scholarly journals Impact of Macroeconomic Variables on Stock Market Indices Value: A Cross-Country Indices Study

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.

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.


Author(s):  
Jesper Rangvid

From Main Street to Wall Street examines the relation between the economy and the stock market. It discusses the academic theories and empirical facts, and guides readers through the fascinating interaction between economic activity and financial markets. Itexamines what causes long-run economic growth and shorter-term business-cycle fluctuations and analyses their impact on stock markets. From Main Street to Wall Street also discusses how investors can use knowledge of economic activity and financial markets to formulate expectations to future stock returns. The book relies on data, and figures and tables illustrate arguments and theories in intuitive ways.In the end, From Main Street to Wall Street helps academic scholars and practitioners navigate financial markets by understanding the economy.


2019 ◽  
Vol 67 ◽  
pp. 06001 ◽  
Author(s):  
George Abuselidze ◽  
Olga Mohylevska ◽  
Nina Merezhko ◽  
Nadiia Reznik ◽  
Anna Slobodianyk

The article reveals the essence and features of the development of the stock market in Ukraine. It was established that the vigorous activity of countries in the world financial markets means that they also face a risk of global financial turmoil (the so-called “domino effect”). It is determined that the impact of global financial instability on the country depends on the openness of its economy that will lead to significant external “shocks”. The possibility of providing effective influence on domestic stock market activity with taking into account the changing world situation, development of perfect trading strategies for each participant is substantiated. The conducted analysis of the world market conditions of stock markets in recent years has made it possible to assess the real risks for new participants in the stock market and become the basis for the development of an appropriate effective trading strategy. The practical significance of the results is that they allow for a measurable approach to assessing the existing risk when choosing one or another trading strategy to move to the world stock market.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Shanglei Chai ◽  
Zhen Zhang ◽  
Mo Du ◽  
Lei Jiang

Financial internationalization leads to similar fluctuations and spillover effects in financial markets around the world, resulting in cross-border financial risks. This study examines comovements across G20 international stock markets while considering the volatility similarity and spillover effects. We provide a new approach using an ICA- (independent component analysis-) based ARMA-APARCH-M model to shed light on whether there are spillover effects among G20 stock markets with similar dynamics. Specifically, we first identify which G20 stock markets have similar volatility features using a fuzzy C-means time series clustering method and then investigate the dominant source of volatility spillovers using the ICA-based ARMA-APARCH-M model. The evidence has shown that the ICA method can more accurately capture market comovements with nonnormal distributions of the financial time series data by transforming the multivariate time series into statistically independent components (ICs). Our findings indicate that the G20 stock markets are clustered into three categories according to volatility similarity. There are spillover effects in stock market comovements of each group and the dominant source can be identified. This study has important implications for investors in international financial markets and for policymakers in G20 countries.


2020 ◽  
Vol 8 (3) ◽  
pp. 43
Author(s):  
Mirzosaid Sultonov

Information about the possibilities of changes in national and international macroeconomic variables affects the expectations and behavior of individuals and firms more quickly than real changes in those macroeconomic variables. In this research, we investigate the impacts of international information (news) on the financial markets in Japan. We examine how news about the results of the Brexit referendum (BR) and the United States presidential election (USE) affected foreign exchange rates and stock market indexes. This research reveals evidence of statistically significant changes in exchange rates and stock market indexes within two weeks after the BR and USE, statistically significant changes in the exchange rate variance within the first week after the BR, and changes in the causality relationship between the variables after each event.


2020 ◽  
Vol 12 (20) ◽  
pp. 8581
Author(s):  
Wenjing Xie ◽  
João Paulo Vieito ◽  
Ephraim Clark ◽  
Wing-Keung Wong

This study investigates whether the merger of NASDAQ and OMX could reduce the portfolio diversification possibilities for stock market investors and whether it is necessary to implement national policies and international treaties for the sustainable development of financial markets. Our study is very important because some players in the stock markets have not yet realized that stock exchanges, during the last decades, have moved from government-owned or mutually-owned organizations to private companies, and, with several mergers having occurred, the market is tending gradually to behave like a monopoly. From our analysis, we conclude that increased volatility and reduced diversification opportunities are the results of an increase in the long-run comovement between each pair of indices in Nordic and Baltic stock markets (Denmark, Sweden, Finland, Estonia, Latvia, and Lithuania) and NASDAQ after the merger. We also find that the merger tends to improve the error-correction mechanism for NASDAQ so that it Granger-causes OMX, but OMX loses predictive power on NASDAQ after the merger. We conclude that the merger of NASDAQ and OMX reduces the diversification possibilities for stock market investors and our findings provide evidence to support the argument that it is important to implement national policies and international treaties for the sustainable development of financial markets.


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.


2020 ◽  
pp. 097215092093559
Author(s):  
Shah Saeed Hassan Chowdhury

This study examines how stock market sentiment in a Gulf Cooperation Council (GCC) stock market may spill over to affect sentiments in other markets in the region. Findings from dynamic conditional correlation models in a generalized autoregressive conditional heteroscedasticity (GARCH) framework, traditional Granger causality test and impulse response functions suggest that Kuwait and Qatar stock markets are segregated from other markets in the region. Saudi Arabia and the United Arab Emirates (UAE) markets are well integrated, and any shift in sentiment in either of the two affects the other. Bahrain and Oman are somewhat integrated with the UAE and Saudi stock market sentiments. Thus, when an investor has significant investments in both Saudi Arabia and the UAE, he must be aware of any contagion effect—especially in the case of a stock market panic.


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