Samsung Life Insurance Revamps Retirement Pension ETF Trading System and Launches New Fund

Introduction of "ETF Accumulation" and "Batch Trading" Features
Launch of Retirement Pension Fund to Support ETF Management

Samsung Life Insurance announced on June 8 that it has revamped its trading system and launched a new fund to lower the entry barrier for retirement pension investments in Exchange-Traded Funds (ETFs) and to alleviate the burden of ETF management.

In this service update, Samsung Life Insurance focused on providing a more convenient trading environment for Defined Contribution (DC) and Individual Retirement Pension (IRP) subscribers by introducing features such as scheduled purchases, multiple product trading, and product information inquiries.

First, a new "ETF Accumulation" feature has been introduced for customers interested in long-term installment investing. By setting the desired purchase cycle—monthly, weekly, or daily—and a purchase period ranging from one to five years, customers can automatically make regular, split purchases of ETFs based on these parameters. It is also possible to set the priority order for each ETF.

An additional "Batch Trading" feature now allows users to trade multiple ETFs at once. Customers can select up to five ETFs on a single screen and simultaneously input trading amounts or quantities, significantly simplifying the portfolio adjustment process.

Furthermore, Samsung Life Insurance launched the retirement pension fund "Samsung Life ETF Automata (Equity Type)" on June 1 for subscribers who feel burdened by direct ETF investing. The "ETF Automata" fund utilizes quantitative models to identify leading sectors and themes in the market and invests in 15 representative ETFs as a performance-based product.

The portfolio is rebalanced every quarter to reflect market capital flows and momentum, thereby reducing the burden on customers to select and manage individual ETFs themselves, while providing investment opportunities aligned with current market trends.

This content was produced with the assistance of AI translation services.