Where to invest is often the question real estate investors struggle to answer, which is unfortunate since location can make all the difference on an investor’s returns. Solid investment properties can be found all across, and to help you easily assess these neighborhoods remotely and without familiarity to the area, we’ve developed the Landtern Investment Score (LIS).
The LIS evaluates a neighborhood based on a variety of economic, environmental, and demographical characteristics in relation to other neighborhoods locally and nationwide. The goal of the LIS is to help you quickly identify the ideal investment market that’s right for you and in line with your financial goals, without ever leaving your home.
To create the LIS, our data scientists completed, and continue to refine the model by accomplishing the following steps:
1. Collect Data – We gather specific data points about every neighbourhood via public and private data sources like Locality Growth, Payment Schedule, Delivery time etc
2. Examine the Data – The data collected is weighed using our proprietary algorithms and models to generate a unique scoring for each neighbourhood,project,Connectivity and Investment
3. Rank & Grade – All neighbourhood,project,Connectivity and Investment are then sorted into rankings, depending on their correlation to risk ,reward and the Investor requirements. To simplify our millions of data points, Landtern has developed an effective rating system. When looking at investments, all neighborhoods can be measured in a risk/reward scenario where the higher the risk the higher the reward.
All neighbourhoods,project,Connectivity and Investment with a score 10 generally offer the lowest risk exposure and highest appreciations but with the lowest yields. On the opposite side, All neighbourhood,project,Connectivity and Investment with lower scores come with the greatest risk that we do not recommend to our investors. In the middle All
neighbourhood,project,Connectivity and Investment that offer moderate risk exposure, a balance of yield and appreciation with mid-priced properties.