As more drivers use smartphones to talk, text, and perform other functions while driving, concern over distracted driving and its contribution to climbing collision rates has increased. Using data collected by Zendrive, Milliman recently studied the impact of distracted driving and other driving behaviors on collision frequency. Consultant Sheri Scott provides some perspective in this article.
Milliman is carrying out a series of policyholder behaviour experience studies using predictive analytics. This blog post discusses the most recent US-based study looking at Guaranteed Lifetime Withdrawal Benefit (GLWB) utilisation, which, along with lapse, is a key driver of variable annuity (VA) business value.
The study was based on a data set containing around 2 million unique VA policies issued between 2003 and 2015 of seven large variable annuity writers based in the US. These policies represent roughly $220 billion of account value (based on initial purchase amounts) and cover a range of GLWB product designs as well as demographic attributes. This provides a rich data set with which to study policyholder behaviour.
A predictive model can be constructed with common variables such as age, tax-qualified status and single/joint status to allow easy implementation. The models constructed for our study use drivers that are readily available in a typical in-force data file, making them suitable for implementation in existing actuarial projection platforms. Including additional explanatory variables or interactions to the assumption formula is a natural step of predictive modelling because many variables can be captured in a single model without double-counting the individual variables’ effects. This framework allows iterative improvements to predictions and better differentiation of policyholder behaviour at a seriatim level.
The 2016 Milliman VALUES™ GLWB Utilisation study examined both when the policyholders chose to begin taking lifetime withdrawals, as well as how efficiently they continued to take them thereafter. We were able to confirm and, more importantly, quantify many intuitive assumptions about these behaviours and what drives them, and discovered new insights as well. For example, less than half of all policyholders currently taking GLWB withdrawals utilise their GLWB benefit with 100% efficiency (i.e., taking precisely the maximum allowed withdrawal amount). This is interesting as we believe many companies price on a basis of 100% efficiency.
Join Milliman consultants on this webinar as they consider the implications of the recently published “Asia retirement income report.” The webinar will include a 20-minute presentation led by Wade Matterson, practice leader for Milliman’s Australia office, and Richard Holloway, managing director for Milliman’s South East Asia and India Life consulting practice. A 20-minute Q&A session will follow.
Date: Wednesday, 23 August
Time: 11 a.m. India time
12:30 p.m. Thailand/Indonesia time
1:30 p.m. Singapore/Hong Kong/Taiwan/Malaysia time
3:30 p.m. Sydney time
To confirm your participation, RSVP before 16 August. Registered participants will receive a link to the webinar and local/toll-free numbers for most countries in the Asia-Pacific region a few days prior to the webinar.
Milliman has announced the findings of its study on reported year-end 2016 embedded value (EV) results for 34 major insurance companies operating in Asia, excluding Japan. The report highlights trends among companies reporting EVs and reveals a growth in reported 2016 EV of 15.3% by Asian insurance companies. This was primarily driven by a 40% growth over 2015 in value of new business (VNB) across the region in 2016.
The Milliman 2016 Embedded Value Results: Asia (excl. Japan) report analyses and discusses the EV methodologies and assumptions with the impact of regulations, as well as recent developments in the long-awaited International Financial Reporting Standard (IFRS) 17 reporting regime.
‘The China and Hong Kong markets were the main drivers of the VNB explosion in the region; both having mainland consumers to thank for these results,’ said Milliman principal and consulting actuary Paul Sinnott. ‘Although we have some longer-term concerns about the sustainability of profit margins in the region, recent yield curve rises are relieving some margin pressure in the short term.’
A few key insights from the Asian report include:
• In 2016, total reported Asian EV grew by 15.3%, on a comparable basis, to USD 339 billion from USD 294 billion.
• While some European multinationals reduced their Asian EV reporting last year, there were three companies disclosing EV results for the first time in India, along with the first comprehensive Indian Embedded Value (IEV) disclosure associated with ICICI Prudential’s initial public offering (IPO) in September 2016.
• Life insurance sales continued to rise strongly in the region during 2016. Gross written premium (GWP) is estimated to have increased by 28%, with China’s 43% growth being a major contributor.
• Value of in-force (VIF) increased for all markets. South Korea recorded the largest VIF growth of 31%, mainly from margin-driven growth in VNB across all companies; Hong Kong also posted strong VIF growth of 20%, driven by large volumes of business sold to mainland Chinese visitors.
To download the report, click here.
Milliman has announced the availability of a new report detailing embedded value (EV) results for 19 major insurance companies in Europe. The report examines trends among the companies reporting EVs as of year-end 2016, comparing practices adopted and discussing reporting issues following the implementation of Solvency II in Europe and the move toward the global adoption of International Financial Reporting Standards (IFRS).
“The future of embedded value reporting in Europe remains uncertain—although there has been increased alignment between EV and Solvency II reporting, we have continued to witness a gradual reduction in the number of firms reporting on an EV basis,” said Philip Simpson, a principal and consulting actuary in Milliman’s London office. “And with Solvency II disclosures via the SFCR lacking information around new business or analysis of change, for example, there is potentially a void appearing in the level of granularity of financial information reported.”
The release of the final IFRS 17 standard in May 2017 could signal an alternative reference point for Market Consistent Embedded Value (MCEV). And with substantial disclosure requirements involved, this may allow a sufficient amount of information to be obtained about the profitability of the business. However, the preparation of accounts under IFRS 17 gives rise to a different interpretation and timing of profit and loss compared with an EV basis, which will need to be considered. Ultimately time will tell whether companies use Solvency II or IFRS 17 as the reference point for MCEV.
Key insights from the European report include:
• There has been an ongoing, though moderate, reduction in firms reporting on an embedded value basis in 2016 compared with 2015.
• An amendment to the European Insurance CFO Forum Market Consistent Embedded Value Principles© (the MCEV Principles) was issued in May 2016, which permits the use of the projection methods and assumptions for market-consistent solvency regimes (e.g., Solvency II) in EV reporting. In light of this, during 2016 companies continued to change their approaches, with a continued trend to align EV and Solvency II reporting.
• The CFO Forum members (that disclosed their embedded values at the end of 2016) reported a combined embedded value of GBP 263 billion (EUR 308 billion) at the end of 2016 compared with GBP 246 billion (EUR 288 billion) at the end of 2015. Experience amongst the companies studied was mixed, with around half of companies experiencing an increase in embedded value compared with 2015.
• Overall, results for new business were fairly positive for the majority of companies in the report. The total value of new business (VNB) written by the current CFO Forum members (that disclosed their values of new business at the end of 2016) was GBP 11.3 billion (EUR 13.3 billion) in 2016, compared like-for-like with GBP 10.1 billion (EUR 11.9 billion) in 2015.
To download the report, click here.
A range of factors interact to influence lapse behaviour as it relates to long-term insurance. Yet this is not typically taken into account directly when setting assumptions. This report by Neil Cantle and Jennifer Smith sets out the methodology and results of Milliman’s research investigation into the use of advanced systems mining techniques to determine how lapse experience for long-term insurance business might change according to the prevailing dynamics within the business and because of uncontrollable external factors.