28-January-2020
English
While much benefit can be expected from big data and AI, there are also a number of risks that require policy considerations. General guidance or regulation related to the use of big data and application of AI could eventually be developed by governments, and the insurance sector should be prepared to incorporate them in their specific context.
30-October-2019
English, PDF, 3,637kb
29 October 2019 - Pension assets have been growing over the last decade, reaching USD 44.1 trillion worldwide at the end of 2018, despite a decline relative to end-2017. This trend is attributable to positive real net returns over the long term, and to increased contributions paid as more people are being covered by a pension plan in a number of countries, especially in those with recent mandatory or auto-enrolment programmes
9-September-2019
English
31-May-2019
English, PDF, 1,301kb
31/05/2019 - Preliminary data for 2018 show that assets in pension funds amounted to USD 27.6 trillion in the OECD area, close to 4% lower than in 2017. Calculated in national currencies, pension fund assets declined in 12 out of 34 reporting OECD countries, including some of the largest pension markets: Japan (-1.1%), the Netherlands (-1.2%), Switzerland (-0.7%), the United Kingdom (-0.3%) and the United States (-5.0%).
20-March-2019
English
20-December-2018
English
3-December-2018
English
13-June-2018
English
30-May-2018
English, PDF, 5,623kb
Behavioural insights have the potential to enhance the effectiveness of financial literacy and investor education initiatives. This IOSCO/OECD report explores the extent to which they are being used, reviews the available literature and presents various approaches for policy makers and practitioners to consider when seeking to change financial behaviour.
22-March-2018
English, PDF, 1,484kb
This review of Lithuania by the OECD's Insurance and Private Pensions Committee and Working Party on Governmental Experts on Insurance examines Lithuania's position with respect to core principles related to insurance systems.