Summary
As fatigue grows over the sharp gains and drops of market-capitalization-weighted indexes that are concentrated in a handful of large-cap AI stocks, equal-weight ETFs—which assign the same weighting to every constituent stock—are gaining prominence as a means of diversification. With Nasdaq and KOSPI volatility expanding at the same time, this trend reflects demand to pursue both exposure to U.S. companies and exchange-rate gains while keeping volatility lower.
How It Unfolded
Recently, AI-related stocks have repeated extreme volatility—surging one day and plunging the next. With a small number of Big Tech names, including Nvidia, driving the rise of the leading U.S. indexes, market-capitalization-weighted indexes have effectively become a structure dictated by the price movements of just a few stocks.
As a result, even investing in an index ends up producing the effect of a concentrated bet on specific large-cap AI stocks. In a rising market it delivers powerful returns, but in a correction the downside is just as large. As in the case of a 51-year-old office worker, this is the backdrop for investors turning to equal-weight ETFs in hopes of investing in U.S. companies while keeping volatility lower—and even expecting foreign-exchange gains when the won weakens.
Equal-weight ETFs assign the same weighting to all constituent stocks and rebalance periodically. The result is that the weighting of a few mega-cap stocks falls while that of mid-cap stocks grows relatively larger, easing the impact that a single stock's sharp drop (plunge) has on overall performance.
Structural Background
Over the past several years, the U.S. stock market has seen intensifying concentration around a small number of Big Tech names. With a few stocks responsible for most of the index gains, an illusion has formed in which the index rises regardless of whether the broader market is healthy. Equal-weighting is drawing attention precisely because it structurally diversifies this concentration risk.
That said, the equal-weight strategy also has a clear limitation: in a bull market it cannot fully enjoy the explosive rise of large-cap growth stocks. Ultimately, the key is understanding that this is a trade-off between dampened volatility and upside momentum.
Impact on Stocks and Industry Sectors
- Equal-weight ETFs Products such as the Invesco S&P 500 Equal Weight ETF are expected to be direct beneficiaries of demand to ease concentration.
- Domestic asset managers Asset managers expanding their ETF lineups—such as Samsung Asset Management's KODEX and Mirae Asset's TIGER—stand to attract fund inflows.
- Large-cap AI stocks Names like Nvidia could face short-term effects from fund diversification as their weighting within equal-weight ETFs is reduced.
- Brokerages Firms with a large share of revenue from ETF trading and overseas stock brokerage fees, such as Mirae Asset Securities, could benefit from increased trading.
Bull vs. Bear Scenarios
In the bull scenario, prolonged AI volatility steadily increases demand for diversified products, and if won weakness persists, foreign-exchange gains add to the appeal, highlighting the attractiveness of equal-weight overseas ETFs. Conversely, in the bear scenario, if large-cap AI stocks recover a strong upward trend, the returns of the equal-weight strategy lag market-capitalization-weighted indexes, resulting in relative underperformance. And if the exchange rate turns toward won strength, expectations of foreign-exchange gains can turn into foreign-exchange losses.
Investor Action Points
- Even for index investing, check the actual constituent weightings to assess the degree of concentration in specific AI stocks.
- Understand the trade-off between dampened volatility and upside momentum, and set your allocation according to your own risk tolerance.
- For overseas ETFs, the direction of the exchange rate directly affects performance, so distinguish between currency-hedged and currency-exposed products when choosing.
- Compare basic ETF metrics such as total expense ratio, tracking error, and trading volume, then use phased buying to manage volatility.
This article is content automatically summarized and analyzed based on the original news report. View original (Maeil Business Newspaper, Securities)
