Globally there are three significant variations in the system of securities and margin financing which are the decentralized model of credit as is represented in the United States of America, the dual track model of credit as is represented by Taiwan and the mode of centralization in Japan. In the capital markets of the western countries, margin trading has become a day to day business. In contrary to that, the setting up of the stock market in the year 1990, the margin trading in China has been out of concepts until the year 2010. The investors can only make the prices to rise and enrollments of more stocks as the lack of market short selling tactics for the past two decades. In the single-side market of shares, the investors are initiated to push forward the price of the stock to earn profits that can easily perturb to the bubble-like formation while affecting the healthy and normal market stock development. Though the margin trading account has a minimal but essential function, yet the investors will provide the transaction of credit to worsen the evaporation of the in the share market.
In comparison to the nature and traits of the capital markets in the developed countries, the finance of margin and the lending of securities have become a day to day and mandatory business in the land of China in the year 2000. The systems are sound and mature, the information is surplus, and the market is potent, which is because of the continued development of the capital market in foreign lands. These provide a reasonable basis for the study while these help the scholars. While studying the effect of the introduction of the margin of finance and the lending of securities on the share market quality, more attention pulled to the impact of the flexible. There have been long term research and analysis, but there is no such relevant summary. However, there is an introduction for financing the margin and lending the securities mechanism in China, the market which is not yet so much professional and the analysis based on the aspect which is less than that of the other places.
Post-market trade in the margin and making of the constant comparison with the pre-data and summarizing it to be forbidden to enhance the valid pricing. After the forbiddance of the selling and buying in the reduction of the volatility of the share market; short trading which tends to distort on the price made to be active and to make the biases in estimates with the high amount of volatility. In the year 1997 and 2010, China laid conduct through the role in the reduction of the volatility of the share market after a suspended time (Exchange, 2018). The family model of GARCH and the model of VAR analyzed the effect of the trading of the margin on the market volatility. The research and analysis have found that margin trading has its impact on the index volatility and have a constant effect on the stock of the individual those are underlying. Empirical research bases on the Shanghai stock market, where the Granger causality test and model of VAR is used to summarize that the mechanism of the open margin trade alleviate the volatility of the stock market within a short period of time, but there is no clear sense of random link between the two (Hu, Jiang, McInish, & Zhou, 2017). The analysis of the market of China showed and concluded the margin that has been allowed to lessen the liquidity of the stock market. It demonstrates that the trading system in the market has decreased the volatility of the market and the effect within the system of refinancing, which was very subtle (Hu, Jiang, McInish, & Zhou, 2017). There are other issues of OTC which enlisted the marginal securities and tested the originality that the price of the eligibility of the margin increased in the flow of data and enhancement of the deep drive. The nature of the autocorrelation of the stream of the regular returns of the stock index in the Tokyo Stock Exchange rendered the proofs those are exhibited the positive autocorrelation when the power of volatility was low but exhibited negativity. The investigation of the process of the announcement and using of the short sales and the regulation of the margin trading which affected the returns of the Chinese stock and the volume of trade, that impacted on the negative impact on the domination of the short sales leading to the positive effects of the business of margin on an average.
In the year 2011, 25th November the formal disclosure of the business of the margin trade, where a total of 241 groups of information were chosen to curb holidays from 28th November 2011 to 25th November 2012 as an example needed for observations (Huang, 2017). In the analysis done empirically on the grounds of the effect of the trading in a margin on the quality of the Shenzhen Stock Exchange, at an initial level it is important to examine the unit of ADF for the other four variables RQ, VOL, and RZ. The original series of finance and the volatility are smooth, and the original series of liquidity and liquidation are not constant but seems to be constant in the first order of difference. Table 1 shows the outcome of the constant test of each of the variables.
The analysis based on empirical view through the research of the finance on the amount of the Shenzhen Stock Exchange on behalf of the transactions of the buy-out. it refers to as RZ. The volume of the margin trading is based on the selection of the regular margin of the Shenzhen Stock Exchange on behalf of short selling, which is RQ. The volatility of the Shenzhen Stock Exchange is considered to be VOL, where the values are as follows: A: the highest price of the Shenzhen Stock Exchange on the same day; B: the lowest price of the Shenzhen Stock Exchange on the same day. Thus, it can render LIQ = (A-B) / (A+B) *2*100. Research is based on the availability of the stock.
The line of an end is drawn by saying that this paper shows the impact of the trading of the margin on the volatility in the share market of Shenzhen. The two models used in these papers those are Granger and the VAR model test, which is the analysis of the transaction of the information of the one year trading of the business. The results shown are as follows: the buy-out of finance and the volume of sale of the stock lending which can restrain the flexibility of the stock market of Shenzhen as the effect of investment is higher than that of the loan(Wei et al, 2018). The volatility of the stock market and the trading of the margin are the result of the Granger model of analysis. Empirical analysis renders the results that are rigid from the initiation of the study of theory (Wei et al, 2018). The execution of the finance of margin and the lending of the securities of the business has lessened the volatility of the share market and enhance the perfection of the market.
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Hu, B., Jiang, C., McInish, T., & Zhou, H. (2017). Price clustering on the shanghai stock exchange. Applied Economics, 49(28), 2766-2778.
Huang, X. (2017). PM2. 5, Investor Sentiment, and Stock Returns. DEStech Transactions on Engineering and Technology Research, (icaenm).
Wei, S. Y., Ye, X. W., Liu, C. Y., Yang, K. C., & Hou, C. C. (2018, October). Empirical Analysis on Price-volume Relation in the Stock Market of Shanghai and Shenzhen. In International Wireless Internet Conference (pp. 263-276). Springer, Cham.