Dynamic diversification benefits of Sukuk and conventional bonds for the financial performance of MENA region companies: empirical evidence from COVID-19 pandemic period

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Ghaemi Asl ◽  
Muhammad Mahdi Rashidi

Purpose This study aims to investigate the spillover between the Middle East and North Africa (MENA) stock index and several security indices, including Sukuk and conventional bond, and ultimately compare the hedge effectiveness of Sukuk and conventional bond. Design/methodology/approach The study uses VAR (1)-asymmetric Baba, Engle, Kraft and Kroner-multivariate generalized autoregressive conditional heteroskedasticity (1,1) model to analyze the volatility and shock and asymmetric shock spillover between Sukuk index and several bond indices in the MENA region including, Bond, All Bond, High Yield Bond and Bond and Sukuk and MENA stock market index and ultimately compare the hedging capabilities of Sukuk and conventional bonds by calculating the optimal portfolio weights for securities indices and stock portfolios and hedge effectiveness of security indices. Findings Results indicate that there is no shock, volatility and asymmetric shock spillover between the Sukuk index and MENA stock index, implying that Sukuk indices behave independently from MENA stock indices; however, there is shock and asymmetric shock spillover between MENA stock indices and security indices that include conventional bonds. The result of optimal portfolio weights and corresponding hedge effectiveness indicate that Sukuk is the most significant asset among other security indices in diversifying and hedging stock MENA portfolios. Moreover, the hedge effectiveness of Sukuk shows persistent trends during both the normal and crisis periods. Practical implications The study suggests that MENA stock market investors and investment managers should add Sukuk instead of the conventional bond to their portfolio to hedge their portfolio against investment risks during both normal and crisis periods. Originality/value Although many studies compare many aspects of Sukuk and conventional bonds, this is the first study that compares the hedge effectiveness of Sukuk and conventional bond based on the time-varying optimal portfolio weights strategy.

Telaah Bisnis ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 57
Author(s):  
Eka Maya Sari ◽  
Tri Gunarsih

There are two considerations that investors need to notice if they want to invest in the capital market, namely, return and risk. An investor needs to diversify to gain benefits and minimize risk by forming the optimal stock portfolios. This research analyzes the differences between Islamic stock (based on JII) and non-Islamic stock (based on LQ45) stock portfolio investment using the single index model. The samples were consistently listed on the JII and LQ45 stock indices in January 2018-December 2019. There are 35 stocks for the LQ45 stock index and 25 stocks on the JII stock index. Sharia stocks' optimal portfolio comprises three stocks, while the optimal portfolio of non-Islamic stocks shall consist of four stocks. The Independent Sample T-Test was implemented to analyze the differences between the Islamic (JII) and non-Islamic (LQ45) optimal stock portfolios based on the Sharpe Ratio, Jensen Ratio, and Treynor Ratio. The results show that there is no significant difference between Islamic and non-Islamic stocks.


2019 ◽  
Vol 26 (1) ◽  
pp. 17-33
Author(s):  
Razali Haron ◽  
Salami Mansurat Ayojimi

Purpose The purpose of this paper is to examine the impact of the Goods and Service Tax (GST) implementation on Malaysian stock market index. Design/methodology/approach This study used daily closing prices of the Malaysian stock index and futures markets for the period ranging from June 2009 to November 2016. Empirical estimation is based on the generalised autoregressive conditional heteroscedasticity (1, 1) model for pre- and post-announcement of the GST. Findings Result shows that volatility of Malaysian stock market index increases in the post-announcement than in the pre-announcement of the GST which indicates that educative programs employed by the government before the GST announcement did not yield meaningful result. The volatility of the Malaysian stock market index is persistent during the GST announcement and highly persistent after the implementation. Noticeable increase in post-announcement is in support with the expectation of the market about GST policy in Malaysia. Practical implications The finding of this study is consistent with expectation of the market that GST policy will increase the price of the goods and services and might reduce standard of living. This is supported by a noticeable increase in the volatility of the Malaysian stock market index in the post-announcement of GST which is empirically shown during the announcement and after the implementation of GST. Although the GST announcement could be classified as a scheduled announcement, unwillingness to accept the policy prevails in the market as shown by the increase in the market volatility. Originality/value Past studies on Malaysian stock market index volatility focus on the impact of Asian and global financial crisis whereas this study examines the impact of the GST announcement and implementation on the volatility of the Malaysian stock market index.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faten Moussa ◽  
Ezzeddine Delhoumi

PurposeSeveral theoretical and empirical studies have shown the significant effects of economic and environmental factors on a large number of financial indicators. In this paper the authors are going to study whether the main stock market index, is impacted by the variations of the exchange rate and the interest rates.Design/methodology/approachThis paper studies the response of the index market return to fluctuations in the interest rate and the exchange rate in five countries from the MENA region (Tunisia, Morocco, Egypt, Turkey and Jordan). To investigate whether this impact exists, the authors used the non-linear autoregressive distributed lag (NARDL) model with daily data from June 1998 to June 2018.FindingsThe application of the non-linear ARDL model confirms the presence of cointegration between return index, interest rate and exchange rate. The results show that the asymmetry hypothesis is only valid for the short run which suggests that the market index is sensitive to the variation in the interest rate and exchange rate. This means that these macroeconomic factors play an important role in the MENA region stock markets.Originality/valueThe findings confirm that the index returns in the MENA region stock markets are related to macroeconomic fundamentals such as the exchange rate and the real interest rate. The reaction of some indices is sensitive to whether the shocks are positive or negative. This finding may help investors to choose their strategies starting from these changes. Accordingly, policy makers must pay attention to the development progress of stock market.


2019 ◽  
Vol 6 (02) ◽  
Author(s):  
Rony Mahendra ◽  
Erwin Dyah Astawinetu

The research objective is to establish an optimal portfolio and know the difference between risk and return stock index portfolio candidates and non-candidates. Method used in the preparation of this research portfolio is the single index model, while the samples of this study are active world stock indices version of The Wall Street Journal during the period August 2012 - August 2016 and The Global Dow is used as the benchmark stock index. In establishing the optimal portfolio is used two perspectives: the Rupiah perspective and the U.S. Dollar perspective. The results showed there were three stock indices from the perspective of Rupiah and 8 share index menurutperspektif U.S. Dollar that make up the optimal portfolio, with the cut-of-pointsebesar 0,01393menurut Rupiah perspective and the perspective of 0.0078 US Dollars Based on the perspective of return expectations Rupiah obtained by 0.0258 with a risk of 0.06512. Berdarkan perspective of US Dollars, obtained return expectations at 0.0154 with a risk of 0.0292. From the test results showed that the hypothesis, the return on both perspectives there are significant differences between the index of the candidate, with a non-candidate. Then the risk of stock index, among the candidates, with a non-candidate, the Rupiah perspective there is no difference, but in the perspective of US Dollars, there are significant differences.Keywords: Single Index Model, candidate portfolio, optimal portfolio, expected return, excess return to beta, cut-off-point


2016 ◽  
Vol 9 (2) ◽  
pp. 123-146 ◽  
Author(s):  
Kim Hiang Liow

Purpose This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014. Design/methodology/approach The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology. Findings There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered. Research limitations/implications The research is subject to the usual limitations concerning empirical research. Practical implications This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors. Originality/value In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.


2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.


2021 ◽  
Vol 29 (1) ◽  
pp. 50-66
Author(s):  
Shafiu Ibrahim Abdullahi

PurposeThe purpose of the study is to measure cross-country stock market correlation and volatility transmission during the global coronavirus disease 2019 (COVID-19) pandemic. The paper traces trajectory of Islamic equity investments in order to get insights on the behavior of the markets during the crisis.Design/methodology/approachThe paper uses generalized method of moments (GMM), autoregressive distributed lag (ARDL) and multivariate GARCH (MGARCH) models for analysis of dynamic causality, stock market cointegration, correlation and volatility transmission between Islamic stock indices.FindingsThe result of normal correlation analysis on the share indices show the markets move together. The result of ARDL cointegration test shows the markets returns are cointegrated as a group. To further make sense of the data; the indices were grouped into four different categories, then cointegration tests were conducted. The results of the analysis show that the subgroups are cointegrated except the low COVID-19 subgroup. Based on MGARCH findings, the possibility of volatility transmission between markets during the crisis is high. The market returns indices show the usual herd mentality common during the period of crisis.Originality/valueUnlike other works in this area, this paper attempt to trace the trajectory of Islamic equity investment in order to get relevant insights and arrives at appropriate ways of responding to the crisis.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustapha Ishaq Akinlaso ◽  
Aroua Robbana ◽  
Nura Mohamed

Purpose This paper aims to investigate the risk-return and volatility spillover within the Tunisian stock market during the COVID-19 pandemic analyzing both the Islamic and conventional stocks’ performance. Design/methodology/approach Both symmetric (GARCH and GARCH-M) and asymmetric (Threshold GARCH and Exponential GARCH) models are used to analyze the market returns and volatility response. Standard and Poor’s (S&P) index has been used to test both the Islamic and conventional stocks within the Tunisian stock market. Findings The findings suggest that both Tunisia Islamic and conventional stock markets are highly persistent; however, the conventional stock index showed a negative return spillover on the Islamic stocks during the pandemic. The conventional stock index has also shown a higher exposure to risk for a lower amount of return, and evidence of potential diversification benefit between both indexes was found during the pandemic, whereas the Islamic market showed a positive leverage effect, indicating a positive correlation between past return and future return; the conventional index implied a negative leverage effect. Originality/value The value of this paper emerges in studying three main aspects that are specific to the Tunisian stock market. This includes COVID-19 effect of return spillovers, volatility transmission across both conventional and Islamic stock market within the local financial market.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huabing Wang ◽  
Anne Macy

PurposeThis paper analyzes the effect of corporate tax cuts on the competitiveness of the tax-cutting countries and neighbor countries.Design/methodology/approachThis study utilizes four significant corporate tax reforms among the OECD countries in Europe that offer a one-time tax cut of 6% or more. The short-term event study approach examines the stock index reactions for both the tax-cutting countries and the other countries. Multivariate fixed-effect regressions are employed to study the cross-sectional variations in the non-tax-cut countries.FindingsThis paper finds positive excess returns for Slovakia and Germany around the tax-cut passage. Multivariate analysis of stock market reactions of the non-tax-cutting countries reveals some evidence supporting both the positive spillover effect and the negative competitive loss effect. More advanced countries are more likely to experience higher abnormal returns, while higher tax countries are more likely to suffer lower abnormal returns. Other factors identified that might have influenced the effect of a foreign tax cut include the existing trade flows with the tax-cutting countries, whether the country has a common currency and the export orientation of the economy.Research limitations/implicationsThe findings are subject to sample-size issues. The lack of results for the other two countries is due to complicating events, as suggested by the further investigation of concurrent news events around the event days.Practical implicationsThe simultaneous analysis of the reform countries and the other countries in the region suggests that policymakers need to consider the relative positioning of their country vs the other countries in terms of economic development and current tax burdens when determining the optimal policy for their country or to respond to the tax policy changes in the other countries.Originality/valueThis study offers empirical evidence regarding the effect of corporate tax changes on competitiveness through the lens of stock markets' reactions, which depend on the net results of the spillover gain vs the competitive loss.


2017 ◽  
Vol 10 (3) ◽  
pp. 450-467 ◽  
Author(s):  
Peter Öhman ◽  
Darush Yazdanfar

Purpose The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices. Design/methodology/approach Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden. Findings The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks. Originality/value To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.


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