scholarly journals The Impact of Securities Margin Trading on Chinese Stock Market

2018 ◽  
Vol 10 (4) ◽  
pp. 101
Author(s):  
Shaozhen Chen ◽  
Liang Su ◽  
Li Lin ◽  
Chaoqun Zhou ◽  
Haohui Lin

In this paper, we take Shanghai Stock Market as the research object, conducts a multi-dimensional analysis of the volatility of the Shanghai Stock Exchange 50 Index before and after the introduction of margin trading. After the implementation of the securities margin trading policy, the historical volatility of the securities market has obviously been weakened. From the perspective of dynamic volatility, we establish a GARCH (1, 1) model by introducing the dummy variables according to the AIC and SC optimal rules, and establish TGARCH (1, 1), EGARCH (1, 1) and PGARCH (1, 1) to analyze the asymmetry. All of the model results show that the introduction of margin trading reduces the risk of the stock market and weakens the asymmetry. In order to test the effect of the residual distribution of returns, we assume that the residuals follow the t distribution and the GED distribution respectively and establish the optimal GARCH (1, 1) model. The final result is the same as those under the Gaussian distribution assumption.

2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.


Author(s):  
Vladimir M. Gribanich ◽  

The article is devoted to the analysis of the development of the stock market, its stages of development and the impact on the economic conjuncture of countries. The relevance of studies on the development of the stock market in modern realities is growing every day, the number of transactions also grows steadily despite the pandemic, and that forms huge cash flows. The purpose of the study carried out in the article is not only to identify the influence of the stock market on the development of countries in modern conditions, but also to conduct a statistical analysis of data reflecting the state of the main stock exchange indices in a pandemic, as well as to assess the state of the securities market in 2019 and 2020 and work out forecasts for its future development. Several methods were used in the work: analysis of official information sources, statistical observation (systematic collection of information), grouping of the source data, their graphical presentation, as well as building diagrams.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Binghui Wu ◽  
Yuanman Cai ◽  
Mengjiao Zhang

This paper uses the partial least squares method to construct the investor sentiment index in Chinese stock market. The Shanghai Stock Exchange 180 Index and the Shenzhen Stock Exchange 100 Index are used as samples. From the perspectives of holistic sentiment and heterogeneous sentiment, this paper studies the impact of investor sentiment on stock price crash risk. The results show that investor sentiment can significantly affect stock price crash risk in Shanghai and Shenzhen A-share markets, especially in the Shenzhen A-share market no matter from which perspective. And investor pessimism has a greater impact on stock price crash risk in the Shenzhen A-share market from the perspective of heterogeneous sentiment. Compared with the available researches, this paper makes two contributions: (i) the comparative analysis is adopted to discuss the differences between Shanghai and Shenzhen A-share markets, abandoning the research approach that takes the two markets as a whole in existing literature, and (ii) this paper not only studies the impact of investor holistic sentiment on stock price crash risk from a macro perspective, but also adds a more micro heterogeneous sentiment and conducts a comparative analysis.


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.


2020 ◽  
Vol 214 ◽  
pp. 01030
Author(s):  
Zitang Shen

The negative impact of foreign participation on the liquidity of companies that allow a high degree of foreign institutional ownership has been widely documented. This article provides a unique environment for the limited participation of qualified foreign institutional investors (QFIIs) in China’s A-share market, and examines how these factors affect stock liquidity in emerging markets. Contrary to previous findings, the participation of foreign investors has helped increase the liquidity of affected stocks by facilitating increased trading activity. Improved liquidity in small businesses is more important than large ones. The findings of this article are the endogenous robustness and the impact on the stock market, industry impact, and possible impact on the stock exchange. In addition, when analyzing sub-samples of QFII companies, QFII’s liquidity improvement effect is even stronger. This article aims to through data analysis on the stock liquidity provide Chinese stock market with management suggestions.


2021 ◽  
Vol 16 (3) ◽  
pp. 495-520
Author(s):  
Lin Guo ◽  
◽  
Xufei Zhang ◽  
Songlei Chao ◽  
◽  
...  

The outbreak of the COVID-19 epidemic has had an adverse effect on China's economy. This paper uses the event study method to test and measure the impact of the open market reverse repo (OMRR) operation on the Chinese stock market. The results show that the OMRR operation generates a positive daily abnormal return and a positive daily cumulative abnormal return on average for all stocks. The impact is larger for non-state-owned enterprise (non-SOE) firms than for SOE firms, stocks of non-Hubei provinces than those of the Hubei province, and for stocks of the information transmission and technology industry than those of other industries. We suggest that our government implement more prudent monetary policies and more proactive fiscal policies.


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.


2019 ◽  
Vol 21 (34) ◽  
pp. 137-152
Author(s):  
Miguel Angel Laverde Sarmiento ◽  
Jorge Fernando Garcia Carrillo ◽  
Juan Carlos Lezama Palomino ◽  
Alejandra Patiño Jacinto

The aim of this research is to determine whether the implementation of the International Financial Reporting Standards (IFRS) in the companies of the financial sector listed on the Colombian Stock Exchange has greater relevance compared to the previous accounting regulatory framework known as Generally Accepted Accounting Principles (GAAP) in Colombia, for the years 2009 to 2016. Taking into account the concept of valorative relevance that indicates that the accounting information is relevant if it affects the stock price reflected in the capital market exchange. To determine this relationship, an adaptation of the model proposed by Ohlson (1995) is used, because it is the most frequently used to measure relevance. The modifications made to the model were to include accounting variables of financial instruments of assets and liabilities to better measure the impact of the IFRS. On a general level, the conclusion is reached that the valorative relevance of financial companies listed on the stock exchange between 2009 and 2016, does not change due to the application of the IFRS. The results are because the regulation that financial companies that are listed on the stock exchange of Colombia are subject to has contributed to the relevance being maintained before and after the application of the new regulatory framework. however, when carrying out the study of the information taking into account only the variables and taking into account the regulations under the IFRS, they present a greater degree of significance.


2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori

What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.


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