Ben Johnson
Quantitative Analyst
Chicago, IL, US
Ben Johnson is an actuarial data scientist leading Milliman’s industry annuity policyholder behavior studies.
Experience
With nine years of consulting experience in the life and annuity sector, Ben combines his expertise in actuarial science and data science to analyze insurance experience using both predictive modeling techniques and traditional actuarial methods. Ben’s current team produces industry reports by examining surrender and lapse rates, mortality, and rider utilization across multiple product lines, including traditional life, variable annuities, and fixed indexed annuities. Notably, new studies on registered index-linked annuities and fixed deferred annuities are planned for 2025.
Education
- MS, Mathematics, Western Washington University
Publications
Read their latest work
Article
Milliman Fixed Indexed Annuity and Multi-Year Guaranteed Annuity lapse experience study
29 February 2024 - by Yan Fridman, Ben Johnson, Ricardo Trachtman, Nathan Wilbanks, Karthik Yadatore
We conducted a survey of 13 Fixed Indexed Annuity (FIA) and Multi-Year Guaranteed Annuity (MYGA) writers on several aspects of dynamic adjustments to base lapse rates due to differences between their current and perceived market or competitor crediting rates.
Article
指数連動型定額年金および複数年保証年金の解約失効率実績調査
29 February 2024 - by Yan Fridman, Ben Johnson, Ricardo Trachtman, Nathan Wilbanks, Karthik Yadatore
ミリマンは、指数連動型定額年金(Fixed Indexed Annuity、FIA)および複数年保証年金(Multi-Year Guaranteed Annuity、MYGA)の引受会社13社を対象に、現在の付与利率と、市場想定利率または競合他社の付与利率との違いによる基本の解約失効率の動的調整について、複数の側面から調査を実施しました。
Article
MIMSA III 2020: Study of mortality and lapse rates in level term life insurance
29 April 2020 - by Ken Qian, Ben Johnson, Jenny Jin
This report discusses findings from Milliman’s research on predicting lapse and mortality rates for 10-year and 15-year premium term insurance products from the Milliman Industry Study and Analysis data set.
Article
Milliman VALUES:2018年GLWB業界の解約失効調査(英語版のみ)
13 February 2019 - by Eileen S. Burns, Vincent Embser, Vincent Haupt, Jenny Jin, Ben Johnson, Matthias Kullowatz
2018年 Milliman VALUES最低保証生涯引出給付金(GLWB)業界の解約失効および利用調査は、変額年金引受大手8社の300万人の保険契約者のアカウントバリュー総額約$3500億を占め、様々なGLWBの商品設計に加えて幅広い契約者の特性をカバーしています。
Article
Milliman VALUES 2018 GLWB industry lapse study
13 February 2019 - by Eileen S. Burns, Vincent Embser, Vincent Haupt, Jenny Jin, Ben Johnson, Matthias Kullowatz
The 2018 Milliman VALUES Guaranteed Lifetime Withdrawal Benefit (GLWB) industry lapse and utilization studies included 3 million policyholders from eight large variable annuity writers, representing roughly $350 billion of account value and covering a range of GLWB product designs as well as demographic attributes.
Article
Milliman VALUES: 2018 GLWB industry utilization study
27 November 2018 - by Eileen S. Burns, Vincent Embser, Vincent Haupt, Jenny Jin, Ben Johnson, Matthias Kullowatz
The 2018 Milliman VALUES GLWB lapse and utilization studies included three million policyholders from eight large VA writers, representing roughly $350 billion of account value and covering a range of GLWB product designs as well as demographic attributes.
Article
ミリマンVALUES:2018年GLWB利用状況調査(英語版のみ)
27 November 2018 - by Eileen S. Burns, Vincent Embser, Vincent Haupt, Jenny Jin, Ben Johnson, Matthias Kullowatz
2018年ミリマンVALUES GLWB解約失効および利用状況調査では、大手VA引受会社8社のアカウントバリュー約$3500億を占める300万人の保険契約者と、母集団の属性に加えて各種GLWB商品設計をカバーしています。
Article
Milliman VALUES 2016: GLWB Utilization study
15 May 2017 - by Eileen S. Burns, Jenny Jin, Vincent Embser, Matthias Kullowatz, Ben Johnson, David Wang, Sam Nandi
Milliman recently completed its 2016 Milliman VALUES GLWB Utilization study, which included two million policyholders from seven large VA writers, representing roughly $220 billion of account value (based on initial purchase amounts) and covering a range of GLWB product designs as well as demographic attributes.
Article
2016年Milliman VALUES:GLWB利用調査(英語版のみ)
15 May 2017 - by Eileen S. Burns, Jenny Jin, Vincent Embser, Matthias Kullowatz, Ben Johnson, David Wang, Sam Nandi
ミリマンでは、プレディクティブ・アナリティクスを用いて変額年金に関する一連の保険契約者行動の実績調査を行いました。