SwissBorg to Launch QuizzBorg: Risk Assessment Survey

Assessing the risk tolerance of users is one of the most difficult tasks of a financial Robo Adviser. The standard way to do so is through a very formal questionnaire based on the self-assessment of the client using the service. However, in using this method we run into the question of how well would a user be able to assess their own risk tolerance if they have never invested or gone through an extensive testing process.

Aware of this issue, SwissBorg has decided to find a more reliable way of determining the investment profile that suits our users best. As the first step in this research, we are launching QuizzBorg, a survey aimed at determining which kind of investor is a respondent based on questions focusing on personality traits and the individuals’ decision-making processes when it comes to money.

You can register at https://survey.swissborg.com to take part in the study. The survey is tailored for our community; this means we have included questions allowing us to determine your knowledge blockchain technology, an important factor in assessing your risk tolerance.

This survey will allow us to gather data to be able to build the first version of our artificial intelligence model. But even with a more refined survey, the problem of accuracy remains; so how do we eliminate this human bias? Our research focuses on this problem and the answer itself is fairly simple: instead of asking you to explain what you don’t know, we will simply study your behavior towards risk through information that you have already created online. And nowadays, the easiest way to understand someone is through social media.

What you 👍 and what you follow can help us determine patterns to explain parts of your behavior, which is why we will focus on your social media accounts in order to offer a non-invasive, tailor-made, risk profiling service to make sure your investments are aligned with your expectations. To achieve this goal, we will try to study your personal interests through Facebook and your professional behavior through LinkedIn.

We are aware, however, that not all users have a Facebook or a LinkedIn account, which is why we are developing a small questionnaire whose purpose is to replace the information gathered from these social media accounts.

After collecting your answers and cross referencing them with your personal data, we will be able to build an initial artificial intelligence model that will be the basis of future works. In the first phase of the research, we will use supervised learning to train our classifier. As our tool will be based on reinforced learning, the model’s accuracy will improve with time and unsupervised training.

Members of the community are still able to register using this link https://survey.swissborg.com to take part in our research project. In order to thank you for taking the survey, SwissBorg will be distributing 500’000 CHSB tokens among the participants. The survey itself will be launched at the end of the week and registered participants will be notified by email as QuizzBorg is a registration-only service.