Building value with data.
A combination of domain expertise and technology
Kania combines fundamental knowledge of real assets investments with technological advances in data analysis and processing.
We focus on quantitative analysis of real estate markets, provide analytics, identify and test predictive characteristics of data and deploy ML processes to large data sets for superior information and insights.
ActivitiesAlternative Data
Alternative data can help to both uncover new insights, improve investment processes and decision making across your business.
We identify, test and produce specific data sets that offer improved insights or predictive characteristics.
Geolocation
Geolocation data and analytics to drive granular insights and assess location specific market and asset dynamics.
Nowcasting
Alternative and live data sets to monitor economic activity relevant to real estate markets
SaaS/Tech
We build technology and SaaS solutions based on custom and alternative data..
Listed Markets
Our listed markets activities focus on applying sector specific systematic factors to analyse global real estate companies and securities in a consistent way.
The performance of our listed alternative beta indices have generated consistent, repeatable and significant outperformance to benchmark.
Ahead of the curve
Logistics, valuing sectors in listed markets using ML
We illustrate how machine learning techniques can enhance valuation methodologies of sectors in listed real estate markets and how investors can incorporate changing market conditions when considering sector tilts or underwriting of individual stocks. Sector tilts are an important source of alpha for investors and predicting future performance prospects is a critical part of the investment process. We illustrate how ML and econometric models can be utilised for both spot valuations and to form data driven expectations about future performance.
Machine Learning
Processing geolocation data using ML
Machine learning techniques can be used to get accurate real estate market information. In this case we track new supply at a submarket geolocation over a period of time which provides accurate, specific and timely information about new construction activity, number of projects, size of projects, completion timelines and overall available stock supply. This allows us to monitor logistics assets at any location including markets where traditional estimates or coverage might be insufficient or unavailable. Further, machine learning techniques can process large volumes of data and provide valuable insights for investment decisions.
Award nominations
To discuss your requirements please get in touch at info@kaniaadvisors.com