Woonveste

Each year, CIO asks a varied group of respected chief investment officers and allocators which consultants and advisors have “done right by them” for the current markets.

For the third year in a row, the survey shows consistent high scores on satisfaction!

Ortec Finance has partnered with Dutch MLOps startup Cubonacci to enhance their portfolio of IT solutions with machine learning capabilities.

The Ortec Finance Customer Satisfaction Survey 2019, shows consistent high scores!

Increasing regulations on sustainability. Tenants who have become more critical. Limited financial resources. These are just a few examples of serious challenges that housing corporations will have to face in the coming years. Is it possible to find the right balance between social, financial and property objectives?

Maasdelta Groep is a medium-sized housing association with offices in Maassluis, Hellevoetsluis and Spijkenisse. Maasdelta has 175 employees and has 16,500 homes and business premises under its management. Over the next few years, Maasdelta aims to provide a wide range of sustainable and affordable housing.

Ortec Finance has become a signatory to the UN-supported Principles for Responsible Investment (PRI). By adding its name to a list of 2000 esteemed organisations around the world who have publicly demonstrated their commitment to responsible investment, the company formally reinforces and strengthens its position in sustainable investment.

Business cycles are one of the defining characteristics of realistic market behaviour (“stylized facts”) in asset prices, yield curves and volatilities, as well as in the broader macro-economic environment. It is therefore important to take business cycles into account when making investment decisions.

This paper concerns the estimation of granular property price indices incommercial real estate and residential markets. We specify and apply a repeat salesmodel with multiple stochastic log price trends having a hierarchical additive structure: One common log price trend and cluster specific log price trends in deviationfrom the common trend.