This paper examines what determines the correlation between prices and turnover in European housing markets. Using a panel vector autoregressive model, we find that there is a particulary strong feedback mechanism between prices and turnover.
Momentum effects are another important reason why prices and turnover are correlated. Common underlying factors, such as GDP and interest rates, also explain part of the price-turnover correlation.
The result in this paper impy that, to understand price and turnover dynamics, it is important to model prices and turnover als two interdependant processes. There is a considerable bias in the coefficient estimates of standard house price models if this dependency is not explicity taken into account.
09 May 2022Ortec Finance on tour to meet students this week
This week Ortec Finance visits Delft and Groningen to meet students and show our career opportunities on May 10, 11 and 12.Asset Management / Banks Retail and Private / Housing Associations / Independent Financial Advisors / Insurance Companies / Municipalities / Pension Funds / Sovereign Wealth Funds / Wealth Management / Asset Allocation / Asset Liability Management / Climate ESG Solutions / Economic Scenario Generator / Goal Based Planning / Performance Measurement and Attribution / Real Estate Management / Real Estate Valuation / Retirement Planning / Risk neutral scenarios / Strategic Risk Management / Vastgoedfinancien / Vastgoedsturing / Vastgoedwaardering / Wealth Planning and Monitoring
13 April 2022Daily 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.
13 April 2022A 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.
28 March 2022Microsoft publishes a client story about Ortec Finance
Microsoft describes on their website how Ortec Finance created a ‘batteries included’ cloud-native platform on Azure Red Hat OpenShift.
28 February 2022Ortec 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!Asset Management / Banks Retail and Private / Housing Associations / Independent Financial Advisors / Insurance Companies / Municipalities / Pension Funds / Sovereign Wealth Funds / Wealth Management / Asset Allocation / Asset Liability Management / Climate ESG Solutions / Economic Scenario Generator / Goal Based Planning / Performance Measurement and Attribution / Retirement Planning / Risk neutral scenarios / Strategic Risk Management / Wealth Planning and Monitoring / Vastgoedwaardering / Vastgoedfinancien / Vastgoedsturing
16 February 2022Baby Booms and Asset Booms: Demographic Change and the Housing Market
How 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.
08 February 2022Housing markets in a pandemic: Evidence from historical outbreaks
How 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.
01 February 2022Forecasting 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.
25 January 2022Commonalities 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.