政策性事件對深圳A股隱性交易成本的影響
[Abstract]:Based on the Bayesian Gibbs sampling estimation method proposed by Hasbrouck (2009), this paper uses the daily closing price data of individual stocks in Shenzhen A-share market to calculate its implicit transaction cost, and on this basis selects eight typical policy events related to the trading system. The influence of securities trading system on implicit transaction cost in Shenzhen A-share market is investigated by event-research method. The results show that: (1) the implicit transaction cost has seasonal effect, the implicit transaction cost in the first half of the year is higher than that in the second half year and the highest in the second quarter, (2) the implicit transaction cost in the bull market stage is slightly higher than that in the bear market stage; (3) the T1 / St system reduces the liquidity of the market and increases the transaction cost of the market. (4) the fluctuation limit can obviously reduce the implicit transaction cost in the short term, but the fluctuation limit will limit the liquidity of the market at the same time. Increase transaction costs; (5) PT system can increase market spot liquidity, reduce transaction costs; (6) implement a large trading system, adjust and expand the scope of order disclosure, On the contrary, the implementation of the operational rules of repurchase and circulation of listed companies increases the hidden transaction costs of the market; (7) the implementation of the collective bidding and closing system helps to reduce the hidden transaction costs and improve the liquidity of the market. On the basis of empirical research, this paper puts forward some policy suggestions to perfect the securities trading system.
【學(xué)位授予單位】:暨南大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F832.51
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