标题: | 台湾指数期货与现货于台湾证券交易所升降单位缩小前后的非线性动态关系研究:门槛误差修正模型 The Nonlinear Dynamic Relationship between the TAIEX Index Futures and Spot before and after the Reduction of Tick Size on the Taiwan Stock Exchange: Threshold VECM Approach |
作者: | 邱柏钧 Chiu Po-Chun 陈达新 Chen Dar-Hsin 财务金融研究所 |
关键字: | 定价效率;套利;非线性动态关系;股价升降单位;门槛共整合;门槛误差修正模型;股价升降单位;pricing efficiency;arbitrage;nonlinear dynamic relationship;tick size;threshold cointegration;TVECM;tick size |
公开日期: | 2005 |
摘要: | 本文采用门槛误差修正模型(TVECM)来探讨台湾证券交易所股市升降单位缩小前后,台指期货与现货间的非线性动态关系。资料从民国九十三年五月一日至民国九十四年十二月三十日,并将样本期间以股市升降单位缩小前后区分成两组样本期间。实证结果显示:台指期货与现货间存在着显着的门槛共整合及非线性短期动态关系,意味着门槛误差修正模型比线性误差修正模型更能有效配适期货对现货的价格动态。而由于股市升降单位缩小可减少价差成本,因此套利门槛值降低,股市升降单位缩小确实有效提升期货与现货的长期连动关系。整体而言,台指期货相对于台指现货具有较强的领先性。最后,股市升降单位缩小可有效减少定价误差,改善期货与现货的定价效率。 This study employs the threshold vector error correction model (TVECM) to model the price dynamics between futures and spot markets across the pre- and post- reduction of tick size periods. The sample period extends over two-year trading days from May 1, 2004 to December 31, 2005. The sample period is divided into two sub-periods before and after the reduction of tick size on March 1, 2005. First of all, the results confirm the presence of threshold cointegration, and nonlinear dynamic coefficients in both sub-sample periods, i.e., implying the threshold VECM model fits the price dynamics between futures and spot markets superior to the linear VECM model. Next, the threshold value decreases after the reduction of tick size, because the decrease of tick size reduces the spread cost which comprises the main transaction cost and lower the arbitrage threshold for arbitrageurs. Then, the long-run co-movement extent between these two financial markets turns stronger. This result is caused by the lower transaction costs after the reduction of tick size, which reduces the obstacles for the two prices to return to long-run equilibrium. Last, the dynamic coefficients show the futures clearly leads the spot in both sub-sample periods. Last but not least, the reduction of tick size can effectively lower the mispricing error and improve the pricing efficiency. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT009339519 http://hdl.handle.net/11536/79721 |
显示于类别: | Thesis |
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