El Nino 3.4 series
The figure presents unobserved components for the El Nino3.4 sea temperature time series with the estimated trend component, the monthly seasonal component, and three cycle components.
El Nino 3.4 series
The figure presents the El Nino3.4 sea temperature time series and some diagnostic graphs. In clock-wise order: monthly time series plot, the sample autocorrelation function, the sample spectrum, and the yearly plots for each month

Turning data into actionable insights

At Nlitn we are passionate about forecasting and econometric analysis of time series. The company was founded by successful academics who developed some of the cutting edge data analysis methods. Our dynamic team still has outstanding contacts in the academic world and we are best positioned to create value for our clients based on the latest developments at the frontiers of knowledge. The two branches of the company are consultancy and software development. The company website can be found at Nlitn

Consultancy services

Through deep knowledge of econometric time series methodology, Nlitn consultancy works with clients to extract as much information as possible from their time series data sets. We refer to this as signal extraction and we use it to make time series forecasts as accurate as possible. Nlitn has expertise in many areas. Among them are finance, sports, and climatology. An example of a climatological time series can be found in the figure on the right where a sea temperature time series is decomposed into a trend component, a monthly seasonal component, and three cycle components.

Software development

With the publication in top statistical journals comes a wealth of coding experience. We know how to efficiently implement econometric routines in languages like Ox, C, Matlab, Python, and R. Especially regarding Ox we can call ourselves experts and we work closely with its developers to extend and improve this family of software packages further.