Model
It is a model for quantifying potential reputational risk between economic sustainability and social responsibility associated with a portfolio of real estate assets.
Within the framework of this constant search for innovation and the creation of differential value for our clients, built on deep knowledge of the sector and the environment and with a database formed of nearly 50,000 cases managed, with knowledge of more than 15,000 families and more than 36,000 people, Sogeviso has created a model for quantifying the potential reputational risk associated with real estate assets, Sibila.
The Sibila model is an algorithm for risk assessment based on the analysis of more than 70 variables grouped according to concepts: Socio-economic situation, social context and level of conflict, real estate market, regulatory context…
Sibila offers the possibility of designing different lines of action facilitating decision making in balance between economic sustainability and social responsibility on the part of the owners of the properties.
Sibila Model
It is an algorithm for risk assessment based on the analysis of more than
70 variables grouped according to the concepts.
Socio-economic
vulnerability
Economic capacity of the family units according to their composition, the presence of groups of special vulnerability (minors, the over 65s, the disabled, victims of gender violence, etc.) and the source of the rent.
Real estate
market
Comparable with the rental market according to location, based on habitability needs (according to Decree 141/2012) and the debt capacity of the families.
Normative
context
Combination of the regulatory impact on housing with effects on both large homeowners and on the protection of tenants and/or mortgage holders, and budgetary dedication by the regional government in this area.
Social context
Based on the AROPE indicator, poverty risk according to geographical criteria: risk of economic poverty, severe material deprivation and low household work intensity.
Social actors
List of support from civil associations and/or City Councils according to environment and geographical location.