Support for integral social, financial, and real estate operations
Housing associations will face serious challenges over the coming years. Social needs will remain the same, whereas the financial resources to redress these will be dramatically reduced. The challenge is to find the right balance between the social, financial, and real estate goals of your housing association.
Ortec Finance supports housing associations by promoting professionalism and facilitating improved decision making. Our services aim to increase your effectiveness, efficiency and transparency.
Optimize operational processes
From an independent perspective, we deliver high-quality and consistent solutions based on a combination of market knowledge, mathematical models and information technology. With these solutions, you can optimize your social, financial and real estate operational processes.
30 years supporting housing associations
Ortec Finance has been supporting housing associations for over 30 years with software, advisory services, and training. We excel in vision, expertise, knowledge of the market, high-quality service, and flexibility. In the Netherlands, 280 housing associations with around 2.1 million objects use our services.
Why housing associations choose Ortec Finance
- A perfectly integrated and complete solution for financial planning, real estate management, and real estate valuation
- Proven solutions (widely used, reliable, good performance, certified)
- Our customer-oriented and knowledgeable staff
- Continuous improvement of our solutions through ongoing research
- Financial forecasts as well as insight into financial risks
Discover our solutions for housing corporations
A few of our Delighted Customers
Contact
Frank Vermeij
Managing Director Real Estate Management
Maarten Fronik
Managing Director Real Estate Valuation
Pieter Postma
Business DeveloperRelated Insights
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09 May 2022Ortec Finance on tour to meet students this weekThis week Ortec Finance visits Delft and Groningen to meet students and show our career opportunities on May 10, 11 and 12.
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13 April 2022Daily appraisal of commercial real estate a new mixed frequency approachWe present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to 1 year, of daily (REIT) index returns.
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13 April 2022A Machine Learning Approach to Price Indices: Applications in Commercial Real EstateThis article presents a model agnostic methodology for producing property price indices. The motivation to develop this methodology is to include non-linear and non-parametric models, such as Machine Learning (ML), in the pool of algorithms to produce price indices.
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28 March 2022Microsoft publishes a client story about Ortec FinanceMicrosoft describes on their website how Ortec Finance created a ‘batteries included’ cloud-native platform on Azure Red Hat OpenShift.
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28 February 2022Ortec Finance 2021 Customer Satisfaction Survey shows very high scoresAt Ortec Finance, as part of the processes that we have in place to better understand what our clients think of us, our products, and our services, we conduct an annual customer satisfaction survey in the months of October and November. We are proud to announce that the survey shows very high scores for the fourth year in a row!
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16 February 2022Baby Booms and Asset Booms: Demographic Change and the Housing MarketHow do changes in the age structure of the population impact housing markets? This paper uses centuries of data to show that demographic changes are a key determinant of house prices.
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08 February 2022Housing markets in a pandemic: Evidence from historical outbreaksHow do pandemics affect urban housing markets? This paper studies historical outbreaks of the plague in 17th-century Amsterdam and cholera in 19th-century Paris to answer this question.
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01 February 2022Forecasting US Commercial Property Price Indexes Using Dynamic Factor ModelsThe general purpose of a dynamic factor model (DFM) is to summarize a large number of time series into a few common factors. In this paper Alex van de Minne, Marc Francke and David Geltner explore several DFMs on 80 granular, non-overlapping commercial property price indexes in the US, quarterly from 2001Q1 to 2017Q2.
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25 January 2022Commonalities in Private Commercial Real Estate Market Liquidity and Price Index ReturnsIn this paper Dorinth van Dijk and Marc Francke examine co-movements in private commercial real estate index returns and market liquidity in the US (apartment, office, retail) and for eighteen global cities, using data from Real Capital Analytics over the period 2005–2018.