An Evaluation of the Tracking Performance of Exchange Traded Funds (ETFs): The Case of Indian Index ETFs

2021 ◽  
pp. 097226292199648
Author(s):  
Vanita Tripathi ◽  
Aakanksha Sethi
Keyword(s):  
Tracking Performance ◽  
Capital Asset Pricing ◽  
Exchange Traded Funds ◽  
Tracking Errors ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Asset Value ◽  
Tracking Ability ◽  
The Usa

The present study investigates how efficiently India-domiciled exchange traded funds (ETFs) replicate the returns of their underlying indices and analyses the factors that determine the tracking performance. We use a three-pronged approach involving Capital Asset Pricing Model (CAPM) regression, cointegration-Vector Error Correction Model methodology and tracking errors (TEs) to assess tracking efficiency. Random-effects panel regression is employed to evaluate how fund-specific factors influence tracking ability. We find that ETFs carry significantly lower exposure towards their indices than what their objective would suggest. Long-run linkages with benchmarks exist for most ETFs, but the price deviations from the indices are fairly persistent. The TEs for the majority of the funds are large and non-trivial. Bid-ask spreads, price-net asset value deviations, fund’s age and, to some extent, its size are the primary factors that influence tracking performance. ETFs in developed markets such as the USA and Europe have been found to exhibit superior benchmarking abilities. The study is expected to assist investors in developing a more efficient ETF portfolio and to help fund providers improve the quality of their offerings.

Excess Volatility and Costly Arbitrage in Exchange Traded Funds (ETFs): Evidence from India

2019 ◽  
pp. 002029401985748
Author(s):  
Aakanksha Sethi ◽  
Vanita Tripathi
Keyword(s):  
Cointegration Analysis ◽  
Exchange Traded Funds ◽  
Vector Error Correction ◽  
Additional Layer ◽  
Vector Error ◽  
Equilibrium Relationship ◽  
Asset Value ◽  
Excess Volatility ◽  
Short Run

The present study investigates the issue of excess volatility in index exchange-traded funds (ETFs) in India and analyses how well the costly arbitrage theories apply to this segment of the market. We find that the returns of the average ETF are 110 per cent more volatile as compared to the returns of the underlying portfolio which suggests that public trading introduces an additional layer of volatility in ETFs. Factors that limit arbitrage by making it costly for the arbitrageurs to remove the price-net asset value (NAV) deviations explain about 67 per cent of the variation in excess volatility. The cointegration analysis provides evidence of a long-term equilibrium relationship between price and NAV. Vector error correction model (VECM) results suggest that NAVs lead prices to restore this equilibrium in case of short-run deviations. The analysis also revealed that ETF returns are predictable on the basis of past deviations and may be used to generate returns which are significantly greater than those of a buy-and-hold strategy. Our results are in agreement with the theory of costly arbitrage and are inconsistent with the construct of efficiency in financial markets.

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 Pricing Efficiency of Exchange Traded Funds in India

2020 ◽  
Vol 11 (1) ◽  
pp. 244-268
Author(s):  
Y V Reddy ◽  
Pinkesh Dhabolkar
Keyword(s):  
Stock Exchange ◽  
Market Price ◽  
Exchange Traded Funds ◽  
Demand And Supply ◽  
Correction Model ◽  
Vector Error Correction ◽  
Market Makers ◽  
Vector Error ◽  
Pricing Efficiency ◽  
Asset Value

Exchange traded funds (ETFs) have two prices, the market price and the net asset value (NAV) price. ETFs NAV price gets determined by the net value of the constituent assets, whereas the market price of ETFs depends upon the number of units bought or sold on the stock exchange during trading hours. As per the law of one price, the NAV and market price of the ETF should be the same. However, due to demand and supply forces, the market price may divert from its NAV. This price difference may have significant repercussions to investors, as it represents a cost if they buy overvalued ETF shares or sell undervalued ETF shares. Pricing efficiency is the speed at which the market makers correct the deviations between ETFs NAV and market price. The present study attempts to investigate the pricing efficiency of Indian equity ETFs employing an autoregression model over its price deviation, and also attempts to understand the lead-lag relationship between the price and NAV using the vector error correction model (VECM).

Co-integration Between Sensex and Other Popular Indices: A Decadal Study

2019 ◽  
Vol 8 (2) ◽  
pp. 108-117
Author(s):  
Parul Bhatia ◽  
Hemalatha Ramasubramanian
Keyword(s):  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
World Markets ◽  
The World ◽  
Integration Techniques ◽  
The Usa ◽  
Short Run

We examine the inter-relationship between India, the USA, Japan, China, France, Dubai and Germany using multivariate co-integration techniques. The study has investigated co-movements between these world indices from 2009 to 2018. During this period, it was found using Johansen co-integration that these indices were co-integrated in the long run. However, in the vector error correction model, long-run causality could not be found. Thereafter with Wald-χ2 diagnostics, it was found that short-run linkages existed among Indian and rest of the world markets in the study. Therefore, the seven indices may be concluded to have causal relationship in the short run and co-integrating association in the long run.

scholarly journals The Effect of Economic Factors on Performance of the Stock Market in the Czech Republic

2018 ◽  
Vol 66 (6) ◽  
pp. 1613-1626 ◽  
Author(s):  
Tomáš Pražák
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Economic Activity ◽  
Financial Stability ◽  
Stock Exchange ◽  
Capital Asset Pricing ◽  
Financial Assets ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

History has shown that the stock prices and other financial assets are important aspects of the dynamics of economic activity. Stock prices can be an indicator of social mood and are used as a leading factor in the economic activity and financial stability. This paper investigates the relationship between selected macroeconomic and microeconomic factors and stock prices of companies listed on the Prague Stock Exchange. The portfolio theory and Capital Asset Pricing Model for specification of stock market are used. Johansen and Juselius (1990) and Hansen (1982) approaches are applied to test for causal relationship. In addition, the Vector error correction model for equilibration of a potential long‑run relationship between variables is used. Selected macroeconomic and microeconomic factors provide a statistically significant relationship on stock prices during the observed period from 2006 to 2016. However, the results differ substantially among the sectors of economic activity, the industrial production, the gros domestic product and profitability ratios in particular, can explain a long‑run behavior of stock prices.

Enhancing Economic Growth and Government Revenue Generation in Nigeria: The Role of Diaspora Remittances

2021 ◽  
pp. 003464462110256
Author(s):  
Dal Didia ◽  
Suleiman Tahir
Keyword(s):  
Economic Growth ◽  
Parameter Estimates ◽  
Gross Domestic Product Growth ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Empirical Analysis

Even though remittances constitute the second-largest source of foreign exchange for Nigeria, with a $24 billion inflow in 2018, its impact on economic growth remains unclear. This study, therefore, examined the short-run and long-run impact of remittances on the economic growth of Nigeria using the vector error correction model. Utilizing World Bank data covering 1990–2018, the empirical analysis revealed that remittances hurt economic growth in the short run while having no impact on economic growth in the long run. Our parameter estimates indicate that a 1% increase in remittances would result in a 0.9% decrease in the gross domestic product growth rate in the short run. One policy implication of this study is that Nigeria needs to devise policies and interventions that minimize the emigration of skilled professionals rather than depending on remittances that do not offset the losses to the economy due to brain drain.

scholarly journals Do Erratic Rainfalls Hamper Grain Production? Analysis of Supply Response of Rice to Price and Non-Price Factors

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1463
Author(s):  
Ghulam Mustafa ◽  
Azhar Abbas ◽  
Bader Alhafi Alotaibi ◽  
Fahd O. Aldosri
Keyword(s):  
Unit Root Test ◽  
Rice Production ◽  
Vector Error Correction ◽  
Supply Response ◽  
Target Time ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact

Increasing rice production has become one of the ultimate goals for South Asian countries. The yield and area under rice production are also facing threats due to the consequences of climate change such as erratic rainfall and seasonal variation. Thus, the main aim of this work was to find out the supply response of rice in Malaysia in relation to both price and non-price factors. To achieve this target, time series analysis was conducted on data from 1970 to 2014 using cointegration, unit root test, and the vector error correction model. The results showed that the planted area and rainfall have a significant effect on rice production; however, the magnitude of the impact of rainfall is less conspicuous for off-season (season 2) rice as compared to main-season rice (season 1). The speed of adjustment from short-run to long-run for season-1 rice production is almost two-and-a-half years (five production seasons), while for season-2 production, it is only about one-and-a-half year (three production seasons). Consequently, the study findings imply the supply of water to be enhanced through better water infrastructure for both seasons. Moreover, the area under season 2 is continuously declining to the point where the government has to make sure that farmers are able to cultivate the same area for rice production by providing uninterrupted supply of critical inputs, particularly water, seed and fertilizers.

The Effect of Real Exchange Rate on Trade Balance in a Resource-Rich Economy: The Case of Mongolia

2018 ◽  
Vol 53 (4) ◽  
pp. 211-224 ◽  
Author(s):  
Gan-Ochir Doojav
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Trade Balance ◽  
Developing Economies ◽  
Jel Classification ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Exchange Rate Depreciation

For resource-rich developing economies, the effect of real exchange rate depreciation on trade balance may differ from the standard findings depending on country specific characteristics. This article employs vector error correction model to examine the effect of real exchange rate on trade balance in Mongolia, a resource-rich developing country. Empirical results show that exchange rate depreciation improves trade balance in both short and long run. In particular, the well-known Marshall–Lerner condition holds in the long run; however, there is no evidence of the classic J-curve effects in the short run. The results suggest that the exchange rate flexibility may help to deal effectively with current account deficits and exchange rate risk. JEL Classification: C32, C51, F14, F32

scholarly journals The spatial integration of potato wholesale markets of Uttarakhand in India

2017 ◽  
Vol 14 (2) ◽  
pp. 20-30 ◽  
Author(s):  
A Kumar ◽  
R Mishra
Keyword(s):  
Wholesale Price ◽  
Likelihood Method ◽  
Spatial Integration ◽  
Market Information ◽  
Demand And Supply ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Price Demand

This paper analyzes the spatial integration of potato markets in Uttarakhand using monthly wholesale price for ten years. The maximum likelihood method of cointegration developed by Johansen (1988) was used in the study. The dynamics of short-run price responses were examined using vector error correction model (VECM). The results indicated that five potato markets reacted on the long-run cointegrating equations while the speed of price adjustment in the short-run was almost absent. Moreover, it was found that the longer the distance between the markets, the weaker the integration was. To increase the efficiency of potato markets in Uttarakhand, there is need to focus on building an improved market information system. This system should be able to disseminate timely market information about price, demand and supply of produce to enable producers, traders and consumers to make proper production and marketing decisions.SAARC J. Agri., 14(2): 20-30 (2016)

scholarly journals Investigating Gold Investment as an Inflationary Hedge

2018 ◽  
Vol 7 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Narinder Pal Singh ◽  
Navneet Joshi
Keyword(s):  
Consumer Price Index ◽  
Wald Test ◽  
Indian Culture ◽  
Vector Error Correction ◽  
Fund Managers ◽  
Vector Error ◽  
Long Run ◽  
Short Run ◽  
Portfolio Managers ◽  
Long Run Equilibrium

Gold and Indian culture have been sharing an age-old association. India is one of the top two consumers of gold. Gold is the most popular investment avenue because of its ability to provide liquidity. The average monthly price however has grown by 1,588 percent over the whole period from 1979 to 2017 (June). In this article, we intend to investigate gold as an investment to hedge against inflation. The sample period to study the relationship between gold and inflation is 2011–2017 (March). To analyze long-run equilibrium between gold and inflation (consumer price index [CPI]), Johansen’s cointegration approach has been used. The short- and long-run causality between gold and inflation has been studied using vector error correction model (VECM) and Wald test. The results of cointegration indicate that gold and CPI series are cointegrated and bear long-run equilibrium. Both VECM and Wald test results indicate that there is only long-run causality between CPI and gold prices. However, in short run these variables do not show any causality. Thus, we infer that gold investment can be used as hedge against Inflation. The findings of this research have got direct implications for retail investors, portfolio managers, treasury and fund managers, government, and commercial traders.

Sign in / Sign up

Export Citation Format

Share Document