The demanding regulatory environment increasingly places challenging stipulations around the number of model runs required and the timeframe in which results are to be produced. Combined with the ever-increasing volume of data that most insurers wish to process this can drive the need for a scalable model solution.
Software Alliance’s Su Berry spends 5 minutes with Cornelius Franken of CJF Consulting to discuss his experience with Mo.net and the benefits it has brought to his actuarial modelling processes.
As part of Mo.net 7.6, we have extended the external interface to compiled Mo.net tasks so that it now accepts a Python list. This update allows a new array of inputs to be passed from Python to the compiled Mo.net task DLL without having to create an intermediate inputs file.
We sat down with Software Alliance’s founder Stephen Curle to learn about the company’s highs and lows in the early days, and his thoughts on the future of financial modelling.
One thing that I’m frequently asked is how client models can be better integrated with database or data warehouse environments. This article explores what else might be possible with Mo.net…
Lisa Accos at Hachshara provides an in depth review of how the Israeli insurer improved their model to meet the new IFRS 17 reporting requirements.
Following on from the Mo.net Loves Python series. this article outlines how to change the input data used by the Mo.net projection when being called from Python.
It was fantastic to finally visit Cape Town for the ASSA Convention after a 2 year delay. We set out with the aim to increase awareness of our brand, to make good on our promise from 2019 that we are committed to the region and to make sure our understanding of the regional needs was still current.
In the last article I demonstrated how to run a Python script with arguments from a Mo.net group projection task and return the results from the script back to Mo.net. In this third and final part of the Mo.net Loves Python series, I will reverse the scenario and use a Python script to call a Mo.net projection task.
Part two of our Mo.net Loves Python series. We look at how to run an existing Python-based Black Scholes model from a Mo.net group projection task, passing in arguments to define the vector size to use, and retrieving the completion message & run time from the Python script.