2018
DOI: 10.3390/jrfm11040076
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Stock Market Volatility and Trading Volume: A Special Case in Hong Kong With Stock Connect Turnover

Abstract: The cross-boundary Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect provides a special data set to study the dynamic relationships among volatility, trading volume and turnover among three stock markets, namely Shanghai, Shenzhen, and Hong Kong. We employ the Granger Causality test with the vector autoregressive model (VAR) to examine whether Stock Connect turnover contributes to future realized volatility and market volume of these three markets. Our results support the evidence of causality from Stock… Show more

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Cited by 4 publications
(3 citation statements)
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“…The integration of the futures market with the spot market is one of the most relevant areas of this paper. Though there are studies between these two markets, only a few discuss the integration of volatility in both markets (Bessembinder and Seguin 1992;Chan et al 2018;Chang et al 2017;Qin et al 2018). Most of the studies are on prices, returns, and price discovery in one market caused by the other markets.…”
Section: Review Of Literaturementioning
confidence: 99%
“…The integration of the futures market with the spot market is one of the most relevant areas of this paper. Though there are studies between these two markets, only a few discuss the integration of volatility in both markets (Bessembinder and Seguin 1992;Chan et al 2018;Chang et al 2017;Qin et al 2018). Most of the studies are on prices, returns, and price discovery in one market caused by the other markets.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Perubahan aset harga dan volume perdagangan adalah karena proses kedatangan informasi dasar yang sama dan karenanya volume dan volatilitas berkolerasi (Chan et al, 2018). Volume perdagangan yang besar menunjukkan bahwa saham tersebut sangat diminati oleh banyak investor.…”
Section: Volume Perdaganganunclassified
“…The ability of entity management to create assets value added and assets liquidity can provide a signal of good news to the stock market so that stock liquidity can be expected to increase, stock liquidity can be a measure to find out which stock is in demand by investors, the higher the investors' interest in a stock, Additionally, the shares' liquidity will rise. (Margaretha, 2005), a share that is frequently traded in the stock market can be viewed from the standpoint of the frequency and volume of share trading, previous research related to stock liquidity includes a focus on stock trading volume (B. S. F. Chan et al, 2018;Song et al, 2005), there is also a focus on trading frequency (Cartea & Penalva, 2012;Morgan, 2013;Rossi et al, 2015), there is also a focus on the Illiquidity ratio, the log of the number of daily cash flows on the company's shares, the bid-ask spread (Al-jaifi, 2017;Bhattacharya et al, 2019;Mardani et al, 2018;Tissaoui et al, 2018;Toh et al, 2018) while in this research stock liquidity is seen from the perspective of stock trading frequency.…”
Section: Introductionmentioning
confidence: 99%