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The purpose of this paper is to find if erosion of value exists in grantor trust structured exchange traded funds. The author examines the performance of six currency exchange traded funds’ tracking errors and pricing deviations on intradaily-one-minute interval basis. All of these exchange traded funds are grantor trusts. The author also studies which metric is of more importance to investors in these exchange traded funds by examining how these performance metrics are related to the exchange traded funds’ arbitrage mechanism.

The Australian Dollar ETF (FXA) is designed to be 100 times the US Dollar (USD) value of the Australian Dollar, the British Pound ETF (FXB) is designed to be 100 times the USD value of the British Pound, the Canadian Dollar ETF (FXC) is designed to be 100 times the USD value of the Canadian Dollar, the Euro ETF (FXE) is designed to be 100 times the USD value of the Euro, the Swiss Franc ETF (FXF) is designed to be 100 times the USD value of the Swiss Franc and the Japanese Yen ETF (FXY) is designed to be 10,000 times the USD value of the Japanese Yen. The author uses these proportions to estimate pricing deviations. The author uses a moving average model based on an Elton et al. (2002) to estimate if tracking error or pricing deviation are more relevant in ETF arbitrage and thus to investors.

The author documents that the average intradaily tracking errors for the six currency ETFs are relatively small and stable. The tracking errors are highest for the FXF, 0.000311 percent and smallest for FXB, −0.000014 percent. FXB is the only ETF with a negative tracking error. All six ETFs average intradaily pricing deviations are negative with the exception of the FXA pricing deviation which is a positive $0.17; the rest of the ETFs pricing deviations are −0.3778 for FXB, −0.3231 for FXC, −0.2697 for FXC, −0.2697 for FXE, −0.6484 for FXF and −0.9273 for FXY. All exhibit skewness, kurtosis, very high levels of positive autocorrelation and negative trends, which suggests erosion of value. The author also found that these exchange traded funds’ arbitrage mechanism is more closely related to the exchange traded funds’ pricing deviation than tracking error.

The paper uses high-frequency one-minute interval data in the analysis of pricing deviation which might be artificially deflating standard errors and thus inflating the t-test significance values.

The paper is relevant to ETF investors and contributes to the continuing search in the finance literature of better ETF performance metric.

The purpose of this study is to extend the work of DeFusco, Ivanov and Karels by examining pricing deviation of DIA, SPY and QQQQ on intradaily basis.

The DIA is designed to be one hundredth of the DJIA, the SPY is designed to be one tenth of the S&P 500 and QQQQ is designed to be one fortieth of the NASDAQ 100. This feature of ETFs requires the estimation of the difference between the proportional level of the index and the price of the ETF, which is the ETF pricing deviation.

The paper finds that the DIA, SPY and QQQQ pricing deviations are 0.0429, −0.0743 and 0.4298, respectively. The findings indicate that the prices of DIA and QQQQ are on average lower than the underlying indexes. SPY is the exception having a price which is higher than the theoretical price of the S&P 500 index. The author finds that this is due to the increased demand for the SPY. Additionally, the paper provides an explanation for the large change (increase) in the pricing deviation of QQQQ after December 1, 2004 which DeFusco, Ivanov and Karels could not explain. On December 1, 2004 QQQQ trading was consolidated on NASDAQ. The paper finds negative growth in the volume of QQQQ after December 1, 2004 indicating decrease in popularity of this ETF. The decrease in popularity of QQQQ might explain the increase in its pricing deviation.

The paper uses high frequency data in the analysis of pricing deviation which might be artificially deflating standard errors and thus inflating the t‐test significance values.

The paper contributes to the ongoing search in the finance literature of precision ETF performance metrics.

The authors examine the factors that impact the growth of exchange traded funds (ETFs) from 1990 to 2020. The authors show the first-mover and winner-takes-all effects from top ETF issuers. Besides the longer history and larger asset under management (AUM), the ETFs being managed by top issuers have exhibited lower risks and higher trading volume. Delisted ETFs on the contrary has a shorter history, lower AUM, higher risks, and lower trading volume. For zombie ETFs, the authors find longer history, lower risks but lower AUM and trading volume, controlled for total expense ratio, return, volatility, Amihud (2002) illiquidity, bid-ask spread, turnover ratio, as well as year, issuer, asset class and region fixed effects. The authors further study the ETFs’ AUM and trading activities over the 2008 Global Financial Crisis (GFC) and COVID-19 pandemic crisis, and find that the GFC has a significant negative impact while the COVID-19 has a positive impact on the ETFs’ popularity. The significant increase in AUM of ETF relative to common stocks during the COVID-19 is associated with retail investors’ holdings, as the authors document a significant reduction of institutional holdings at the aggregate level.

The aim of this study is to examine the tracking performance and tracking error (TE) of New Zealand exchange traded fsunds (ETFs).

The authors use regression methods and cointegration analysis to examine tracking performance. Multivariate regressions are used to examine the determinants of TE.

At the daily frequency, the authors observe that the ETFs have substantially different exposures to their underlying indexes from what they should be, which is confirmed by cointegration analysis. At the monthly frequency, tracking performance improves but still shows significant differences between the ETF and its underlying index. When the authors examine the TEs of the ETFs, the authors observe that these are substantial and that there is considerable variation in TE. Regression analysis shows that both characteristics of the ETF and the constituents of the index the ETF tracks, as well as the volatility of the underlying benchmark are determinants of the TE of the ETFs.

This is the first study to examine New Zealand-based ETFs. The findings contribute to understanding the performance of these ETFs and are of relevance to academics, investors and the ETF provider.

The purpose is of this paper is to investigate whether the tracking ability of exchange traded funds (ETFs) is lower in highly volatile periods, and to shed more light on the factors behind the tracking error.

The authors apply the Error Correction Model that incorporates a short‐run adjustment mechanism on domestic US ETFs that follow industrial indices.

It was found that tracking errors attained pronounced levels during 2008 compared to 2006 and 2007, mainly in ETFs from the real estate and banking and finance sectors. In addition, tracking error is positively correlated with the daily volatility of the ETF, while trading volume has a limited effect on reducing tracking errors.

The paper sheds more light on the relationship between securities and their fundamentals, and contributes to the literature on the information transmission mechanism for dually‐listed securities.

The paper uses the co‐integration tests and the error correction model (ECM) to test the long‐run relationship between returns on domestic exchange trade funds (ETFs) and the returns on the underlying indices. In particular, the ECM is used for ETFs for the first time.

To discuss how product innovations in exchange‐traded funds (ETFs) have blurred the line between passive and active management, and to explore the legal ramifications of these developments.

Describes how ETFs operate and how the ETF marketplace has grown; discusses the use of broad‐based indexes for most ETFs until recently; describes newer ETFs that provide targeted exposure to narrow market segments; and discusses underlying indexes that are based on performance‐based characteristics rather than market segments, along with possible difficulties in making performance‐based criteria widely available to investors.

Historically the SEC has expressed skepticism over actively managed ETFs because of uncertainty as to whether they can provide the same portfolio transparency and arbitrage opportunity that traditional ETFs can. As “Rule Sets,” or criteria for including companies in performance indexes, become more involved and less objective, the challenge will be to ensure that sufficient arbitrage opportunities exist to ensure pricing efficiency. If that challenge can be met, it may serve as a model for a truly actively managed ETF.

Explains how the new generation of ETFs is coming closer to the line of active management and the legal issues that must be surmounted before truly actively managed ETFs are offered.

The purpose of this study is to ascertain how foreign and domestic Exchange Traded Funds (ETFs) investing in Indian equities affect their return volatility and pricing efficiency. Further, we investigate how the difference in market timings affect the impact of ETFs on their constituents. Lastly, we examine how these effects vary during tranquil and turmoil periods in the ETF markets.

The study is based on quarterly data for stocks comprising the CNX Nifty 50 Index from 2009Q1 to 2019Q3. The data on holdings of 45 domestic and 196 foreign ETFs in the sample stocks were obtained from Thomson Reuters' Eikon. The paper employs a panel-regression methodology with stock and time fixed effects and robust standard errors.

Foreign ETFs from North America and the Asia Pacific largely have an adverse impact on stocks' return volatility. In times of turmoil, stocks with higher coverage of European, North American and Domestic funds are susceptible to volatility shocks emanating from these regions. European and Asia Pacific ETFs are associated with improved price discovery while North American funds impound a mean-reverting component in stock prices. However, in turbulent markets, both positive and negative impacts of ETFs on pricing efficiency coexist.

To the best of the authors' knowledge, this is the first study that examines the impact of domestic as well as foreign ETFs on the equities of an emerging market. Furthermore, the study is unique as we investigate how the effects of ETFs vary in turbulent and tranquil markets. Moreover, the paper examines the role of asynchronous market timings in determining the ETF impact. The paper adds to the growing literature on the unintended consequences of index-linked products.

The purpose of this paper is to present the results of a study on investor behavior in exchange-traded fund (ETF) markets. The standard feedback trading model of Sentana and Wadhwani (1992) is used in a sample of 18 ETFs contracts in Brazil, China, South Africa, Korea, Mexico and India, as well as three ETFs contracts in the US market.

The sample includes data on daily closing prices and net asset values (NAVs) for three ETFs from each of the emerging markets of Brazil, China, Mexico, Korea and India, as well as on three ETFs from the US market. The authors used the earliest start date available in the Thomson Reuters database pertaining to all of the ETFs, and all series ended on May 5, 2017, and applied the well-established Santana and Wadhwani (1992) seminal model to evaluate evidence of feedback trading in the sample.

The empirical analysis suggests that there is evidence of feedback trading in emerging markets such as Brazil, Korea, Mexico and India, while there is no such evidence for the US market. The results are consistent with the view that developed markets investors are prone to pursue fundamental-driven investment strategies, while emerging markets investors appear to have informational guided behavior.

Emerging markets still make up a very small part of the global ETF market, led by the USA. Nevertheless, it is extremely important that studies of this nature be gradually expanded as these markets grow, in order to verify how emerging markets compare to their developed counterparts in terms of the efficiency of information sharing and rationalization of its operations.

Emerging markets policy makers could benefit from these findings by stimulating new mechanisms that could minimize informational asymmetry and the persistence of so-called noise traders, a phenomenon observed recently in studies regarding ETF markets (Brown, Davies and Ringgenberg, 2018).

The behavior of investors was investigated by analyzing a sample of 18 ETFs from the emerging markets of Brazil, China, South Africa, Korea, India and Mexico, as well as three ETFs from the US market. Despite of being investigated separately both emerging (Charteris et al., 2014) and developed markets (Chau et al., 2011), the innovation consists in comparing those markets in a single study, pursuing to explain potential reasons for the differences observed between developed and emerging markets.

The purpose of this paper is to examine the risk of inefficiency of China's stock index futures market by investigating the opportunity and profitability of exchange‐traded fund (ETF) arbitrage. The explanation of behavioral risk to market efficiency is examined.

Based on cost‐of‐carry model, some assumptions about market efficiency were examined, and statistical tests were implemented to support the findings.

In China, borrowing and lending interest rates are quite different; dividends are small and paid in an irregular manner; and short sale cannot be used in arbitrage by all investors. It is found that the Chinese index futures market is far from efficient.

With reference to the empirical study, this is believed to be the first application of behavioral study to the study of market efficiency. The analysis of the statistics about Chinese index futures market and the algorithm parameters are very valuable for in‐depth understanding of the emerging markets.

The purpose of this paper is to provide a brief review of three strands of the literature on exchange‐traded funds.

The paper starts with a review of the history of the growth of exchange‐traded funds and their characteristics. The paper then examines the key factors and findings of the existing studies on, respectively, the pricing efficiency, the tracking ability/performance, and the impact on underlying securities of exchange‐traded funds.

Although there has been a substantial amount of research conducted to advance our knowledge on the trading, management, and effect of exchange‐traded funds, the findings are still far from conclusive in addressing a number of research questions.

Investors and other market participants will find this review informative in enhancing the understanding of exchange‐traded funds.

By highlighting the general theme of the related research findings, the paper provides a systematic review of the existing literature that future researchers can utilize in developing their research agenda.