According to a report by Korean Economy dated October 27, 2024, NH Amundi Asset Management has expanded its “NH‑Amundi Global Aerospace Fund” operations. The fund’s total allocation—previously around ₩600 billion—has been increased to ₩6.5 trillion. Both the foreign‑exchange‑linked and domestic‑exchange‑linked funds now fall into the “high‑risk” category, underscoring the importance of volatility management.
The manager, Lee Won‑seok, explained that he has built an investment model based on data and pattern analysis and has established a systematic approach through back‑testing. “It’s not just about picking winners; the models I design are continuously validated,” he said, adding that if any issues arise, he will monitor closely and upgrade the model accordingly.
The performance of the fund is judged to have come from rigorous model testing and refinement rather than from choosing particular stocks. As of August 25–26, 2026, the foreign‑exchange‑linked portion generated ₩2,107 billion, the domestic‑exchange‑linked portion produced ₩3,945 billion, and the combined allocation totaled ₩6,052 billion. Though this differs from the previous ₩6.5 trillion setting, it still shares a common point with overseas equity‑based funds: investing in global aerospace.
Aerospace and defense themes are considered long‑term growth industries; fund performance is influenced by stock price volatility, exchange rates, market interest rates, and defense demand expectations. If a particular theme grows, capital may flow in that direction, potentially boosting performance; conversely, if policy changes occur, volatility may widen.
This strategy has attracted attention from overseas theme‑based fund managers, who also look to the domestic market. Korean Economy highlighted the attractiveness of investing in the aerospace and defense sector as part of Korea’s mid‑term growth plan. Thus, local investors need to understand both the enlarged size and the operational approach of the fund. Lee stresses that rather than picking specific markets or stocks, he focuses on building data‑based models and continuously matching performance, giving investors a clear point of reference.