When the market experiences a sudden drop, investors often open their trading apps and encounter a puzzling situation: the index may have fallen less than 2%, but their ETF's market price has dropped nearly 3%. Alternatively, when trying to cut losses by selling, their sell orders take too long to fill, forcing them to accept a lower price. This is not an illusion, nor is it a sign that a specific ETF is broken; rather, it is the ETF undergoing a liquidity squeeze. In simpler terms, too many sellers are present, too few buyers are willing to step in, and the price discovery mechanism temporarily fails.
What is the "Liquidity Risk" of an ETF?
Liquidity, in plain language, is the ability to quickly convert an asset into cash at a fair price. An asset with good liquidity means that when you want to sell, you can find a buyer quickly at a price close to the market's fair value, resulting in low transaction costs and high execution efficiency. Conversely, an asset with poor liquidity is the opposite: buyers are hard to find, transactions take time, and when you want to buy, no one is selling, or when you want to sell, no one is buying, leading to low execution efficiency. More critically, during periods of violent market volatility, you may face the inability to sell at a reasonable price or even be unable to sell at all.
We know that ETFs have a dual trading mechanism: they can be bought and sold on the secondary market like stocks, and they can also be created or redeemed through the primary market. Under normal market conditions, the arbitrage mechanism between these two markets ensures that the ETF's trading price closely tracks its indicative net asset value (iNAV). However, during extreme market downturns, this mechanism can temporarily fail. A market decline triggers a flood of stop-loss orders, with a large volume of sell orders pushing the ETF's market price down, leading to a widening discount. As the discount widens, potential arbitrageurs become hesitant to step in due to a lack of liquidity in the underlying stocks. The absence of arbitrage means the discount cannot be quickly repaired, further fueling panic among holders and triggering more selling. This negative feedback loop, which occurs in extreme market conditions, is the essence of liquidity risk.
Why is the Technology Sector More Prone to Liquidity Risk?
Technology sector ETFs are a high-risk area for liquidity issues due to three structural characteristics.
Characteristic One: Severe Liquidity Stratification in the Underlying Assets. The technology sector exhibits a pronounced "head effect" — a few large-cap leaders account for the vast majority of the sector's trading volume, while many small and mid-cap components have very limited daily trading. When systemic selling pressure hits, the small and mid-cap components can instantly lose all buy-side support, potentially hitting their daily limit or approaching it. At this point, even if the ETF's creation/redemption mechanism is still operational, market makers and arbitrageurs find it difficult to hedge risk by selling these illiquid individual stocks, effectively blocking the arbitrage channel.
Characteristic Two: Homogeneous Portfolio Structures Worsen Crowded Trades. The technology sector's structural bull market over the past two years has attracted a massive influx of capital, resulting in highly overlapping positions in core tech stocks among active funds, passive ETFs, and margin traders. This portfolio structure means that once collective rebalancing or stop-losses are triggered, capital exits in a highly synchronized manner, easily leading to a "many kill many" stampede. As an efficient tool, ETFs can, during a downturn, act as an amplifier, transmitting selling pressure down to the underlying assets.
Characteristic Three: The Leverage Effect of Margin Trading and Derivatives. The technology sector has historically been a key area for margin financing. At the same time, the presence of derivatives like stock index futures and options makes the market prone to a negative feedback loop during declines: "futures discount widening — hedging rebalancing — increased spot selling pressure — further futures discounting." Forced liquidation of leveraged positions, which are sold without regard for price, often represents the main source of selling pressure during the market's most panicked phase.
How to Quickly Assess an ETF's Liquidity?
You can assess an ETF's liquidity by examining three key indicators: average daily trading volume, bid-ask spread, and order book depth. This provides a basic understanding of the ETF's liquidity situation, allowing for horizontal comparisons between different products to identify those with lower transaction costs.
How Can Investors Use Trading Strategies to Manage ETF Liquidity Risk?
While the underlying logic of the AI industry chain has not been disproven, and the long-term value of the technology sector remains clear, investors facing the recent collective adjustment can mitigate the impact costs of extreme market conditions and reduce liquidity risk through sensible trading arrangements and position management.
Strategy One: "Core-Satellite Plus Grid Trading" — Using Volatility Instead of Fearing It. This strategy is suitable for investors who are confident in the long-term trend of technology but do not want to bear significant volatility. In practice, you first set a core position for long-term holding to capture the sector's long-term growth. Then, you reserve some cash or low-risk assets as flexible capital. When the ETF price falls by a certain percentage, you buy a unit; when it rises by a corresponding percentage, you sell a unit. This mechanical form of buying low and selling high essentially uses short-term market fluctuations to continuously lower your average cost, making it particularly effective in a range-bound market. It is important to set the grid's spacing and position size based on the target's historical volatility and your own capital. Too narrow a spacing leads to frequent trading and higher fees, while too wide a spacing may result in missed trading opportunities or premature depletion of capital.
Strategy Two: Diversify — Don't Put All Your Eggs in One Basket. You can adopt a "barbell" portfolio structure: on one end, allocate offensive technology ETFs to capture growth returns; on the other end, allocate defensive assets like dividend ETFs, bond ETFs, or money market funds to smooth the portfolio's overall volatility. The proportion of each end can be adjusted dynamically based on market conditions, for example, increasing the tech weight when valuations are low and raising the defensive portion when valuations are high or volatility increases. Furthermore, within the technology sector, you can further diversify across sub-sectors such as semiconductors, AI, new energy, and software to prevent a single "black swan" event in one area from causing excessive damage to your portfolio.
Strategy Three: Be Cautious About Chasing Rallies, Especially at the Peak of "Crowded Trades." When the media and the market are fervently discussing a "main theme" in technology and capital is highly concentrated in a few sub-sectors, this is often a signal of accumulating risk. Entering at this point means not only bearing the pressure of high valuations falling back but also facing the risk of liquidity drying up when the market turns. Therefore, during periods of extreme euphoria, you should exercise restraint, prioritize reviewing your own holding costs and position levels, and avoid being swept up by the market's hype. A better approach is to gradually build or add to positions when the market is quiet and volume is low, and to consider taking profits in stages when sentiment is high.
Risk disclaimer: Funds carry risk, and investment requires caution. The above content is for investor education purposes only and does not constitute investment advice. Investors should make prudent decisions based on their own investment objectives, time horizon, experience, financial situation, and risk tolerance. MACD golden cross signal forms, these stocks are looking good!
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