apartment 122,59
-1,0%
w
1 3 1 0
Good Good Sufficient Deficient Insufficient Insufficient
P.le Oberdan 4 Apartment 124,16
-1,0% 0,0% -2,7% -0,8% -0,4% -4,9%
2
Good Sufficient Good Deficient Insufficient Sufficient
-1,0% -0,4% 0,6% -2,7% -0,8% 0,0% -4,3%
2.915,14 2.273,81 1.810,52 2.274,41 18,70 18,55 18,20 18,32 18,44 3.864,50
43
valore negozio unico jack References
Intrinsic
FEATURES
DATA
Description
Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental value per month (€/m²) View Interior finishing Elevator Floor Rooms Bathrooms Balconies Total Adjustement coefficient
A11
A22
w
A32
w
Apartment: entrance, living Apartment: entrance, kitchen, living room, 2 room, separate Kitchen, 4 Apartment: entrance, kitchen, living room, 4 bedrooms. 2 bathrooms, 2 offices, laundry bedrooms, 2 bathrooms, bedrooms, 3 bathrooms, office. room. catchall, balcony. P.le Oberdan 4 Apartment 209,54 4.251,55 20,29 4.010,90 19,14 Great Good Yes 1 5
Yes 2 6
2
3
1
0
P.le Oberdan 4 Apartment 212,49 / / / / Good Good Sufficient Good Good
A33
2811,38 w
A41
w
Apartment: entrance, Kitchen, living room, 3 bedrooms, 1 bathroom.
Apartment: entrance, Kitchen, living room, 4 bedrooms, 2 bathrooms, 2 offices.
Via Mascagni Apartment 120,20 / / / / Good Sufficient Deficient Good Insufficient
-1,0% -0,4% -2,4% 0,6% -0,9%
Yes 4 7
P.le Oberdan 4 Apartment 211,15 / / / / Good Great Sufficient Great Great
P.le Oberdan 4 Apartment 230,89 / / / / Excelent Good Sufficient Good Good
1,0% 0,0% 0,0% 0,6% 0,9%
No 3 4
-1,0% 0,0% 0,0% 0,6% 0,9%
-1,0% 0,8% 0,0% 1,8% 2,7%
Yes 3 5
Good
0,8%
2
Sufficient
0,0%
1
Insufficient
-0,8%
2
Sufficient
0,0%
Insufficient
-0,4% 0,9%
2
Great
1,2% 3,7%
1
Sufficient
0,0% -4,9%
0
Insufficient
-0,4% 3,9%
Most probable net rental value adjusted per month (€)
4.103,97
4.583,09
2.188,06
4.199,34
Most probable net rental value value adjusted per month (€/m²)
19,31
19,85
18,20
19,89
Value
44
Entity References
DATA
Description
FEATURES
Intrinsic
Localization and Accessibility Function Commercial Area (m²)
Value
Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental value per month (€/m²) View Interior finishing Elevator Floor Rooms Bathrooms Balconies Total Adjustement coefficient Most probable net rental value adjusted per month (€) Most probable net rental value value adjusted per month (€/m²)
Comparables
A11
A51
w
A52 - UNITÀ SOTTOTETTO
w
A61
w
Apartment: entrance, living Apartment: entrance, kitchen, living room, 3 room, separate Kitchen, 4 Apartment: entrance, kitchen, living room, 2 Apartment: Kitchen, living room, 3 bedrooms, 1 bedrooms, 3 bathrooms, 1 office, laundry bedrooms, 2 bathrooms, bedrooms. 2 bathrooms, 1 balcony bathroom. room. catchall, balcony. P.le Oberdan 4 Apartment 209,54 4251,55 20,29 4010,90 19,14 Great Good Yes 1 5 2 1
P.le Oberdan 4 Apartment 259,41
1,0% 0,8% 0,0% 1,8% 0,0% 0,8% 1,2% 5,6%
*Total area minus not abitable area. / / / Excelent 1,0% Great 0,8% Yes Sufficient 0,0% 5 Great 1,8% 3 Deficient -2,7% 2 Sufficient 0,0% 1 (big) Great 1,2% 2,1%
5.243,55 20,21
3.331,76 19,54
Yes 5 5 3 1 (very big)
/ / / / Excelent Great Sufficient Great Sufficient Good Great
P.le Oberdan 4 Apartment 170,48
A62
Apartment: living room, 1 bedroom, 1 bathroom.
P.le Oberdan 4 Apartment 120,25
Yes 6 4 1 1
/ / / / Excelent Great Sufficient Excelent Insufficient Insufficient Sufficient
w
P.le Oberdan 4 Apartment 94,92
1,0% 0,8% 0,0% 3,0% -0,8% -0,8% 0,0% 3,2%
2.375,42 19,75
Yes 6 2 1 1
/ / / / Excelent Great Sufficient Excelent Seriously Deficient Insufficient Sufficient
1,0% 0,8% 0,0% 3,0% -4,5% -0,8% 0,0% -0,5%
1.807,82 19,05
45
Entity References
Description
Value
Intrinsic
FEATURES
Extrinsic
DATA
Source Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Rental transaction per month (€/m²)
Office: entrance, 8 rooms, 1conference room, 1 bathroom, 1 catchall, 3 balconies, 1 terrace.
2 Features
w
3 w
Features
Five-rooms office inside a period building of Three-rooms office inside a stately building of Nine-rooms office inside a building of 1960. It's 1920. It is located at 5th Floor. 1940. It is located at ground floor. located at 2nd Floor.
immobiliare.it Viale Majno Office 300 7.500 25 7.050 24
P.le Oberdan 4 Office 260,23
immobiliare.it via Lecco via San Gregorio Office 203 4.400 22 4.136 20
4 Features
w
w
Six-rooms flat inside a building of 1950 Located at top of 4 Floors.
immobiliare.it Corso Venezia 54 Office 270 6.600 24 6.204 23
immobiliare.it Viale Vittorio Veneto Office 200 3.500 18 3.290 16
Proximity to public transportation
Excelent
Excelent
0,0%
Excelent
0,0%
Excelent
0,0%
Great
2,0%
Services
Excelent
Excelent
0,0%
Excelent
0,0%
Excelent
0,0%
Great
1,6%
Age of building State of preservation Energetic class View Interior finishing Floor Rooms Bathrooms Balconies Garage Cellar Total Adjustement coefficient Most probable net rental value adjusted per month (€) Most probable net rental value adjusted per month (€/m²) Average of most probable net rental value per month (€/m²) Most probable rental value per month (€)
Comparables 1 Features
A23
1900 Great G Good Great 2 8+1 1 3+1 0 1
1920 D
5 4+1 2 2 0 0
Good Good Great Great Great Great Insuffient Good Insuffient Sufficient Insuffient
-1,0% 2,8% -4,5% -1,0% 0,0% -1,8% 0,9% -0,8% 0,4% 0,0% 0,7% -4,3%
6.746,85 22,49
1940 D
0 3 2 0 0 0
Great Good Great Insufficient Great Insuffient Deficient Good Deficient Sufficient Insuffient
-3,0% 2,8% -4,5% 1,0% 0,0% 0,6% 2,7% -0,8% 1,2% 0,0% 0,7% 0,7%
1960 D
2 9 2 0
0 2
4.164,95 20,52
Great Great Great Great Excellent Sufficient Sufficient Good Deficient Sufficient Good
-3,0% 0,0% -4,5% -1,0% -0,8% 0,0% 0,0% -0,8% 1,2% 0,0% -0,7% -9,6%
5.608,42 20,77
1950 G
4 6 2 2 0 0
Great Great Sufficient Excellent Sufficient Great Insuffient Good Insuffient Sufficient Insuffient
-3,0% 0,0% 0,0% -2,0% 0,0% -1,8% 0,9% -0,8% 0,4% 0,0% 0,7% -2,0%
3.224,20 16,12
19,97 5198,06
46
Entity References
Value
FEATURES
Intrinsic
DATA
Description
Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental per month (€/m²) View Interior finishing Floor Rooms Bathrooms Balconies Cellar Total Adjustement coefficient Most probable net rental value (€) Most probable net rental value (€/m²) Average of most probable net rental value (€/m²) Most probable net rental value of the office
Comparables
A23 Office: entrance, 8 rooms, 1conference room, 1 bathroom, 1 catchall, 3 balconies, 1 terrace. P.le Oberdan 4 Office 260,23 5529,85 21,25 5198,06 331,79 Good Great 2 8+1 1 3+1 1
A31
w
A42
w
A01
w
Office: entrance, 9 rooms, 1 bathroom, 1 catchall, 1 balcony.
Office: entrance, 10 rooms, 4 bathrooms, 1 catchall, 2 balconies.
Bank: entrance, 9 rooms, 2 bathrooms, deposit.
P.le Oberdan 4 Office 236,22
P.le Oberdan 4 Office 250,81
P.le Oberdan 4 Bank 507,32
3 9 1 1 1
Good Sufficient Good Sufficient Sufficient Deficient Sufficient
0,0% -1,2% 0,6% 0,0% 0,0% -1,2% 0,0% -1,8%
5.104,49 21,61
4 10 4 2 1
Great Good Great Good Great Insuficient Sufficient
1,0% -0,8% 1,8% 0,9% 2,4% -0,4% 0,0% 4,9%
5.452,76 21,74 18,37
0 9 2 0 1
Good Good Insufficient Sufficient Good Deficient Sufficient
0,0% -0,8% -0,6% 0,0% 0,8% -0,4% 0,0% -1,0%
5.146,08 10,14
47
Entity References
Description
DATA Extrinsic Intrinsic
FEATURES Value
Shop - 5 showcases - deposit
Source Localization and Accessibility Function Commercial Area (m²) Rental Value per month (€) Rental Value per month (€/m²) Net Rental value per month (Rental value per month*-6%) (€) Net Rental value per month (€/m²)
Excelent
Services
Excelent
Most probable net rental value adjusted per month of the apartment (€) Most probable net rental value of the apartment (€/m²) Average of most probable net rental value (€/m²) Most probable net rental value of the shop
1900 Good Great Excelent 2 1 0 1 5
w
3 w
Features
4 Features
w
w
Shop - 1 showcases - no deposit
Shop - 2 showcases - deposit
Shop - 1 showcases - deposit
immobiliare.it via Eustachi Shop 170 2.050 12 1.927 11
immobiliare.it Via Melzo Shop 15 705 47 606 40
immobiliare.it via Rosolino Pilo Shop 40 900 23 774 19
immobiliare.it Via Melzo Shop 50 650 13 559 11
1900
3 2 0 1 2
2 Features
Shop - 2 showcases -deposit
P.le Oberdan 4 Shop 125
Proximity to public transportation
Age of building State of preservation View Interior finishing Rooms Bathrooms Balconies Cellar Showcases Total Adjustement coefficient
Comparables 1 Features
A02
Great
2,0%
Great
1,6%
Sufficient Good Good Excelent Good Good Sufficient Sufficient
0,0% 0,0% 1,0% 0,0% -0,6% -0,8% 0,0% 0,0% 2,7% 4,3%
1920
1 1 0 0 1
Great
2,0%
Great
1,6%
Sufficient Good Good Good Insuffcient Sufficient Sufficient Deficient
0,0% 0,0% 1,0% 1,6% 0,9% 0,0% 0,0% 0,7% 4,5% 10,7%
1920
1 1 0 0 2
Great
2,0%
Great
1,6%
Sufficient Great Sufficient Sufficient Insuffcient Sufficient Sufficient Insuffcient
0,0% -3,0% 1,5% 2,0% 0,9% 0,0% 0,0% 0,7% 2,7% 8,4%
1930
1 1 0 1 1
Great
2,0%
Great
1,6%
Sufficient Good Good Sufficient Insufficient Sufficient Sufficient Insuffcient
0,0% 0,0% 1,0% 2,0% 0,9% 0,0% 0,0% 0,7% 4,5% 11,1%
2.010 671 839 621 12 45 21 12 22,49 2.811,38
48
3. Cap Rate
The procedures based on income, estimate the value of the property through the capitalization of its income at a certain rate of return. In these procedures, it is assumed that there is an equivalence between the market value of a property and the sum of its ordinary incomes discounted to the present. The market values obtained by the income capitalization approach will be given by the following proportion:
!m =
# $%
In which: & = Income for capitalization '( = Capitalization rate
The capitalization rate is the rate of return on a real estate investment property, based on the income that the property is expected to generate in the future. The capitalization rate is used to estimate the potential return on an investment. The capitalization rate of the investment can be calculated by dividing the investment’s net income by the current market value of the property. The formula for calculating the capitalization rate can be expressed in the following way:
Capitalization Rate = Net Operating Income / Current Market Value
49
First of all we calculated the Cap Rate, by using the average Rental Value and average Market Value from the indirect sources.
CAP RATE FROM INDIRECT SOURCES
Residential Average Market value (€/m²) Average Rental value per year (€/m²) Cap rate
4.933,75 202,44 4,10%
Office Average Market value (€/m²) Average Rental value per year (€/m²) Cap rate
3.104,25 162,24 5,23%
Shop Average Market value (€/m²) Average Rental value per year (€/m²) Cap rate
6.728,00 385,20 5,73%
50
Next we divided the Average Rental Value (resulting from indirect sources and the comparable) by the previous Cap Rate, in order to obtain the Net
Shop
Offices
Apartments
Market Value multiplying it by each unit’s commercial area.
Rental Value from Comparable (€/m²)
Average Rental Value (€/m²)
229,68 224,40 222,60 218,40 219,84 231,72 238,20 218,40 238,68 242,52 234,48 237,00 228,60 239,64 237,24 235,32 247,80
216,06 213,42 212,52 210,42 211,14 217,08 220,32 210,42 220,56 222,48 218,46 219,72 215,52 200,94 199,74 198,78 205,02
4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 4,10% 5,23% 5,23% 5,23% 5,23%
125 385,20 269,88
327,54
5,73%
5.716
Commercial area
A11 A12 A13 A14 A21 A22 A32 A33 A41 A51 A52 A61 A62 A23 A01 A31 A42
209,54 155,88 122,59 99,47 124,16 212,49 230,89 120,20 211,15 259,41 170,48 120,5 94,92 260,23 507,32 236,22 250,81
A02
Rental Value from Indirect sources (€/m²)
Net Market Value (€/m²) 5.270 5.205 5.183 5.132 5.150 5.295 5.374 5.132 5.380 5.426 5.328 5.359 5.257 3.842 3.819 3.801 3.920
Entity
202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 202,44 162,24 162,24 162,24 162,24
Cap Rate
51
4. Conclusion After all we compared the value from both Income approach and Market approach, finding an average between them in order to obtain the most probable final Market Value for each unit and the entire building.
4
A11 A12 A13 A14 A21 A22 A32 A33 A41 A51 A52 A61 A62 A23 A01 A31 A42
209,54 155,88 122,59 99,47 124,16 212,49 230,89 120,20 211,15 259,41 170,48 120,5 94,92 260,23 507,32 236,22 250,81
Net Market Value from Income approach (€/m²) € 5.270 1.104.225 5.205 811.412 5.183 635.435 5.132 510.499 5.150 639.394 5.295 1.125.057 5.374 1.240.724 5.132 616.890 5.380 1.135.884 5.426 1.407.647 5.328 908.367 5.359 645.762 5.257 498.955 3.842 999.821 3.819 1.937.516 3.801 897.817 3.920 983.194
A02
125
5.716 714.529
Shop
Offices
Apartments
Entity
Total
Commercial area
17.154.573
Net Market Value from Market approach (€/m²) € 5.146 1.078.241 5.084 792.516 4.998 612.757 4.950 492.397 5.325 661.181 5.170 1.098.544 5.245 1.210.988 5.014 602.742 5.250 1.108.585 5.296 1.373.774 5.202 886.838 5.221 629.085 5.132 487.164 3.152 820.124 3.180 1.613.444 3.180 751.257 3.073 770.779
Average (€/m²) 5.208 5.145 5.091 5.041 5.237 5.232 5.309 5.073 5.315 5.361 5.265 5.290 5.194 3.497 3.500 3.491 3.497
5.087
5.402
635.878
€ 1.091.233 801.964 624.096 501.448 650.287 1.111.800 1.225.856 609.816 1.122.235 1.390.711 897.603 637.424 493.059 909.972 1.775.480 824.537 876.987 675.203
15.626.294
16.390.433
52
53