Tracking Errors and Their Determinants

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Patrick Kuok Kun Chu ◽  
Dan Xu
Keyword(s):  
Fixed Effects ◽  
Economies Of Scale ◽  
Stock Exchange ◽  
Tracking Error ◽  
Market Risk ◽  
Exchange Traded Funds ◽  
Tracking Errors ◽  
Tracking Ability ◽  
Trading Volumes ◽  
The Impact

The purposes of this study are to compare the tracking error between 53 sampled physical and 15 over-the-counter (OTC) swap-type exchange-traded funds (ETFs) on the Tokyo Stock Exchange, and to contribute to a better understanding of the impact of selected determinants on the daily tracking error. The sample synthetic ETFs are found having higher tracking error than the sampled physical ETFs. The synthetic-type ETF managers may be difficult in using derivatives to replicate the benchmark performance. A panel regression model with cross-section fixed effects indicates the tracking error of the sampled physical ETFs is negatively related to size but positively related to expense ratio, dividend yield, trading volumes, market risk, and number of constituents in the target indexes. The results conform with the hypotheses that the expense, delay in receiving dividends, the trading cost and the market risk may erode the tracking ability; on the other hand, the economies of scale will improve the tracking ability. This study may help to raise a broader discussion of potential tracking error determinants and to provide some new insights.

Determinants of tracking error in German ETFs – the role of market liquidity

2016 ◽  
Vol 42 (5) ◽  
pp. 417-437 ◽  
Author(s):  
Friedrich Osterhoff ◽  
Christoph Kaserer
Keyword(s):  
Fixed Effects ◽  
Tracking Error ◽  
Market Liquidity ◽  
Special Focus ◽  
Exchange Traded Funds ◽  
Content Type ◽  
Tracking Ability ◽  
Liquidity Cost ◽  
Underlying Stocks ◽  
The Impact

Purpose – The purpose of this paper is to contribute to a better understanding of the impact of market liquidity on the daily tracking error of exchange-traded funds (ETFs). It puts a special focus on the liquidity cost of individual underlying stocks as well as the process of creation/redemption of ETF shares as key determinants of tracking ability. Design/methodology/approach – The study is based on daily observations of fund data for eight fully replicating German equity ETFs for July 2001-October 2013. A regression model with fund fixed effects is chosen to determine the effect of liquidity cost, creation/redemption and other control variables on daily tracking error. Data were compiled from issuer websites and Datastream. Proprietary XETRA Liquidity Measure, which was used as proxy for liquidity cost was supplied by Deutsche Börse. Findings – The study finds daily tracking error to significantly depend on the liquidity of underlying stocks. This finding emerges even though the ETFs in this study predominantly use in-kind creation/redemption. Even after controlling for creation/redemption, the liquidity impact remains basically unchanged. One reason might be imperfect replication of index weights: Either the in-kind-basket delivered in the course of creation/redemption does not perfectly match the benchmark-weights or the internal rebalancing of weights causes liquidity cost. Originality/value – To the best of the authors’ knowledge, this is the first paper that uses a specific liquidity measure for each single stock underlying an ETF. The findings extend the literature by corroborating the view that liquidity of individual stocks in the underlying portfolio has an impact on tracking error.

scholarly journals Tracking Errors of Exchange Traded Funds in Bursa Malaysia

2019 ◽  
Vol 11 (2) ◽  
pp. 96
Author(s):  
Alfred Ing-Soon Ku ◽  
Venus Khim-Sen Liew ◽  
Chin-Hong Puah
Keyword(s):  
Tracking Error ◽  
Exchange Traded Funds ◽  
Tracking Errors ◽  
Retail Investors ◽  
Follow Up Studies ◽  
Tracking Ability ◽  
Selection Of

This study measures the tracking errors of exchange traded funds (ETFs) listed in Bursa Malaysia. Five measures of tracking errors are estimated in this study for the seven ETFs involved. Overall, the best ETF is METFAPA with the least tracking error. The ranking of the remainder ETFs, in the ascending order of tracking error is MYETFID, METFSID, MYETFDJ, CIMC50, FBMKLCI-EA and CIMBA40 (highest tracking error). The findings in this study is expected to provide clue for passive institutional and retail investors on their selection of ETFs to mimic the portfolio of the desired underlying assets. Moreover, it is anticipated that these findings will motivate the improvement in the tracking ability of the existing ETFs, solicit more follow up studies to encourage the development of new ETFs and increase the participation of investors.

scholarly journals ETFS – performance, tracking errors and their determinants in Europe and the USA

2019 ◽  
Vol 9 (4) ◽  
pp. 67-76
Author(s):  
George Tsalikis ◽  
Simeon Papadopoulos
Keyword(s):  
Tracking Error ◽  
Exchange Traded Funds ◽  
Tracking Errors ◽  
Performance Tracking ◽  
Tracking Ability ◽  
The Usa ◽  
Fund Size

Exchange-traded funds (ETFs) have grown considerably since their first introduction two and a half decades ago, becoming one of the most popular passive investment vehicles among retail and professional investors. However, their tracking ability is often questioned. In this paper we estimate tracking errors from a sample of 15 American and European ETFs utilizing three different methods. We find that American ETFs seem to exhibit lower tracking errors than European ETFs in all measurements of tracking error. We also analyse and discuss the factors that influence tracking error. Fund size and expense ratios are found to be affecting the tracking ability of ETFs. The results of this study concerning the performance and tracking error determinants of ETFs are consistent with the evidence presented in the literature. To our knowledge, this is the first study to compare American and European ETFs in terms of their tracking ability and their tracking error determinants.

scholarly journals Tracking errors and their determinants: Evidence from Hong Kong exchange traded funds

2016 ◽  
Author(s):  
Patrick Kuok-Kun Chu
Keyword(s):  
Hong Kong ◽  
Panel Data ◽  
Stock Market ◽  
Negative Impact ◽  
Tracking Error ◽  
Exchange Traded Funds ◽  
Dividend Yield ◽  
Tracking Errors ◽  
Expense Ratio ◽  
Trading Volumes

This paper uses panel data to find the determinants of tracking errors in exchange traded funds (ETFs) in the Hong Kong stock market. A comparison of tracking errors between physical and synthetic ETFs also indicates that the synthetic ETFs have higher tracking errors. The magnitude of tracking errors is found to be negatively related to size but positively related to dividend yield, trading volumes of funds, and market risk. However, this study also finds that expense ratio has a negative impact on tracking error, which is not consistent with previous studies, and which this paper addresses.

Managers' and auditors' narcissism on the management team's stability and relative corporate performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Safoura Rouhi ◽  
Mohana Usefi Moghadam ◽  
Faezeh Faramarzi
Keyword(s):  
Significant Relationship ◽  
Fixed Effects ◽  
Corporate Performance ◽  
Stock Exchange ◽  
Relative Performance ◽  
Psychological Characteristics ◽  
Content Type ◽  
The Impact ◽  
The Relationship ◽  
Performance Research

PurposeSuccess in corporate relative performance is one of the factors for the growth and durability of firms. Since the relative performance is a function of managers' decisions and such decisions are under the influence of behavioral and psychological characteristics, this paper aims to assess the managers’ and auditors’ narcissism's effect on the management team's stability relative to corporate performance.Design/methodology/approachThis paper has used the signature magnitude for examining narcissism and the regression model of Jenter and Kanaan (2015) for assessing relative corporate performance. The logistic regression is used to test the model of the management team's stability, and the multivariate regression is used to test the model of relative corporate performance. Research hypotheses were also examined using a sample of 768 listed year-companies on the Tehran Stock Exchange during 2012–2017 and by employing a panel data approach and fixed effects method.FindingsThe obtained results show a negative and significant relationship between managers' and auditors' narcissism and the management team's stability. The relationship between the narcissism of managers and auditors and relative corporate performance is positive and significant. Moreover, managers' narcissism positively and significantly impacts the relationship between auditors' narcissism and team management stability. A negative and significant relationship is evident between auditors’ narcissism and relative corporate performance.Originality/valueThis study's results can identify the effect of psychological components such as narcissism on people's performance by directing and influencing their decisions. Many studies have been conducted on narcissism, but none of them have examined the impact auditors’ and managers' narcissism has on the management team's stability and the corporate relative performance. Therefore, considering the importance of success in the corporate relative performance and benefits of the management team's stability, this study's results can reveal the importance of such features in accounting research. Also, the results of this research can make it important to know more about financial behavioral theory.

scholarly journals Rebalancing of exchange traded funds in stock market using option trading strategies

2021 ◽  
Vol 20 (3) ◽  
pp. 513-527
Author(s):  
Vinaykumar Elegeti
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Tracking Error ◽  
Threshold Value ◽  
Trading Strategies ◽  
Exchange Traded Funds ◽  
Dynamic Features ◽  
Financial Industry ◽  
Option Trading ◽  
The Impact

Motivation: The finance and academic industries are highly discussed in the stock market trading domain. The increase in economic globalization shows the connection among stock markets in different countries, which produces the effect of risk conduction in the market. Forecasting the direction of every day’s stock market return is important and challenging. The growing complexity and dynamic features in stock markets are difficult in the financial industry. The inflexible trading method developed by financial practitioners utilized a larger amount of stock market features and is failed to achieve a satisfactory result in every condition of the market. Further, the existing data mining approaches are incomplete and inefficient. Aim: To overcome the issues in stock and problem of existing methods, proposed option trading strategies for rebalancing Exchange Traded Fund (ETF) in the stock market. Rebalancing-ETF measure the volatility of the stock to track the error of model and rebalance the threshold quality to improve the trade. The proposed method increases the order of threshold quantity to rebalance the trade. Results: The result showed that the minimum orders increases in rebalancing trade, which reduces the impact of price formations in market. The tracking error occurs when the larger quantity of threshold value reduces the quantity. Then, the markets are changed significantly when the Net Asset Values (NAV) of rebalancing ETF increases.

scholarly journals The Impact Of Good Corporate Governance To Manufacturing Firm’s Profitability And Firm’s Value

2016 ◽  
Vol 5 (2) ◽  
pp. 181-196 ◽  
Author(s):  
Johanes Sumarno ◽  
Sendy Widjaja ◽  
Subandriah Subandriah
Keyword(s):  
Corporate Governance ◽  
Fixed Effects ◽  
Negative Impact ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Fixed Effects Model ◽  
Good Corporate Governance ◽  
Oecd Principles ◽  
Equitable Treatment ◽  
The Impact

This paper studied the behavior of management toward the implementation of Good Corporate Governance in Indonesia to determine whether it has any influence towards profitability and its implication to the Manufacturing Firms’ value publicly listed in Indonesian Stock Exchange. There were 41 corporations who met the criteria of the survey. The data were analyzed using Panel Regression with fixed effects Model. The empirical findings show that the implementation of Corporate Governance in Indonesia has a positive, significant and direct impact toward firms’ profitability and firms’ value. Corporate Governance principles based on OECD principles that have positive and significant impact to both profitability and Firms’ Valueis Rights of Shareholders, Role of Stakeholders, Responsibilities of the Board Commissioners and Board of Directors. The principles that have significance and negative impact towards corporate profitability and value, are: Equitable treatment of shareholders and Disclosure and Transparencies. The most significant principle influencing profitability and firms’ value is Disclosure and Transparencies. Profitability plays a greater role in influencing Manufacturing Firms’ value in Indonesia. DOI: 10.15408/sjie.v5i2.3542

Tracking Efficiency of Exchange Traded Funds (ETFs)

Paradigm ◽  
2016 ◽  
Vol 20 (2) ◽  
pp. 176-190 ◽  
Author(s):  
Jaspal Singh ◽  
Prabhdeep Kaur
Keyword(s):  
Regression Analysis ◽  
Present Article ◽  
Mutual Fund ◽  
Negative Impact ◽  
Tracking Error ◽  
Evaluation Criteria ◽  
Panel Regression ◽  
Exchange Traded Funds ◽  
Tracking Ability ◽  
Managed Funds

Exchange traded funds (ETFs) have emerged as a new investment vehicle in the mutual fund industry providing investors with the ability to trade the entire market through a single transaction executed at the exchange. Using a sample of 12 equity ETFs from 1 April 2011 to 31 March 2015, the present article attempts to examine the performance efficiency of ETFs in India and explore factors that drive the performance of ETFs away from their target indices. The study reveals that ETFs exhibit significant tracking error while trying to replicate the returns of their benchmark indices. The results of panel regression analysis further reveal that the assets under management and volume positively affected the tracking ability of ETFs whereas volatility is reported to have negative impact on the tracking efficiency of ETFs. The results will have important implications for investors, managers as well as for the evaluation criteria involved in assessing the performance of actively managed funds.

scholarly journals The impact of financial variables on systematic risk – An empirical study in manufacturing industry on Ho Chi Minh stock exchange

2017 ◽  
Vol 1 (Q4) ◽  
pp. 88-94
Author(s):  
Minh Tien Pham ◽  
Bich Huy Hai Bui ◽  
Thao Thi Thu Nguyen
Keyword(s):  
Fixed Effects ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Systematic Risk ◽  
Ordinary Least Squares ◽  
Operating Efficiency ◽  
Manufacturing Companies ◽  
Financial Variables ◽  
The Impact

The aim of this study is to examine the effect of financial variables on systematic risk, using the panel data of 64 manufacturing companies listed in Ho Chi Minh City Stock Exchange (HOSE) during the period of 2011-2015. The three models employed are pooled Ordinary Least Squares (OLS), Random Effect Model (REM), and Fixed Effects Model (FEM). The results of model tests show that FEM is the most suitable to carry out the analysis. In order to increase the efficiency of the model, the tests for model problems are conducted. The results point to the presence of heteroskedasticity problem in the model; therefore, the modified FEM is used to deal with this issue. Empirical evidence from HOSE indicates that leverage has a significantly positive impact while operating efficiency and profitability show significantly negative impact on systematic risk (beta).

scholarly journals PERFORMANCE OF NIFTY 50 EXCHANGE TRADED FUNDS

2021 ◽  
Vol 9 (02) ◽  
pp. 77-83
Author(s):  
Roshni P.R ◽  
◽  
E. Sulaiman ◽  
Keyword(s):  
Standard Deviation ◽  
Stock Exchange ◽  
Tracking Error ◽  
Exchange Traded Funds ◽  
Risk Return ◽  
Daily Returns

The study evaluated the performance of selected Nifty 50 ETFs tracking Nifty 50 Index listed in National Stock Exchange in India during a period of six years starting from 1st April, 2014 to 31st March, 2020. The performance of ETFs is measured using Average Daily Returns, CAGR, HPR, Standard Deviation, Tracking Error, R squared and Beta. It is found that there is difference in the risk-return pattern of Nifty 50 ETFs and its index Nifty 50. Aditya Birla Nifty ETF is the performing fund among the selected ETFs.

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