Business needs
Guiding area- and project development assignments in the right direction is one of the most complex tasks of a housing association. Based on investment volumes, run times, number of functions, and the complexity of co-operation and financing constructions, risks which the involved parties face have to be taken into account. Project calculations, feasibility studies, building costs analyses, justification of investment decisions and sensitivity analysis of a project or portfolio are examples of activities for which Ortec Finance can offer assistance.Property development is an important part of the integral financial and real estate platform. Property development projects are important for asset management in the transformation of the real estate portfolio. Clear insight into the planning and progress of projects is critical to good financial and treasury management.
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Key features GO
- Insight into risk and return
- Efficient, reliable and uniform project calculations
- Precise cash flow projections to lead to better financing
- Optimisation projects due to quick, easy calculation alternatives
- Integration with project administration
- Part of platform for integral financial and real estate operation
For more information download our GO leaflet (in dutch) by filling out the form
Contact
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.