- ESG Rebase
By Charlie Howell, Michael Leitschkis, Russell Ward | 26 July 2019
This paper introduces ESG Rebase, a technology capable of accurately translating a baseline risk-neutral Economic Scenario Generator file representing an entirely different set of market conditions, such as nominal yield curve, equity volatility vector or fixed interest volatility surface.
- Undeniable Synergy: A case for the chief modeling officer
By Van Beach | 23 July 2019
Understanding the business versus the operational skills and activities related to modeling holds the key to the new actuarial operating model.
- EIOPA thematic review: Big Data Analytics in insurance
By Matthew McIlvanna, Eamonn Phelan, Eoin O Baoighill | 08 July 2019
This briefing note summarises EIOPA’s recent report on its thematic review of the uses of big data analytics in motor and health insurance.
- IFRS 17: Where to from here?
By Andrew Kay, Eamon Comerford | 29 May 2019
This presentation, given at the Society of Actuaries in Ireland’s annual convention (24th May 2019), includes updates on the latest developments including recent amendments to the IFRS 17 Standard and timeline.
- Good practices in the application of predictive analytics
By Eamonn Phelan, Eileen S. Burns | 28 May 2019
This presentation given at the Society of Actuaries in Ireland’s Annual convention (24th May 2019) provides insight into current activity amongst life insurers in Ireland and leading practices in predictive analytics and data science from a US perspective.
- Predictive analytics: Validating the black box
By Eibhlín O’Kane, Eoin O Baoighill | 28 May 2019
“Reveal hidden patterns in your data” and “Transform your data into meaningful insights” are phrases we often hear when it comes to predictive modelling.
- Milliman Data Science Survey
By Eamonn Phelan, Karl Murray, Gillian Tucker, Eamon Comerford | 20 March 2019
Life and health insurers and reinsurers are taking a growing interest in data science.
- Using predictive modeling to forecast large workers’ compensation costs: A case study
By Michael Paczolt | 04 March 2019
Nodal™, Milliman’s web-based predictive modeling and decision-support system, accurately identified 95% of high-cost claims for the Intergovernmental Risk Management Agency before they happened, reducing costs by over 15%.
- Industry body part coding is wrong - Part 1: Multiple body parts
By Michael Paczolt, William Torres | 11 February 2019
Multiple body part claims can be translated into specific combinations of body parts by extracting data from unstructured data using text mining algorithms.
- Insurers, spreadsheets and model risk
By Stuart Reynolds, William Smith, Jennifer Strickland | 05 February 2019
Milliman surveyed 183 actuaries and insurance professionals from over 70 different companies to discover how spreadsheets are used by life insurers and reinsurers to identify potential improvements to this tool.