Partnering for a clearer future
Macrobond’s vast database of almost 300 million global economic, aggregate financial, and sector times series can now be used to help predict potential economic events.
Our partnership with Indicio, an automated forecasting platform, combines our breadth of data with Indicio’s advanced modelling tools, enabling you to build a wide range of sophisticated and statistically robust forecasts in just minutes.
Powered by the latest econometric, AI and machine-learning models, Indicio can help you detect trend shifts up to two months earlier, with a guaranteed 30%* improvement in forecast accuracy.
Users can access Macrobond's database directly from Indicio's platform through our API integration. Customers will need a Macrobond Data+ license and Indicio subscription purchased via Macrobond.
Indicio makes forecasting accessible to everyone. With just one hour of training, you can generate a vast range of forecasts and even test different scenarios that can affect your predictions without needing to code. Here are the features that make that possible:
Instead of relying solely on historical data, Indicio uses multivariate analysis to uncover more intricate relationships. Each indicator is defined as a function of the others so you can see how they interact.
Select indicators, transform data, build and backtest models, and perform model averaging in minutes. Spend your time gaining actual insights instead of building the statistical framework.
The accuracy of a forecast can be unintentionally affected by the bias of the forecaster. “Trust me” bias, over-fitting, anchor bias, etc. can all play a part, but statistical models are unaffected by subjectivity.
Check historical accuracy in just a few clicks. We’ve made it easy to back test and evaluate model performance. With Indicio, you can create previous forecasts and compare them against actual outcomes.
*Based on results of existing Indicio customers.
All written and electronic communication from Macrobond Financial AG is for information or marketing purposes and does not qualify as substantive research.
