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.

An Assessment of Impact of Domestic Price of Gold on NAV of Selected Gold Exchange Traded Funds

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Shefali Sinha ◽  
Dr. Mahua Dutta
Keyword(s):  
Standard Deviation ◽  
Mutual Fund ◽  
Research Study ◽  
Stock Exchange ◽  
Arithmetic Mean ◽  
Exchange Traded Funds ◽  
Statistical Calculation ◽  
Domestic Price ◽  
Exchange Traded Fund ◽  
The Impact

Study undertaken assesses the impact of behavior of domestic price of gold on selected gold exchange traded funds which were launched in the year 2010 at National Stock Exchange. The selected gold exchange traded funds constitute HDFC Gold Exchange Traded Fund, ICICI Prudential Gold Exchange Traded Fund and Religare Gold Exchange Traded Fund. Since, the investment objective of every selected scheme under research study is directly related to the domestic price of gold. So, the daily fluctuations of domestic price of gold are taken into account for assessing the impact on NAV prices of selected gold exchange traded funds. The study is aimed to meet objectives of (a) identifying whether NAV of all the selected three funds under research study is dependent upon Domestic Price of Gold. (b) Identifying in which respects NAV of the selected gold exchange traded funds differ from each other. Statistical calculation involves calculating arithmetic mean, standard deviation and standard error. The method for interpretation of data is application of Z-test that will assess the validity in results. This study helps investors to get a detailed insight in what respects NAV gets dependent upon domestic price of gold and the differentiating factors that differs NAV of the selected three Gold ETF mutual fund schemes under research study. This will prompt the investors to check the differentiating parameters of NAV while selecting the mutual fund house for investing in Gold ETF.

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.

scholarly journals The role of Exchange Traded Funds in the price discovery process of stocks listed on the Botswana Stock Exchange

2019 ◽  
Vol 6 (1) ◽  
pp. 141-148
Author(s):  
Edson Kambeu
Keyword(s):  
Significant Role ◽  
Price Discovery ◽  
Stock Exchange ◽  
Correction Term ◽  
Exchange Traded Funds ◽  
Discovery Process ◽  
Domestic Company ◽  
Price Discovery Process ◽  
Daily Returns

In this paper we analyse the role of Exchange Traded Funds (ETFs) in the price discovery process of stocks listed at the Botswana Stock Exchange.Using daily returns data covering the period 3 January 2013 to 31 December 2015 for Beta Betta ETF and Domestic Company Indices, we utilize a VECM model to find out whether the Betta Beta ETF is playing a significant role in the price discovery process of stocks listed on the Botswana Stock Exchange. We found the error correction term to be statistically significant thereby confirming that the Beta Betta ETF is playing a significant role in the price discovery of stocks listed on the Botswana Stock Exchange.

scholarly journals Evaluation of Growth of Mutual Funds and Exchange Traded Funds in India

2016 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
R. Venkataraman ◽  
Thilak Venkatesan
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Lower Risk ◽  
Lower Cost ◽  
Tracking Error ◽  
Secondary Data ◽  
Exchange Traded Funds ◽  
Fund Manager ◽  
Risk Return ◽  
Exchange Traded Fund

Investors are always baffled about the risk-return characteristics of their investments. There is often the challenge of the alternative between active&passive investments. In case of active mutual funds there are numerous categories of active funds each tracking a different benchmark. It often leads to confusion about how the performance can be compared between one fund to another. The growth of ETFs' has been phenomenal in the recent years due to various advantages of an exchange traded fund compared to the mutual fund as lower cost of management, lesser dependence on fund manager, ease of transaction to name a few. In this context the research analysedthe passive ETF's&prominent Mutual funds both active and passive to justify superior returns at lower risk. The research was based on secondary data, for a period of 5 years i.e. from 2010 to 2015.The various tools used were Sharpe Ratio, Jenson's Alpha, Treynor's Ratio and Tracking error. The study recommends fund houses to implement proactive strategies to reduce tracking error and make ETF's a better alternative for investment.

Risk and Return of Retail Sukuk and Retail Bond in Indonesia Period 2008-2017 (Comparative Study)

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Rahma Yudi Astuti ◽  
Asad Arsya Brilliant Fani
Keyword(s):  
Standard Deviation ◽  
Comparative Study ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bond Market ◽  
Bond Pricing ◽  
Risk And Return ◽  
Underlying Asset ◽  
The Real ◽  
The World

Sukuk and Bonds has differences and similarities. Fundamental differences between sukuk and bonds are first, underlying asset in every sukuk issuance, concept of profit loss sharing and the use of Islamic contracts. Whereas conducted research in practice of differences between sukuk and bonds are still an on-going discussion. This study aims to add the evidence in the discussion regarding whether there is differences between sukuk and bonds in the world of practice, provide investment preferences as well as educating investors in choosing sukuk or bonds as a sustainable and smooth instrument. The method used is Mann Whitney U-Test to test whether there is a different between yield to maturity (return) and standard deviation (risk) of both instruments. Using secondary data of Retail Sukuk (SR) and Retail Bonds (ORI) period 2008-2017 obtained from Indonesia Stock Exchange, Indonesia Bond Market Directory and Indonesia Bond Pricing Agency. The result shows that there is no significance difference of retail sukuk return and risk with retail bonds in Indonesia. Besides retail bonds are show higher return than retail sukuk because of higher coupon and longest mature date. While, retail sukuk is more stable rather than bonds as it backed up by the real underlying asset. Keywords: Retail Sukuk (SR), Retail Bonds (ORI), Yield to Maturity

scholarly journals Risk-return analysis of the investment portfolio of two stocks, under the Markowitz model. Case study: Two multinational companies listed on the Mexican Stock Exchange

2020 ◽  
pp. 21-27
Author(s):  
María Trinidad ALVAREZ-MEDINA
Keyword(s):  
Stock Exchange ◽  
Industrial Sector ◽  
Financial Assets ◽  
Investment Portfolio ◽  
Model Case ◽  
Risk Return ◽  
Economic Entity ◽  
Food And Beverage ◽  
And Performance

Investment in productive and financial assets are a decision made as an alternative to direct resources to bring greater value and higher performance to an economic entity. The objective of this article is to analyze the return risk of the stocks of two companies listed on the Mexican Stock Exchange (BMV), presenting the case of the companies Grupo Bimbo, SAB de CV, and GRUMA, SAB de CV, both companies listed on the Mexican Stock Exchange, belonging to the industrial sector specifically the food and beverage sub-sector, being the most representative companies of this sector. The return on the portfolio is 0.27256% and the risk is 0.0121862, with an investment of 50% in each of them. The period analyzed was from 2015 to 2018. It is important to base decision-making by considering the risk analysis and performance of financial assets in where you wish to invest, in addition to relying on other analyzes such as fundamental and technical analysis, among others.

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 Predicting the Istanbul Stock Exchange Index Return using Technical Indicators

2013 ◽  
Vol 2 (3) ◽  
pp. 111-117
Author(s):  
Senol Emir
Keyword(s):  
Stock Exchange ◽  
Absolute Error ◽  
Percentage Error ◽  
Support Vector ◽  
Model Parameters ◽  
Technical Indicators ◽  
Istanbul Stock Exchange ◽  
Vector Machines ◽  
Classical Linear Regression ◽  
Daily Returns

The aim of this study to examine the performance of Support Vector Regression (SVR) which is a novel regression method based on Support Vector Machines (SVM) approach in predicting the Istanbul Stock Exchange (ISE) National 100 Index daily returns. For bechmarking, results given by SVR were compared to those given by classical Linear Regression (LR). Dataset contains 6 technical indicators which were selected as model inputs for 2005-2011 period. Grid search and cross valiadation is used for finding optimal model parameters and evaluating the models. Comparisons were made based on Root Mean Square (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Theil Inequality Coefficient (TIC) and Mean Mixed Error (MME) metrics. Results indicate that SVR outperforms the LR for all metrics.

scholarly journals An Evaluation of Relationship between Risk, Return and Social Structure and their Impact on Individual Investor’s Behaviour at Pakistan Stock Exchange

2019 ◽  
Vol 15 (1) ◽  
pp. 184-192
Author(s):  
Sumair Farooq ◽  
Keyword(s):  
Social Structure ◽  
Stock Exchange ◽  
Research Paper ◽  
Individual Investors ◽  
Probability Method ◽  
Risk And Return ◽  
Secondary Sources ◽  
Risk Return ◽  
Investor Behaviour

This research paper focusing on twofold purposes: where the first part focuses on providing positive evidence on the nature of relationship between risk and return. Moreover, the second part of the paper deals with analyzing the role of risk and return and social structures on the investor’s behaviour in specific consideration with Pakistan Stock Exchange (PSX) (formerly Karachi Stock Exchange; KSE). This research paper has employed a quantitative approach for the purpose of collection of data and analysis of the results in order to fulfil the aim and objectives of the study. The data for risk and return has been collected from secondary sources. The risk and return for 50 companies that are listed on Pakistan Stock Exchange and at least once paid dividend have been calculated for 11 years which is from 2007 to 2017. Moreover, in order to collect the data for social structure and investor  behaviour  the  researcher  has  used  survey  questionnaire  as  the  research  instrument.  The  questionnaire was filled by 558 individual investors who have invested their capital in the stock of companies listed on Pakistan Stock Exchange. The sampling method that was used for the purpose of selecting respondents for getting the questionnaires filled was non-probability method. For all the independent variables the null hypotheses are rejected thus showing significance of relationship. The results from  the  regression  analysis  has  shown  that  among  all  the  predicting  variables  social  structure explains the lowest amount of variation in investor’s behaviour. Thus, overall it can be said that the results of this study are in alignment with the previous researches.

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