Understanding ETF trading volume and liquidity

By trading highly liquid ETFs, investors can be confident that they will be able to move in and out of positions quickly without worrying about liquidity risk. Additionally, a higher level of liquidity usually translates to tighter bid-ask spreads and lower trading costs, which can help to boost returns. Investors should also pay attention to liquidity risk; this is the risk that an ETF’s trading volume or price can suddenly drop, making it difficult for investors to buy or sell shares quickly.

These institutions make money from the difference in the bid/ask spread by selling at the bid price and buying at the ask price. ETFs with a lot of demand from individual investors and institutions attract more market makers due to the higher volumes, thereby increasing competition, tightening the spreads, and improving liquidity. The liquidity of these component stocks can depend on any number of factors, including the asset class, foreign market exposure, market capitalization, and market makers. The bid-ask spread https://www.xcritical.in/ is a crucial indicator of liquidity; this measure tells you the difference between what buyers are willing to pay for shares and the price that sellers are willing to accept. Generally, a lower spread means better liquidity, as investors can trade shares close to the current market rate. Investors should also look at the average daily trading volume of an ETF; this metric tells you how many shares are being actively traded every day and gives you an understanding of how easy it is to get in and out of the ETF.

Our empirical analysis shows that tracking errors of the in-kind type of ETFs are less sensitive to ETF illiquidity than other types of ETFs are. These results imply that ETF companies could choose the in-kind method strategically instead of the cash method when they are able to easily construct the assets of the index at the time of the fund inception. We employ ETF portfolio holding data to examine the extent to which ETF illiquidity affects ETF tracking errors owing to liquidity differences in underlying assets.

Liquidity risk, leverage and long-run IPO returns

This article explains ETF liquidity, how you can measure the liquidity of your ETFs, and why it is essential for you. The information and opinions herein are provided for informational purposes only and should not be relied upon as the basis for your investment decisions.

In contrast, the directional liquidity spillover from ETF to the underlying portfolio is 4.9% using the bid-ask spread and 28.49% using Amihud illiquidity. The different findings for bond and equity ETFs could be due to the fact that underlying bond markets have higher limits to arbitrage, as bonds are typically less liquid than equities. Accommodating intraday demand imbalances and conducting arbitrage is less risky for APs, when offsetting hedge trades are readily available. APs can then meet ETF selling pressures and simultaneously sell the underlying basket or correlated assets without assuming market or inventory risk. However, offsetting hedges are more difficult to locate and more costly to trade in less liquid underlying asset classes, such as bonds, which are often traded over the counter.

  • Investors should look at several factors when evaluating ETF liquidity, including bid-ask spread, average daily trading volume and market capitalisation.
  • However, the degree of arbitrage activity and the resulting strength of the information link depend on the accessibility of the underlying assets.
  • Hence, the debate has not been resolved and understanding the mechanism through which ETFs affect the underlying securities is crucial as they increasingly dominate the markets in which they invest.
  • We investigate the effect of exchange-traded fund (ETF) liquidity on ETF tracking errors, returns, and volatility in the US.

On the one hand, the open-ended nature of ETFs resembles traditional investment funds, while on the other hand the ability of investors to trade ETFs throughout the day is a feature of tradable securities such as equities. Unlike traditional open-ended investment funds, ETFs are not directly linked with end-investors. In the example, the AP will either receive cash or securities in exchange for the redeemed shares.[6] Liquidity in ETFs requires a smooth functioning of this chain of transactions, implying a crucial role for both market-makers and APs to ensure ETF market functioning. Perhaps the most common ETF misconception is that funds with low daily trading volumes or with small amounts of assets under management will be difficult or expensive to trade. Thanks to the ETF creation and redemption mechanism, small- or low-trading-volume ETFs are usually able to absorb large buy or sell orders while continuing to trade at prices that are typically close to the net asset value of their underlying securities.

As a result, APs can strategically wait for a tracking error (i.e., large arbitrage opportunity) to widen or increase the bid-ask spread to meet the additional required return on risk. This situation can cause investors to pay higher transaction costs and, thus, should lead to a case in which the elimination of the tracking error is delayed. In addition, ETFs are similar to closed-end funds (CEFs) in that they are traded on exchanges.4 Unlike CEFs, the total number of shares can be increased or decreased depending on market demand and supply. In other words, ETFs are designed to combine the creation and redemption process of open-end funds with the continuous trading of the CEFs. These characteristics form the crucial mechanism that enables the facilitation of arbitrage between the ETF and its underlying assets. We investigate the effect of exchange-traded fund (ETF) liquidity on ETF tracking errors, returns, and volatility in the US.

Results show that APs indeed exploit NAV spreads by creating and redeeming ETF shares (see Table A). Consistent with results for the US market,[26] APs create and redeem more ETF shares when NAV spreads widen. On days with high volatility, APs reduce arbitrage activity, as implied by a negative interaction term (Column 1). The rich data set allows us to run panel regressions at the underlying security level on a daily frequency, to assess the effects of ETFs while controlling for a host of other factors, including security and time fixed effects. We run the regressions for each underlying asset class separately, to understand the differential impacts of ETFs on them. For example, you have a bond ETF, and to check whether it is liquid or not, you need to study the bond liquidity.

In separately managed accounts for large dollar amounts, it uses value, size, and momentum, as well as a short-term reversal. This latter term refers to return over the prior month, which tends to display negative serial correlation, whereas medium-term momentum displays positive serial correlation. Get in-depth knowledge on the European ETF market by subscribing to all our newsletters that deliver expert analysis, market insights and industry events. Get a daily round-up of the latest news and features to help you stay ahead of the curve in a constantly changing market. “With no commonly agreed norm and lack of transparency, investors still heavily rely on external expertise to support their ESG selection process,” the report explained.

Authorized participants that are unable to purchase the components cannot efficiently create ETFs, while illiquid prices of the components might make redeeming the ETFs less attractive. After all, liquidity risks must be discounted in any illiquid security’s valuation due to slippage. Authorized participants create new ETF shares by acquiring the securities that make up the benchmark fund and then exchanging those securities %KEYWORD_VAR% for cash or ETF shares that it can then sell in the secondary market to individual investors. Conversely, authorized participants can redeem ETF shares in large increments in exchange for the underlying securities, or cash, in the appropriate weightings and amounts. Investors should look at several factors when evaluating ETF liquidity, including bid-ask spread, average daily trading volume and market capitalisation.

Primary Factor: Trading Volume of ETF Component Stocks

This is typically the case just after U.S. equity markets open and just before they close. ETFs with underlying securities in international markets are subject to additional liquidity considerations, notably the fact that the stock exchanges on which the underlying securities trade may be closed while U.S. exchanges are still trading. In that interval, the underlying securities are less liquid, which can result in wider bid-ask spreads. Investors with large ETF trades can also tap into primary market liquidity by working with an authorized participant to create or redeem ETF shares directly with the fund company. Our paper investigates market-level determinants of the liquidity spillover between the ETF and its underlying portfolio. Liquidity spillover shares similar market-level determinants to liquidity commonality.

To understand why such differential effects occur across the two underlying asset classes, we rely on a theoretical framework that looks at links between assets that are formed via information channels. Information links are formed when investors use information from one asset to price the other (Cespa and Foucault 2014). We argue that ETFs form such information links with the underlying securities through the activity of APs who continuously exploit arbitrage opportunities between the two markets.

ETFs that hold actively traded securities will be more liquid than those that do not. The survey, which interviewed 306 ETF buyers across 17 countries, found over 80% of respondents highlighted fund liquidity as an important factor when choosing an ETF while 74% pointed to the total cost of ownership. The data used in this paper includes all ETFs listed on the major US stock exchanges from 1993 to 2012. To ensure data integrity, we cross-check the information using the various data sources. Understanding these factors, particularly the ETF composition, is crucial as they impact the ease of transactions and potential returns from ETF investments.

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