我国投资者结构对股市波动性的影响

本文对我国投资者结构划分,选取变量度量投资者结构实证与理论结合,研究投资者结构与股市波动性的关系。     

棉花期货交易量与收益率及其波动性的关系研究

期货市场合约的价格反映了投资者对未来的预期,并且期货市场中的买空和卖空机制为套期保值者提供了良好的风险规避工具。针对农产品期货市场特征的研究可以为国内农产品的价格变动提供充足的理论基础。本文以国内棉花期货市场为例,研究交易量、收益率及收益率波动性之间的关系。结果发现,棉花期货交易量与价格收益率之间不存在显著的相关关系,棉花期货的价格波动与收益率、价格波动与交易量之间均存在显著的正相关关系。     

大豆期货市场流动性与波动性关系实证研究

流动性和波动性是期货市场效率的两大主要内容,是衡量期货市场成熟度的重要指标.从已有的研究看,国内外学者的研究主要围绕流动性本身及影响因素展开,如流动性定义的界定、衡量指标的构建以及实证的分析等,而对流动性与波动性关系的探讨很少.本文将采用了理论研究与实证探讨、定性分析与定量分析相结合的研究方法,对中国大豆期货市场流动性与波动性的关系进行了研究.     

小麦期货市场交易量与收益波动性关系探讨

本文通过采用AR-EGARCH(1,1)模型对小麦期货市场的交易量与收益波动性关系进行了实证研究,并得出以下结论:小麦期货市场的收益波动性具有集聚性和持续性,但没有杠杆效应;当期期货交易量对收益波动性具有显著的影响,而滞后一期的交易量对收益波动没有影响;将交易量分为预期交易量和非预期交易量后,发现非预期交易量对收益波动地影响大约是预期交易量的8倍.     

50ETF对其成份股波动性影响的实证研究

本文探讨了50ETF对上证50指数成份股的波动影响情况。本文使Andersen et al．方法和GARCH模型的无条件方差测度上证50指数成份股的波动性变化，实证结果显示，ETF的设立显著提高了上证50成份股的波动性；ETF对不同市值规模股票的波动性影响不存在显著差异，但对不同行业的波动性影响存在明显差异。本文认为ETF价格变化可以反映市场信息以及改变投资者的资产配置，进而影响其对应成份股价格的波动性变化。     

期货市场投机性需求与实物交割的关系

商品期货市场的供求关系表现为多头持仓与可交割商品的关系。期货商品的供给受到交割地点和时间等期货制度的制约,表现出小于现货商品供给的有限性特点;期货商品的投机性需求则表现出无限性。用增加交割商品的供给和严格持仓限制来平衡交割商品的供求矛盾,对于控制交割风险具有重要意义。     

沪深股市收益率波动性实证研究

波动性是诸多经济和金融研究的一个重要方面,我国沪深两市收益率的波动性具有自身特点。本文通过ARMA—EGARCH—M模型分析我国沪深两市收益率的波动性,捕捉到我国股市收益率集聚性、尖峰厚尾性、以及非对称性的特点,并绘制出信息曲线,最后对实证结果给予解释与分析。     

基于波动效应与价格发现的期指仿真交易研究

沪深300股指期货仿真交易的推出,对我国现货市场的影响如何以及这种影响是否有利于现货效率的改进。首次采用修正的GARCH模型和向量误差修正模型（VEC）将股指期货推出后现货市场波动性的变化和股指期货与现货市场的价格发现功能结合起来进行对比研究。结果表明,期指仿真交易的推出对于现货市场效率的改进确实存在正面的影响。其引入在短期内加大了现货市场的波动,但这一波动正是市场信息流动加速的反映,因而提高了市场信息的传递效率。同时期货价格领先于现货价格,存在由期货市场到现货市场长期的单向因果关系,说明期货价格具有引导现货价格向均衡方向调整的功能,从而在经验上支持了股指期货市场的开放政策。     

基于EGRACH模型的股指期货对股市非对称性波动影响的实证研究

本文基于EGRACH模型,利用高频数据,实证检验了沪深300股指期货对我国股市非对称波动的影响。实证研究表明,沪深300股指期货与现货市场之间存在互为格兰杰因果关系,在股指期货初期股指期货对股市的波动有放大作用,在远期降低了非对称性波动,具有稳定股市的功效。     

台湾证券柜台交易市场结构及其混合交易模式研究

台湾证券柜台交易市场在促进台湾中小型高科技企业的快速成长和规范非上市公开发行公司的股权报价转让等方面发挥着不可替代的重要作用。本文详细考察了台湾证券柜台交易市场上柜股票和兴柜股票的交易模式,研究表明兴柜市场实行的以分散报价、集中成交的竞争性做市商交易模式具有内在的制度优势,是适宜个人投资者为主的柜台交易市场。台湾柜台交易中心取得成功的关键在于,以满足柜台交易市场交易性需求、流动性需求、波动性需求和透明度需求为基础,通过构建合理的市场结构创造性地引入包括竞价交易机制在内、与市场功能和交易对象的风险特性相适应的混合交易模式。     

碳排放权市场价格发现功能的实证分析

碳期货市场在碳市场扮演着极为重要的角色,通常具有价格发现的功能。本文分析了国际碳排放权交易市场两种主要商品EUA、CER的期货价格关系．通过向量误差修正模型和公共因子模型对欧盟碳期货EUA与CER期货进行了实证研究。结果显示：EUA、CER这两种主要碳排价格指标之间具有很高的相关性,存在长期均衡的协整关系,均扮演着重要的价格发现角色,同时EUA期货价格引导CER期货价格变化。     

Futures Trading Activity and Commodity Cash Price Volatility

Abstract:   This paper examines the lead‐lag relationship between futures trading activity (volume and open interest) and cash price volatility for major agricultural commodities. Granger causality tests and generalized forecast error variance decompositions show that an unexpected increase in futures trading volume unidirectionally causes an increase in cash price volatility for most commodities. Likewise, there is a weak causal feedback between open interest and cash price volatility. These findings are generally consistent with the destabilizing effect of futures trading on agricultural commodity markets.     

股指期货市场金融加速器效应的实证分析

金融加速器理论认为,由于存在着摩擦成本,金融市场的波动可能是非对称的,体现为相对于扩张金融市场状态,紧缩金融市场状态下冲击的波动更加剧烈,由此产生加速效应。本文采用向量自回归模型系列对次贷危机期间S&P500股指期货市场波动状态进行了计量检验,验证了其非对称波动的金融加速器效应,揭示了股指期货市场与股票现货市场之间的风险衍生机制,旨在为我国沪深300指数期货交易的风险防范提供借鉴。     

Information, Trading Demand, and Futures Price Volatility

We examine the relation between futures price volatility and trading demand by type of trader in the Standard & Poor's (S&P) 500-stock index futures market. We find that volatility covaries negatively with signed speculative demand shocks but is positively related to signed hedging demand shocks. No significant relation between volatility and demand shocks for small traders is found. Our results suggest that changes in positions of large hedgers destabilize the market, whereas changes in positions of large speculators stabilize volatility. Consistent with models with asymmetrically informed traders, we find that large speculators are likely to possess superior forecasting ability, large hedgers behave like positive feedback traders, and small traders are liquidity traders.     

A Comparative Study on Interday Market Volatility and Intraday Price Transmission of Nikkei/JGB Futures Markets between Japan and Singapore

Using both daily and intraday data, this paper investigates the impact of different futures trading mechanisms employed by TSE/OSE (automated system with Saitori matching) in Japan and SIMEX (open outcry) in Singapore. In order to examine the relative performance, we compare interday return volatility and intraday price transmission of Nikkei/JGB futures between Japan and Singapore. Regarding Nikkei futures, we find no significant difference in the performance measurements between OSE and SIMEX. We find both OSE and SIMEX have significant higher variances and negative first-order autocorrelation at the open than at the close. We also find Granger causality in both directions of intermarket price transmission between OSE and SIMEX. Regarding JGB futures, empirical results are different between TSE and SIMEX. JGB futures on SIMEX has a lower volatility at the open and first-order autocorrelation at the open is not significant. In addition, we find unidirectional lead from Japan to Singapore in JGB futures. In conclusion, since Japanese trading system does not reduce return volatility and causes delay in the open, the benefit of Saitori matching is questionable. On the other hand, we find weak evidence that the Japanese trading system is more efficient in price reporting. There is no conclusive evidence that either SIMEX open outcry or TSE/OSE Saitori matching dominates the price discovery process.     

机构投资者行为与交易量异象

我们验证了在中国资本市场上存在交易量异象,以过去3个月的换手率为基础进行套利,在未来3个月投资者能获取显著的超额回报。使用中期和年度机构持股数据,我们发现机构投资者能识别和利用交易量异象。基于交易量和机构投资者持股比例的信息,我们发现投资者如果买进过去3个月平均交易量最低与机构投资者持股比例最高的一组,同时卖空交易量最高与机构投资者持股比例最低的一组进行交叉套利,他们能在未来3个月获得10.3%的超额回报。     

Trading Activity and Price Volatility in the Municipal Bond Market

Utilizing a comprehensive database of transactions in municipal bonds, we investigate the volume–volatility relation in the municipal bond market. We find a positive relation between the number of transactions and a bond's price volatility. In contrast to previous studies, we find a negative relation between average deal size and price volatility. These results are found to be robust throughout the sample. Our results are inconsistent with current theoretical models of the volume–volatility relation. These inconsistencies may arise because current models fail to account for the effects of overall market liquidity on the costs of large transactions.