中文摘要 |
本文使用結構向量自我迴歸 (structural vector autoregressive, SVAR) 模型,分 析實際的期貨市場交易資料,以探討市場的交易活動、價格波動、與交易成本之 間的動態關係,並檢視交易制度變革對於市場之交易環境與市場結構的影響。實 證結果顯示,當撮合時間間隔由20秒縮小為10秒時,台股指數期貨的價差有微幅 的增加,但波動度與交易量無顯著的變化;當撮合制度由集合競價轉變成連續競 價時,台股指數期貨的交易量上升,買賣價差增加,而波動度並未發生顯著的變 化。另一方面, 在期貨交易稅降低之後,台股指數期貨的交易量上升,買賣價差 降低,然而價格波動度無顯著變化,與 Chou and Wang (2006)之結果一致。 |
英文摘要 |
This study examines empirically how trading volume, bid-ask spreads, and price volatility respond to changes in the frequency of market clearing and the reduction in transaction tax in the Taiwan futures market. Using a structural vector autoregressive (SVAR) model, we study the link among trading volume, bid-ask spread, and price volatility in the market. The results show that bid-ask spread increases slightly, the volatility and trading volume remain unchanged when the clearing frequency changes from 20 seconds to 10 seconds. When the market clearing system switches from a call auction to a continuous auction, both bid-ask spread and trading volume increase, but the volatility is not affected. Moreover, consistent with Chou and Wang (2006), we observe that the trading volume rises and bid-ask spread falls following the reduction in transaction tax, whereas the volatility remains unchanged before and after the transaction tax is reduced. |