Anticipate market trends before
official data is released

Optimize forecast accuracy by integrating the latest data points that are relevant to your main variable,
and get real-time insights

Nowcast
key economic indicators

By leveraging high-frequency data, our mixed-frequency models allow you to nowcast key economic indicators such as PMI, Consumer Confidence, and CPI in real-time, and give you up-to-the-minute insights. Ahead of your competitors.

20- 80%
accuracy improvement

Users have seen accuracy improvements of 20-80% compared to traditional forecasting models. With the implementation of the sparse-Group Lasso Midas models, you can expect precise forecasts that closely align with the actual values.

Efficient data utilization

The Midas model efficiently handles high-dimensional datasets, allowing us to incorporate a wide range of relevant financial variables. This ensures the most significant factors driving the main variable are captured, providing a complete view of the economic landscape.

Book a demo

$ 20 330k

$ 50 855k

$ 20 330k

$ 10 420k

$ 20 330k

$ 40 855k

$ 50 855k

Nowcast key economic indicators

20-80% accuracy improvement

Gain a competitive edge

Imagine having access to data that isn't available to others yet. With early access to relevant data, you have a strategic advantage over competitors. Identify emerging trends and market shifts before others do, and take proactive measures.

Efficient data utilization

Flexible modeling

Whether you're interested in short-term forecasts, mid-term projections, or a combination of both, we've got you covered. The flexible modeling technique is optimized to have a greater benefit over ridge regression.

Enhance nowcasting accuracy

The emergence of non-traditional data sources presents an opportunity to enhance nowcasting accuracy further. By leveraging hundreds of potentially useful non-traditional series, analysts can gain deeper insights into economic dynamics.

MIDAS models vs other statistical models when
handling high-frequency data

The advantage MIDAS models have over LSTM models like the GRU diff is apparent here.

In this scenario where the forecasted variable is composite steel prices in China, the out-of-sample results one step ahead, computed by the MIDAS Lasso org is 80% more accurate than the best-performing non-MIDAS model. (The GRU diff model)

MIDAS models vs other statistical models when
handling high-frequency data

Capture up-to-the-minute insights with synthesized data

MIDAS's intrinsic ability to handle mixed-frequency data (e.g., daily, weekly, monthly) means you can seamless incorporate all your data without needing to upsample or downsample, or cause any potential information loss.

When forecasting in Indicio, you can easily add in data with different frequencies and view the different levels of frequency available for each variable.

Book a demo
and see how it works

Gain a competitive edge by
accessing crucial economic information ahead of others,
and gain valuable insights into economic trends.

Book a demo and see how it works

Capture up-to-the-minute insights with synthesized data

How it works

Book a demo and see how it works

Gain a competitive edge by accessing crucial economic information ahead of others, and gain valuable insights into economic trends.

Anticipate market trends before official data is released

Over the past decade, the banking and financial services industry in Ghana has seen significant improvements in the quality of service delivery and the provision of superior financial products and packages.

Benefits here