The Dark Side of ETFs?
Sounds interesting, and in my humble opinion, an image of Darth Vader on page 1 would be a great addition to the paper.
The paper, “Is there a dark side to exchange traded funds? An information perspective,” written by Doron Israeli, Charles M. C. Lee, and Suhas A. Sridharan, digs into the details on some implications of higher ETF ownership on individual stocks.
The main premise of the paper is as follows–more people are investing using ETFs, so what are the implications of higher ETF ownership for individual stocks?
We find that after introducing composite securities with endogenous designs, asset prices reflect more systematic information and less asset-specific information, because market makers, understanding that the factor speculator now fully exploits his informational advantage, set prices more sensitive to the composite security orders.
The theory paper suggests that systematic information becomes important (as ETF ownership grows) and firm-specific information becomes less important. Very interesting!
So while the theory says that ETFs are causing firm-specific information to have less of an impact, what does the data say? That is the point of this paper we will discuss below.
The paper begins by proposing that there are two ways that increased ETF ownership can affect individual stocks.
We propose and test two hypotheses. First, we posit that as ETFs become larger holders of a firm’s shares, trading costs for the underlying securities will increase. This increase in trading costs is associated with a decrease in available liquidity for the component securities owned by ETFs. Second, we posit that the increased trading costs will lead to a general deterioration in the pricing efficiency of the underlying securities. Specifically, we posit that the increased trading costs will deter traders who would otherwise expend resources on information acquisition about that stock. In other words, for firms that are widely held by ETFs, the incentive for agents to seek out, acquire, and trade on firm-specific information will decrease. Over time, this will result in a general deterioration in the firm’s information environment and a reduction in the extent to which its stock price can quickly reflect firm-specific information
So the papers is proposing two hypotheses:
- As ETF ownership increases, the trading costs of the underlying securities will increase.
- As ETF ownership increases, firm-specific information will be reflected less in prices (while market/industry information will be more important).
What could be the cause of this? In the authors words:
Even more importantly, ETFs offer an attractive alternative investment vehicle for uninformed (or “noise”) traders, who would otherwise trade the underlying component securities. As ETF ownership increases, some uninformed traders in the underlying securities migrate toward the ETF market. Over time, this migration creates a steady siphoning of firm-level liquidity, which in turn generates a disincentive for informed traders to expend resources to obtain firm-specific information.
The authors suggest noise traders have simply moved from stocks to ETFs.(1) Doing so causes liquidity to move from the underlying stocks, and for information to move to the market/industry level as opposed to the firm-specific level.
The authors examine the results by looking at the changes in ETF ownership (not the level) and it affect on the variables above. Figure 2 in the paper (shown below) provides a nice visual of the variable construction in the paper.
Below we examine how the authors test these ideas.
The Data and Results
The paper examines U.S. stocks from 2000-2014 to study the effect of ETF ownership on (1) Trading costs and (2) proxies for firm-level pricing efficiency. Figure 1 (shown below) highlights that ETF ownership has greatly increased over this time period. Figure 1 graphs the average percentage of shares outstanding held by ETFs for firms in the sample. While starting close to 1% in 2000, the average percentage of shared held by ETFs is now above 5%!
So what are the effects of this increased ownership?
The paper first tests the impact that increased ETF ownership has on trading costs for the underlying stocks. To test this idea, the authors regress the change in ETF ownership for each stock against two measures of trading costs: (1) average bid/ask spread and (2) an adjusted measure of the price impact of trades. Table 2 (below) shows the results to the regression on the average bid/ask spread. As can be seen on the first line, the paper finds that as ETF ownership increases, the average bid ask spread increases, and the result is significant. The paper finds a similar result in Table 3, whereby increasing ETF ownership causes the price impact of trades to increase.
The results in Tables 2 and 3 of the paper indicate that increased ETF ownership appears to be increasing the cost of trading the underlying securities!(2)
Next, the authors examine how increases in ETF ownership affects firm prices. They examine this through two measurement variables:
- Stock return synchronicity (SYNCH) — the extent to which variation in firm-level stock returns is attributable to movements in market and related-industry returns.
- Future earnings response coefficient (FERC) — the association between current firm-specific returns and future firm earnings.
The authors find very similar results to a separate theory paper, which is that asset prices reflect (1) more systematic information and (2) less asset-specific information. The test for asset prices reflecting more systematic information is found in Table 4 (shown below), where the authors regress the SYNCH variable against the changes in ETF ownership. As suggested by the authors and the theory, as ETF ownership increases, more of the stock return movement is explained by movements in the market and related-industry returns. This is shown as the coefficient on the SYNCH variable is positive and statistically significant. The paper finds that a one percentage point increase in ETF ownership is associated with approximately a 9 percentage point increase in the average annual change in return synchronicity.
Next, the authors examine how firm-specific information gets embedded in prices as a result of increases in ETF ownership. To do this, they regress current stock returns on future earnings, to examine the extent to which current firm-level returns reflect future firm (or macro) based earnings. The results to the regression are shown in Table 5, Panel A (shown below). Examining the interaction term of (1) the changes of ETF ownership and (2) future earnings for a firm, one finds a statistically significant