scholarly journals IMPACT OF COVID-19 ON ISLAMIC AND CONVENTIONAL STOCKS IN INDONESIA: A WAVELET-BASED STUDY

2021 ◽  
Vol 24 ◽  
pp. 15-32
Author(s):  
Mohsin Ali ◽  
Urooj Anwar ◽  
Muhammad Haseeb

The recent literature shows that COVID-19 has impacted stock markets around the world in many ways. In this paper, we examine the reaction of the Indonesian stock market to COVID-19. We apply the continuous wavelet coherence methodology to daily COVID-19 related deaths and daily conventional and Islamic stock indices inIndonesia. We find that COVID-19 negatively impacts the returns of both indices and enhances their volatility. We find the Islamic stock index to be more volatile as compared to its conventional counterpart during the COVID-19 outbreak.

2021 ◽  
Vol 3 (2) ◽  
pp. 143-151
Author(s):  
Stefany Cindy Sugiyanto ◽  
Robiyanto Robiyanto

The Covid-19 pandemic has an impact on the world economy especially on the stock mar-ket, thus the aim of this study is to determine whether there is dynamic integration be-tween the stock markets in Indonesia with the capital market in Asia and in the world during Covid-19 pandemic. This study uses return data from the closing price of 12 stock indices, namely ASX, DOWJONES, FTSE, HANGSENG, IHSG, KLSE, KOSPI, NIK-KEI, PSEI, SET, STI, and TAIWAN from January to December 2020 that have been ana-lyzed using DCC-GARCH. The results showed that the stock markets of both Indonesia, Asia and the world were dynamically integrated due to the global crisis of the Covid-19 pandemic. The results showed that there was a contagion effect on the stock market that occurred during the period when the Covid-19 pandemic crisis occurred. This research can be a reference for investors who want to invest in stocks in Indonesia during the Covid-19 pandemic. DOI: https://doi.org/10.26905/afr.v3i2.551


2021 ◽  
Vol 18 (4) ◽  
pp. 223-240
Author(s):  
Inna Shkolnyk ◽  
Serhiy Frolov ◽  
Volodymyr Orlov ◽  
Viktoriia Dziuba ◽  
Yevgen Balatskyi

Viewing the development of the stock market in Ukraine, the economy, which world financial organizations characterize as small and open, is largely determined by the trends formed by the global stock markets and leading stock exchanges. Therefore, the study aims to analyze Ukraine’s stock market, the world stock market, stock markets in the regions, and to assess their mutual influence. The study uses the data of the World Federation of Exchanges and National Securities and Stock Market Commission (Ukraine) from 2015 to 2020. Stock market performance forecasts are built using triple exponential smoothing. Based on pairwise correlation coefficients, the existence of a significant dependence in the development of the world stock market on the development of the American stock market was determined. Regarding the Ukrainian stock exchanges, only SE “PFTS” demonstrated its dependence on the US stock market. The results of the regression model based on an exponentially smoothed series of trading volumes in all markets showed that variations in the volume of trading on the world stock market are due to the situation on the US stock markets. Trading volume dynamics on Ukrainian stock exchanges such as SE “PFTS” and SE “Perspektiva” is almost 50% determined by the development of stock markets in the American region. Although Ukraine is geographically located in Europe, the results show a lack of significant links and the impacts of stock markets in this region on the major Ukrainian stock exchanges and the stock market as a whole.


2016 ◽  
Vol 12 (1) ◽  
pp. 188
Author(s):  
T. P. Ghosh

Oil dependent economies of GCC countries had passed through various cycles of boom and trough of oil price. In the aftermath of the economic recession of 2008 and oil price, the GCC countries have been pursuing plans for diversifying to non-oil revenues. The oil of 2014-16 raised the issue of stock market cointegration to oil price movement in the background of non-oil diversification.This research study analyzes long term cointegration of oil price and GCC stock indices, and also cointegration among the GCC stock indices per se in an attempt to investigate if there is any early sign of disintegration of GCC stock markets from oil price cyclicality. The study period is linked to cyclicality of oil price: the first period comprising of Jan 2006- Dec. 2011 that covers oil price cycle during economic recession of 2008, and the second period comprising of Jan 2012 –September 2016 which covers the post-economic recession oil price cycle. The null hypotheses is that oil price and stock market indices are co-integrated.Based on Johansen Cointegration test on Box Cox transformed data of oil price and seven stock market indices of GCC countries, it is found that oil price and GCC stock markets are co-integrated. Analysis using Augmented Dickey- Fuller test and Phillips –Perron test shows that data series are all I (1). This study establishes that efforts to reduce oil dependency in GCC countries is yet to result in decoupling of financial markets from oil price cyclicality. This study also establishes that GCC stock markets per se are co-integrated but factors of cointegration beyond oil price are not explored.


Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.


2020 ◽  
Vol 157 ◽  
pp. 04034
Author(s):  
Anna Slobodianyk ◽  
George Abuselidze ◽  
Lyudmyla Tarasovych

The article is devoted to structuring and improving the methodological foundations of the mechanism of state regulation of the stock market. Priority directions for the development of the stock market are determined in order to strengthen its role in stabilization of the national economy. As a result, a structural and functional model of stock market operation in the system of economic development of the country was elaborated. It involves ensuring the legitimate access of national companies to the global stock markets while attracting foreign investors to the Ukrainian stock market. The authors argue that the mechanism of the national stock market integration involves several stages: from enhancing international cooperation primarily with the stock markets of countries that are strategic partners, subsequent full participation in regional and subregional integration associations of stock markets, up to global integration in the world stock market as a priority direction for the development of the domestic stock market in the context of stabilization of the national economy.


2019 ◽  
Vol 69 (2) ◽  
pp. 273-287 ◽  
Author(s):  
Florin Aliu ◽  
Besnik Krasniqi ◽  
Adriana Knapkova ◽  
Fisnik Aliu

Risk captured through the volatility of stock markets stands as the essential concern for financial investors. The financial crisis of 2008 demonstrated that stock markets are highly integrated. Slovakia, Hungary and Poland went through identical centralist economic arrangement, but nowadays operate under diverse stock markets, monetary system and tax structure. The study aims to measure the risk level of the Slovak Stock Market (SAX index), Budapest Stock Exchange (BUX index) and Poland Stock Market (WIG20 index) based on the portfolio diversification model. Results of the study provide information on the diversification benefits generated when SAX, BUX and WIG20 join their stock markets. The study considers that each stock index represents an independent portfolio. Portfolios are built to stand on the available companies that are listed on each stock index from 2007 till 2017. The results of the study show that BUX generates the lowest risk and highest weighted average return. In contrast, SAX is the riskiest portfolio but generates the lowest weighted average return. The results find that the stock prices of BUX have larger positive correlation than the stock prices of SAX. Moreover, the highest diversification benefits are realized when Portfolio SAX joins Portfolio BUX and the lowest diversification benefits are achieved when SAX joins WIG20.


2016 ◽  
Vol 15 (3) ◽  
pp. 333-361 ◽  
Author(s):  
Muneer Shaik ◽  
S. Maheswaran

We document the presence of the random walk effect in stock indices and, at the same time, find that the constituent stocks of the indices are excessively volatile. This gives rise to a paradox in stock markets between the behaviour of the stock index and its constituent stocks. We address this phenomenon in this article and reconcile the seemingly contradictory inferences by extending the Binomial Markov Random Walk (BMRW) model. JEL Classification: C15, C58, G15


2013 ◽  
Vol 12 (3) ◽  
pp. 65-76 ◽  
Author(s):  
Rohini Mariappan ◽  
Nikita Hari

Complete unpredictability and the contagion effect of stock markets could pose significant challenges for the entire financial markets of the world. Moreover, it is an incontrovertible truth that the variations in stock market indices is an integral part of the dynamics of economic activity and can propel social moods and expectations. In fact, the stock market has predicted 10 out of the last 3 recessions.


2020 ◽  
Vol 4 (2) ◽  
pp. 22-23
Author(s):  
Sunjida Haque ◽  
Tanbir Ahmed Chowdhury

The world's big economies are roiled and going under a devastating threat amid the impact of the COVID-19 pandemic. No country will be safe as this virus will eventually outbreak everywhere, regardless of how countries prepare to avoid it. The economic ramification as well as the stock market crisis will be uncertain due to the extended suspension of economic activities in almost every country. No wonder, the clattered stock markets of Bangladesh which have already got the adjective of “the worst stock market in the world” because of inefficient and irrational fluctuations in previous years will experience a colossal crisis due to the pandemic. The article provides an investigation on comparable analysis of the impact on stock markets of Bangladesh, Dhaka stock exchange, and Chittagong stock exchange, before and after the pandemic situation with current market data. We also examine the potential consequence of policy interventions to the market and the investors during a pandemic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ghulame Rubbaniy ◽  
Ali Awais Khalid ◽  
Muhammad Faisal Rizwan ◽  
Shoaib Ali

Purpose The purpose of this study is to investigate safe-haven properties of environmental, social and governance (ESG) stocks in global and emerging ESG stock markets during the times of COVID-19 so that portfolio managers and equity market investors could decide to use ESG stocks in their portfolio hedging strategies during times of health and market crisis similar to COVID-19 pandemic. Design/methodology/approach The study uses a wavelet coherence framework on four major ESG stock indices from global and emerging stock markets, and two proxies of COVID-19 fear over the period from 5 February 2020 to 18 March 2021. Findings The results of the study show a positive co-movement of the global COVID-19 fear index (GFI) with ESG stock indices on the frequency band of 32 to 64 days, which confirms hedging and safe-haven properties of ESG stocks using the health fear proxy of COVID-19. However, the relationship between all indices and GFI is mixed and inconclusive on a frequency of 0–8 days. Further, the findings do not support the safe-haven characteristics of ESG indices using the market fear proxy (IDEMV index) of COVID-19. The robustness analysis using the CBOE VIX as a proxy of market fear supports that ESG indices do not possess safe-haven properties. The results of the study conclude that the safe-haven properties of ESG indices during the ongoing COVID-19 pandemic is contingent upon the proxy of COVID-19 fear. Practical implications The findings have important implications for the equity investors and assetty managers to improve their portfolio performance by including ESG stocks in their portfolio choice during the COVID-19 pandemic and similar health crisis. However, their investment decisions could be affected by the choice of COVID-19 proxy. Originality/value The authors believe in the originality of the paper due to following reasons. First, to the best of the knowledge, this is the first study investigating the safe-haven properties of ESG stocks. Second, the authors use both health fear (GFI) and market fear (IDEMV index) proxies of COVID-19 to compare whether safe-haven properties are characterized by health fear or market fear due to COVID-19. Finally, the authors use the wavelet coherency framework, which not only takes both time and frequency dimensions of the data into account but also remains unaffected by data stationarity and size issues.


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