scholarly journals Does an Exchange-Traded Fund Converge to its Benchmark in the Long Run? Evidence from Ishares MSCI in Asia-Pacific Countries

2021 ◽  
Vol 9 (4) ◽  
pp. 389-402
Author(s):  
Kok-Leong Yap ◽  
Wee-Yeap Lau ◽  
Izlin Ismail
Keyword(s):  
Tracking Error ◽  
Asia Pacific ◽  
Exchange Traded Funds ◽  
Stock Selection ◽  
Market Returns ◽  
Fund Managers ◽  
Long Run ◽  
New Information ◽  
Short Run ◽  
Exchange Traded Fund

This study examines the linkages between exchange-traded funds (ETFs) and their benchmark indices from 2013 to 2019 using iShares MSCI of ten Asia-Pacific countries. Our results show, first, that there is a long-run causality running from the benchmark index to ETFs. These findings imply that ETFs may replicate the performance of the benchmark index over the long run. Second, there is a unidirectional causal relationship from ETFs to the benchmark index in the short run, which indicates that benchmark index prices respond to the short-run changes in the ETF prices when new information is available. Third, there is a significant tracking error between ETFs and the benchmark index. This finding justifies the existence of stock selection and market timing abilities among the ETF managers. Lastly, fund managers add value to the ETFs and generate better than the market returns. This paper provides new evidence to support this new stylized fact of ETFs.

International diversification among Islamic investments: is there any benefit

2014 ◽  
Vol 40 (6) ◽  
pp. 613-633 ◽  
Author(s):  
Mejda Bahlous ◽  
Rosylin Mohd. Yusof
Keyword(s):  
Structural Dynamics ◽  
North American ◽  
International Diversification ◽  
Asia Pacific ◽  
Impulse Response Functions ◽  
Mena Region ◽  
Content Type ◽  
Fund Managers ◽  
Long Run ◽  
Short Run

Purpose – The purpose of this paper is to assess the benefits to investors of international diversification among only Islamic funds. Compared to conventional investors who are not restricted in their choice of funds, Islamic investors are restricted to investing in shari’a-compliant funds, thus giving up some diversification benefits. The possibility of international diversification among only Islamic funds may thus help Islamic investors to invest in accordance to their religious beliefs and still benefit from diversification. Design/methodology/approach – The paper assesses the benefits of diversification by analyzing the extent of co-integration among four regional Islamic funds and by estimating the short-term and long-term structural dynamics of and among these funds. The paper uses an Autoregressive-Distributed Lag (ARDL) approach to testing the long-run relationships among these funds and use variance decomposition and impulse response functions to examine the structural dynamics of the relationship between these funds. These methods can also be used for predictive purposes and represent, in authors opinion, a useful approach that complements the traditional methodology of static covariance matrix to find the efficient frontier at a given moment in time. Findings – The results indicate that international diversification can help reduce risk if Asia Pacific Islamic funds and MENA region Islamic funds are invested contemporaneously and/or Asia Pacific Islamic funds and North America Islamic funds, and/or Europe funds and MENA funds. The paper also finds that investors would benefit from investing in North American funds and MENA funds both in the long run and in the short run. Conversely, the paper finds that Europe funds and North American funds are co-integrated in the long-run precluding the opportunity for substantial diversification benefits from these particular portfolio mixes. Research limitations/implications – The long-run analysis helps passive fund managers and investors in composing their portfolio by providing evidence that some portfolio mixes of different regional Islamic funds lead to better risk return performance than one regional Islamic fund portfolios. The short-run analysis however helps the active fund managers and investors as it suggests that diversifying in the short run and reviewing their portfolio on a regular basis would be beneficial as well. Originality/value – This analysis justifies the promotion of Islamic finance as the negative correlation between several Islamic funds across the regions studied suggests better opportunities of investments via international diversification making Islamic funds more desirable.

scholarly journals Risk, return & performance evaluation of selected mutual fund schemes – a study on large & mid cap funds

2012 ◽  
Vol 1 (4) ◽  
pp. 348-362
Author(s):  
Krunal K Bhuva ◽  
Ashok R. Bantwa
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Academic Research ◽  
Fund Performance ◽  
Stock Selection ◽  
Market Returns ◽  
Fund Managers ◽  
Risk Return ◽  
Long Run ◽  
Better Than

This paper studies the persistence of mutual fund performance. Academic research oftenfocuses on fund returns. This study intends to examine the performance of selected Large cap and Mid capmutual fund schemes of Indian Mutual fund industry during the study period 2007 to 2011. The performanceof selected schemes is evaluated in terms of average returns, systematic risk, and unsystematic risk and byusing different measures like: Sharpe, Jenson, Treynor and FAMA. After detailed analysis it is found thatexcept two all the sampled schemes have performed better than market. Supporting the establishedrelationship of high risk - high return, better performing schemes are exposed to higher risk. The findings alsorevealed that majority of the schemes were adequately diversified and about 60% of the schemes were able tobeat the market with help of better stock selection skill of fund managers. Finding from the t-test calculationsshows that there is no difference between returns from large cap mid cap mutual funds in long run. From thereturn comparison of mutual funds and market, in 2008 & 2011 large cap are underperforming than marketand in 2011 only mid cap mutual funds are showing less return than market returns.

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.

scholarly journals Effects of Exchange Rate and Inflation Rate on Stock Market Returns Volatility in India.

2020 ◽  
Author(s):  
Nenavath Sre ◽  
Suresh Naik
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Error Correction ◽  
Inflation Rate ◽  
Market Returns ◽  
Stock Market Returns ◽  
Positive Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Abstract The paper investigates the effect of exchange and inflation rate on stock market returns in India. The study uses monthly, quarterly and annual inflation and exchange rate data obtained from the RBI and market returns computed from the Indian share market index from January, 2000 to June, 2020.The paper uses the autoregressive distributed lag (ARDL) co-integration technique and the error correction parametization of the ARDL model for investigating the effect on Indian Stock markets. The GARCH and its corresponding Error Correction Model (ECM) were used to explore the long- and short-run relationship between the India Stock market returns, inflation, and exchange rate. The paper shows that there exists a long term relationship but there is no short-run relationship between Indian market returns and inflation. But, there is periodicity of inflation monthly considerable long run and short-run relationship between them existed. The outcome also illustrates a significant short-run relationship between NSE market returns and exchange rate. The variables were tested for short run and it was significantly shown the positive effects on the stock market returns and making it a desirable attribute of which investors can take advantage of. This is due to the establishment of long-run effect of inflation and exchange rate on stock market returns.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

Money and Household Consumption Expenditure in Developing Asia: Some Panel ARDL Evidence

2021 ◽  
pp. 001946622110624
Author(s):  
Ghanashyama Mahanty ◽  
Himanshu Sekhar Rout ◽  
Swayam Prava Mishra
Keyword(s):  
Economic Growth ◽  
Interest Rates ◽  
Household Consumption ◽  
Asia Pacific ◽  
Consumption Expenditure ◽  
Data Set ◽  
Final Consumption ◽  
Long Run ◽  
Short Run

The role of money in influencing real economic activities has been a long-standing debate in macroeconomics. As per the Keynesian theory, household consumption expenditure plays a significant role in promoting economic growth. Given the rapid consumption-led growth pattern in the emerging Asia Pacific region, in this article, we attempt to assess the role of money in influencing household consumption expenditure, which propels economic growth. We employ a panel data set from 2005–2018 for 10 emerging Asian economies, covering Bangladesh, Cambodia, India, Indonesia, Malaysia, Pakistan, Philippines, Sri Lanka, Thailand and Vietnam. Given the region’s heterogeneous nature, we employ a variant of the popular St Louise equation model with autoregressive distributed lag model (ARDL) panel framework based on pooled mean group (PMG) and dynamic fixed effect (DFE) models developed by Pesaran and Shin to study the underlying relationships. Both PMG and DFE models suggest a strong positive relationship between money and household consumption expenditure both in the long run and short run. After allowing for control variables such as government final consumption expenditure and interest rate, the relationships continue to hold steady. Further, the relationship holds true across both narrow (M1) and broad money (M3) measures. The government final consumption expenditure and interest rates do not have influence on household consumption expenditure in the long run, but they have an influence in the short run. JEL Codes: C23, O16, O47, E51, E31, E21

Stock Market Responses to Monetary and Fiscal Policies

2022 ◽  
pp. 266-282
Author(s):  
Elif Erer ◽  
Deniz Erer
Keyword(s):  
Stock Market ◽  
Fiscal Policies ◽  
Market Returns ◽  
Monetary Policies ◽  
Stock Market Returns ◽  
Long Run ◽  
Stock Market Performance ◽  
Short Run ◽  
Effect Hypothesis ◽  
Positive Effect

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.

scholarly journals Effects of Interest Rate on Stock Market Returns in Kenya

2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Moving Average ◽  
Market Returns ◽  
Treasury Bills ◽  
Stock Market Returns ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.

scholarly journals Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?

2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Oil Prices ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Adf Test

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.

scholarly journals Gold Exchange Traded Fund - Price Discovery and Performance Analysis

2018 ◽  
Vol 65 (4) ◽  
pp. 477-495
Author(s):  
Mathew Mallika ◽  
M. M. Sulphey
Keyword(s):  
Price Discovery ◽  
Tracking Error ◽  
Spot Price ◽  
Exchange Traded Funds ◽  
Vector Error Correction ◽  
Spot Prices ◽  
Deviation Analysis ◽  
Vector Error ◽  
And Performance ◽  
Exchange Traded Fund

Abstract The paper aims to examine the price discovery process and the performance of Gold Exchange Traded Funds especially with respect to two Gold ETFs, namely, Goldman Sachs Gold Exchange Traded Scheme (GoldBeEs) and SBI Gold Exchange Traded Scheme (SBIGETS), for the period 2009 – 2016. The study has employed Johansen cointegration and Johansen’s Vector Error Correction Model (VECM) for the price discovery analysis. The results of VECM reveal that the spot prices lead the Gold ETFs price during the study period. Tracking Error analysis shows that Gold ETFs have neither outperformed nor underperformed the spot price. Price Deviation analysis indicates that Gold ETFs are trading on an average lower than the spot price of gold. The entire analysis reveals that although the price discovery takes place in the spot market, Gold ETFs have performed as well as physical gold and the slight difference in price with that of Gold is only because of certain fees, which are applicable in the management of Gold ETFs.

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