scholarly journals 2016 U.S. Presidential Election and Stock Markets in China

2017 ◽  
Vol 9 (7) ◽  
pp. 32
Author(s):  
SingRu Hoe ◽  
Srinivas Nippani

This study seeks to address the question if the 2016 U.S. Presidential election and Mr. Donald Trump’s path to U.S. presidency affected the stock market returns in China. We do not find conclusive results from three leading stock indices of China, SHCOMP, SZCOMP, and SHSZ300. There is an immediate impact shown in SHSZ300, but not in SHCOMP and SZCOMP. We ascribe this to the impact of less sophisticated investors who dominate the stock market in China and also to that country’s censorship of the media wherein the government could effectively either block or downplay the unfavorable information. 

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.


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.


Author(s):  
Neşe Algan ◽  
Mehmet Balcılar ◽  
Harun Bal ◽  
Müge Manga

This study investigates the impact of terrorism on the Turkish financial market using daily data from Jan 4, 1988 to May 24, 2016. In order to measure the impacts of terrorist attacks in Turkey we test for causality from terrorism index to returns and volatilities of 3 aggregate and 16 sector level stock indices using a recently developed nonparametric causality-in-test test of Balcilar et al. (2016). The results obtained indicate that there is no causality from terrorist activities to stock market returns (1st moment). However, we find significant causality at various quantiles from terrorist activates to volatility (2nd moment) of tourism, food and basic materials sectors.


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.


2009 ◽  
pp. 145-180
Author(s):  
Oreste Napolitano

This paper explore, using Markov switching models, the dynamic relationship between stock market returns and the monetary policy innovation in 11 EUM countries and, for five of them, at each single industry portfolios. It also investigates the possibility of asymmetric effects of the ECB decision when stock markets are not fully integrated. The findings indicate that there is statistically significant relationship between policy innovations and stock markets returns. The findings from country size and industry portfolios indicate that monetary policy has larger asymmetric effect on the industry portfolios of big countries (Italy, France and Germany) compared to the same sectors of small countries (Netherlands and Belgium).


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Narayan Parab ◽  
Y. V. Reddy

Abstract In one of the most historic decisions in the Indian economy, the Government of India demonetized its two highest currency notes (Rs. 500 and Rs. 1000) on November 8, 2016. The Indian stock market does not only consist of domestic investors; however, it does attract a large pool of foreign investors. The present study, considering the significance of demonetization in Indian economy, attempted to examine the association between foreign institutional investment (FII), domestic institutional investment (DII) and stock market returns taking into account a period of 686 days from June 11, 2015, to March 27, 2018, i.e., 343 days pre- and post-demonetization. The study made use of various statistical techniques such as summary statistics, augmented Dickey–Fuller test, correlation analysis and regression analysis. The results indicate a negative relationship of FIIs and DIIs with Nifty 50 Index Returns prior to demonetization; however, such a relationship was noticed to be positive post-demonetization. The present study did not evidence a significant impact of demonetization on FIIs and DIIs, but a significant negative impact was noticed in the case of Nifty 50 Index and various sectoral indices post-demonetization. Nifty Realty sector was found to be severely affected because of demonetization. The study will help the government in understanding the impact of demonetization on foreign and domestic institutional investors, various sectoral indices and evaluate market sentiment post-demonetization and therefore frame necessary policies. Also, the information provided in present study will help various stock market participants.


2021 ◽  
pp. 1-21
Author(s):  
Nesrine Mechri ◽  
Christian De Peretti ◽  
Salah BEN HAMAD

The present research provides an overview of links between exchange rate volatility and the dynamics of stock market returns in order to identify the influence of several macroeconomic variables on the volatility of stock markets, useful for political decision makers as well as investors to better control the portfolio risk level. More precisely, this research aims to identify the impact of exchange rate volatility on the fluctuations of stock market returns, considering two countries that belong to the Middle East and North Africa (MENA) zone: Tunisia and Turkey. Previous works in the literature used very specified and short periods of study, many important variables were neglected, and most of the earlier research was concentrated on the developed countries. In this research, we integrate several control variables of stock market returns that have not been simultaneously studied before. In addition, we spread out our research period up to 15 years including many events and dynamics. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) and multiple regression models are first employed. Then, an Artificial Neural Network (ANN) is used and compared with the results of the multiple regression. Hence, the results show that for both Tunisia and Turkey, exchange rate volatility has a significant effect on stock market fluctuations.


2019 ◽  
Vol 5 (2) ◽  
pp. 215-242
Author(s):  
Rehana Kousar ◽  
Zahid Imran ◽  
Qaisar Maqbool Khan ◽  
Haris Khurram

The purpose of this study is to examine the impact of terrorism on stock markets of South Asia namely, Karachi Stock Exchange 100 index (Pakistan), Bombay Stock Exchange (India), Colombo Stock Exchange (Sri Lanka) and Chittagong Stock Exchange (Bangladesh). Monthly panel data has been used for the period of January 2000 to December 2016. Terrorism events happened during the period of 2000 to 2016 have been incorporated to examine the impact of terrorism on stock market returns of South Asia. DCC GARCH through R software is used to analyze the impact of terrorism on stock market returns and to analyze the spillover effect of terrorism in one country and on the stock markets of other countries of South Asia. The results indicate that terrorism has significant and negative effect on stock market returns of Pakistan, India and Bangladesh but insignificant in Sri Lanka. Results also shows that stock markets return of Pakistan, India, and Bangladesh are significant and positively correlated with each other except the Stock market of Sri Lanka.


2016 ◽  
Vol 61 (01) ◽  
pp. 1640004 ◽  
Author(s):  
HARDJO KOERNIADI ◽  
CHANDRASEKHAR KRISHNAMURTI ◽  
ALIREZA TOURANI-RAD

This study examines the impact of natural disasters on stock market returns and on industries that are likely to be affected by such disasters. We find that different natural disasters have different effects on stock markets and industries. Our evidence suggests that while earthquakes, hurricanes and tornadoes could negatively affect market returns several weeks after the events, other disasters such as floods, tsunamis and volcanic eruptions have limited impact on stock markets. We also find that construction and materials industry is generally positively affected by natural disasters but non-life and travel industries are likely to suffer negative effects.


2021 ◽  
Vol 14 (27) ◽  
pp. 77-90
Author(s):  
Chung BAEK ◽  

This study investigates the impact of North Korea’s nuclear tests on Asian stock markets. Two approaches are used separately in order to identify how stock market returns and volatilities change immediately after the nuclear tests. We find that the Chinese stock market tends to be more sensitive to unexpected shocks from North Korea’s nuclear tests than other Asian stock markets. However, relatively, the Japanese stock market is little influenced by the nuclear tests though Japan is not only geographically close to North Korea but also politically vigilant to North Korea’s nuclear threats. Also, we find that strengthened return correlations (linearity) do not necessarily increase stock return volatilities.


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