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.
Our project calculation model GO can calculate projects in an easy, standardized way e.g. building or renovation projects, land and area exploitations. GO visualises the future costs and revenues of a project at various levels, from the real estate object to the entire portfolio.
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.
Daily appraisal of commercial real estate a new mixed frequency approach
We 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.
A Machine Learning Approach to Price Indices: Applications in Commercial Real Estate
This 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.
Ortec Finance 2021 Customer Satisfaction Survey shows very high scores
At 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!
Forecasting US Commercial Property Price Indexes Using Dynamic Factor Models
The 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.
Commonalities in Private Commercial Real Estate Market Liquidity and Price Index Returns
In 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.