scholarly journals Corruption and stock market development in EAP countries

2020 ◽  
Vol 17 (2) ◽  
pp. 266-276
Author(s):  
Phuong Lai Cao Mai

Using macroeconomic factors as control variables, this paper examines the impact of corruption on the development of the stock market in East Asia and the Pacific (EAP) from 2008 to 2018. The research model uses GMM techniques to estimate panel data on two sub-sets of data, including five developed markets and seven emerging markets, and a dataset of both market groups. The market capitalization and the stock transaction value relative to GDP represent the development of the stock market, and the corruption control index represents the corruption factor. The empirical results found that corruption has a positive impact on the EAP stock market capitalization with the entire sample data set, which positively affects both size of the market capitalization value and value of stock transactions in underdeveloped markets. However, it is not statistically significant in explaining the development of developed stock markets. Besides, macroeconomic factors such as inflation, interest rates, savings, and credit affect some stock markets at EAP. Compared to previous studies, the article’s results found that corruption affects stock market capitalization and has a positive impact on stock liquidity in underdeveloped stock markets. Corruption affects more underdeveloped stock markets than developed stock markets. This may be due to the implicit relationship of economic benefits between large enterprises and officials in underdeveloped markets.

2021 ◽  
Vol 7 (3) ◽  
pp. 118-126
Author(s):  
Lidiya Yemelyanova

The stock markets of most CEE countries have been actively developing and improving over the past decades but they still do not belong to the developed markets according to MSCI classification, the financial systems of these countries tends towards the bank-oriented type. Does the level of stock market development affect economic growth in CEE countries and do these countries need to develop their stock markets accordingly? The purpose of this article is to identify the direction of the causal link between stock market development, banking sector development and economic growth in Central and Eastern European (CEE) countries. The subject of the research is the relationship between the stock market development, banking sector development and economic growth in the CEE countries. Methodology. The research is based on the annual data for two time periods 1999-2012 and 1999-2015 for the 8 and 5 CEE countries, respectively. The study is based on the Granger causality test and linear regression models. According to results of the research the stock market development plays an important role in attracting foreign direct investment and economic growth in CEE countries in the long-run period. There are revealed the channels of indirect influence of the stock market capitalization on the economic growth. Stock market capitalization has impact on the banking sector and gross capital formation, which in turn have impact on the economic growth of CEE countries. There is the impact of both the stock market and the banking sector development on the economic growth in CEE countries during 1999-2015. However, the impact of the stock market size on the economic growth is positive and the impact of domestic credit to private sector is negative. Practical implications. The study proves the reasonable need for the CEE countries to move towards further development of the stock market, improving the market infrastructure and institutional environment in order to expand the size of the stock market and thereby contribute to the economic growth of this countries. Value/originality. The obtained conclusion about the role of the stock market in economic growth and attraction of FDI is of great importance both for Ukraine and other countries with similar trajectory of economic development in general and similar historical aspects of the origin of stock markets in particular and should be taken into account by state leaders when making decisions on the need to create conditions for development of such element of the country’s financial system as the stock market.


2019 ◽  
Vol 5 (2) ◽  
pp. 157-175 ◽  
Author(s):  
Abdullah Alqahtani

This study employed the non-structural VAR econometrics approach to examine the impact of Global Oil (OVX), Financial (VIX), and Gold (GVZ) volatility indices on GCC stock markets using a daily data set spanning from January 5, 2009 to August 16, 2018. From the VAR result obtained, disequilibrium in the global financial volatility (VIX) was able to significantly transmit negative shock to Bahrain and Kuwait stock markets and positive shock on GVZ. While the global Gold volatility was capable of transmitting fairly positive shock to the UAE and VIX market. The OLS also revealed more to the result obtained from VAR as it shows that OVX and VIX can have impact on the GCC stock markets. The causality test revealed that there is a unidirectional causality running from Qatar and UAE to OVX; none of the variables was able to granger cause VIX, while unidirectional causality exist from VIX and UAE to GVZ and VIX and Qatar to Bahrain. VIX and Qatar can granger cause Kuwait stock market, and only Saudi Arabia and Oman have bidirectional causality. Unidirectional causality exists from Saudi Arabia to Qatar, and Qatar is the only stock market capable of causing UAE unidirectionally. Hence, the study concludes that VIX and GVZ are capable of transmitting shocks to three of the six GCC stock markets—(Bahrain, Kuwait and The UAE) negatively (Bahrain and Kuwait) and positively (The UAE). And on this note, the study recommends that appropriate financial and gold transaction policies should be institutionalized so as to mitigate the transmission of shocks into the markets. Also, financial and gold experts who regulate the stock and gold markets especially in Bahrain and Kuwait should watch for any abnormality changes in the volatility movement of the financial and gold markets.


2012 ◽  
Vol 9 (4-3) ◽  
pp. 279-308 ◽  
Author(s):  
Anne Anderson ◽  
Parveen P. Gupta ◽  
Andrey Zagorchev

We investigate the impact of continuous measures of the financial system and investor protection on the corporate governance-performance relationship. We find that shareholder suits rights/stock market capitalization (disclosure rights/stock market capitalization) has monotonic (non-monotonic) relation with firm performance and that high-levels of stock market capitalization and investor protection generate valuation synergies. Besides interactions of financial and legal systems with corporate governance, market- (bank-) orientation and development and stronger (weaker) investor protection along with better (worse) corporate governance are associated with higher (lower) valuations. A country’s migration to a developed stock market with enhanced investor protection is related to better corporate governance and firm performance.


2020 ◽  
Vol 6 (1) ◽  
pp. 33-52
Author(s):  
Areeba Khan ◽  
Imran Sharif Chaudhry ◽  
Sohail Saeed ◽  
Muhammad Kamran Shahid

This paper aims to examine stock market with a capacity building perspective for economic growth, focusing on the factors that enhance stock market capitalization in the long term. This study evaluates cross country series data of 26 emerging countries listed at MSCI index, through a period of 2006 to 2019. The data were collected through World Bank, Pakistan Stock Exchange and SECP database. Vector Error correction model and Multiple Regression analysis were applied on data to analyze the impact of assorted factors on stock market capitalization to GDP as a measure of long term capacity. The findings suggest that political stability and corporate tax rate are two important factors that may have significant impact on stock market capitalization to GDP. This research is different from all past researches with respect to methodological, aeon and acclimatization perspective. Capacity building is a relatively new phenomenon adopted from complex adaptive ecosystems and most studies in this area are of theoretical nature. Moreover, the fact that this research has considered not only the long term but also short-term market capitalization perspective, adds to its overall value and originality.


2020 ◽  
Vol 13 (11) ◽  
pp. 16
Author(s):  
Nader Alber ◽  
Amr Saleh

This paper attempts to investigate the effects of 2020 Covid-19 world-wide spread on stock markets of GCC countries. Coronavirus spread has been measured by cumulative cases, new cases, cumulative deaths and new deaths. Coronavirus spread has been measured by numbers per million of population, while stock market return is measured by Δ in stock market index. Papers conducted in this topic tend to analyze Coronavirus spread in the highly infected countries and focus on the developed stock markets. Countries with low level of infection that have emerging financial markets seem to be less attractive to scholars concerning with Coronavirus spread on stock markets. This is why we try to investigate the GCC stock markets reaction to Covid-19 spread.   Findings show that there are significant differences among stock market indices during the research period. Besides, stock market returns seem to be sensitive to Coronavirus new deaths. Moreover, this has been confirmed for March without any evidence about these effects during April and May 2020.


Author(s):  
Thuan Nguyen ◽  
Loc Tram ◽  
Nguyễn Thanh Liêm

Capital structure is one of the topics in which business managers as well as academics are always interested, because it has many important implications. This problem in developing countries is even more relevant due to the low level of financial development in these countries, leading to uncertain access to external capital by firms. This paper focuses on the impact of stock market development on capital structure in five developing countries in ASEAN, namely Indonesia, Malaysia, Philippines, Thailand and Vietnam, for the period 2010 - 2018. Stock market development is measured in four different ways: Stock market capitalization to GDP (MACAP), total value of shares traded to GDP (LIQ1), total value of shares traded to stock market capitalization (LIQ2) and average of the three indexes (STOCK). The results show that development of stock market has different impacts on capital structure, depending on the measures used to reflect the stock market development. Specifically, MACAP, LIQ2 and STOCK do not reach statistical significance, while LIQ1 has a negative effect. In addition, firm size (SIZE), tangible assets (TANG), growth opportunities (TOBINQ), inflation (INF) and GDP growth (GDPGR) positively affect capital structure; while firms' profit (ROA) has negative effect. Based on the research findings, the research offers several implications for relevant stakeholders.


2020 ◽  
Vol 21 (6) ◽  
pp. 1561-1592
Author(s):  
Cristi Spulbar ◽  
Jatin Trivedi ◽  
Ramona Birau

The main aim of this paper is to investigate volatility spillover effects, the impact of past volatility on present market movements, the reaction to positive and negative news, among selected financial markets. The sample stock markets are geographically dispersed on different continents, respectively North America, Europe and Asia. We also investigate whether selected emerging stock markets capture the volatility patterns of developed stock markets located in the same region. The empirical analysis is focused on seven developed stock market indices, i.e. IBEX35 (Spain), DJIA (USA), FTSE100 (UK), TSX Composite (Canada), NIKKEI225 (Japan), DAX (Germany), CAC40 (France) and five emerging stock market indices, i.e. BET (Romania), WIG20 (Poland), BSE (India), SSE Composite (China) and BUX (Hungary) from January 2000 to June 2018. The econometric framework includes symmetric and asymmetric GARCH models i.e. EGARCH and GJR which are performed in order to capture asymmetric volatility clustering, interdependence, correlations, financial integration and leptokurtosis. Symmetric and asymmetric GARCH models revealed that all selected financial markets are highly volatile, including the presence of leverage effect. The stock markets in Hungary, USA, Germany, India and Canada exhibit high positive volatility after global financial crisis.


2021 ◽  
Vol 16 (11) ◽  
pp. 33
Author(s):  
Nagendra Marisetty ◽  
M. Suresh Babu

The present research study examined the impact of different dividend rate announcements on stocks prices in the Indian stock market. Stocks selected from S&P BSE 500 index and study period from 2008 – 2017. The sample used for this study is 1755 pure cash dividend announcements (492 large-caps, 425 mid-caps, and 838 small-caps). Dividend rates are classified into six classifications to test the stocks' abnormal returns to different dividend classifications. Event methodology market model used to calculate Average Abnormal Returns (AAR) and Cumulative Average Abnormal Returns (CAAR). The results were observed twenty-one times based on market capitalization and dividend rate wise for a final dividend announcement. The results of the study are not the same for different dividend rate classifications and different market capitalizations. The study found positive abnormal returns on event day in most of the classifications, and it is similar to Litzenberger and Ramaswamy (1982), Asquith and Mullins Jr (1983), Grinblatt, Masulis and Titman (1984), Chen, Nieh, Da Chen, and Tang (2009) and many previous research results studied in major developed stock markets and emerging stock markets. Full sample and small-cap final dividend rate 100 percent to 199 percent average abnormal returns are positively significant, and other final dividend rate classification abnormal returns are positive in most of the observations, but returns are not significant. Large-cap average abnormal returns are more sensitive to different dividend rates, and small-cap reacts positively in all classifications. So, different market capitalization final dividend actions impact on stocks in India varies in different dividend rate classifications.


Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 8 ◽  
Author(s):  
Caner Demir

The purpose of this study is to analyze the impacts of some prominent macroeconomic factors on the Turkish Stock Market index, BIST-100 (Borsa Istanbul-100). For centuries, and mostly since the 20th century, stock markets are at the heart of economies. In our era, the largest economic crises arise from the stock market instabilities and thus, the stock markets are the focus of interest of the economy. Economists, investors, and policymakers try to predict the tendency of share prices, which substantially depend on foreign and domestic macroeconomic factors. Within this purpose, this study tries to investigate the impact of some selected macroeconomic factors on BIST-100 index over the 2003Q1–2017Q4 period. The findings obtained from the quarterly data via the ARDL Bounds Test suggest that economic growth, the relative value of the domestic currency, portfolio investments and foreign direct investments raise the stock market index while interest rate and crude oil prices negatively affect it. The results briefly reveal that the Istanbul Stock Exchange Market needs stronger domestic currency, higher international capital inflows, and lower energy and investment costs.


2018 ◽  
Vol 45 (1) ◽  
pp. 77-99 ◽  
Author(s):  
Ghulam Abbas ◽  
David G. McMillan ◽  
Shouyang Wang

Purpose The purpose of this paper is to analyse the relation between stock market volatility and macroeconomic fundamentals for G-7 countries using monthly data over the period from July 1985 to June 2015. Design/methodology/approach The empirical methodology is based on two steps: in the first step, the authors obtain the conditional volatilities of stock market returns and macroeconomic variables through the GARCH family of models. The authors also incorporate the impact of early 2000s dotcom and the global financial crises. In the second step, the authors estimate multivariate vector autoregressive model to analyze the dynamic relation between stock markets return and macroeconomic variables. Findings The overall results for G-7 countries indicate a weak volatility transmission from macroeconomic factors to stock market volatility at individual level but the collective impact of volatility transmission is highly significant. Although, the results of block exogeneity indicate a bidirectional causality except UK, but the causal linkage is quite weak from stock market to macroeconomic variables. Moreover, the local financial variables excluding interest rate are closely integrated, and the volatility of industrial production growth and oil price are identified as the most significant macroeconomic factors that could possibly influence the directions of stock markets. Originality/value This research establishes the nature of the links between stock market and macroeconomic volatility. Research to date has been unable to satisfactorily establish the empirical nature of such links. The authors believe this paper begins to do this.


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