This paper explores the determinants of B-share discounts in the Chinese stock market based on a unique regulatory change in 2001. We find that the B-share discounts declined substantially after the lifting of restrictions on foreign ownership in China, but the H-share discount remained virtually unchanged. Using the intraday data, we find that information flows from the B-share markets to the A-share markets increase significantly after the event, because domestic investors rush into the B-share markets. Using various cross-sectional analyses, we also find that relative supply and behavior factors such as relative spread (or liquidity) and relative risk affect the discounts throughout the sample period.

本文是针对股指期货市场的波动溢出效应所做的相关研究。股指期货是最近几年的热点问题，本文利用行为金融的理论阐述了股指期货价格波动溢出的机理，如波动如何起源，有何特征，如何传递与扩散，从定性层面上对价格波动溢出作了一个分析，从而有助于更好地理解此效应。

This paper explores the determinants of B-share discounts in the Chinese stock market based on a unique regulatory change in 2001. We find that the B-share discounts declined substantially after the lifting of restrictions on foreign ownership in China, but the H-share discount remained virtually unchanged. Using the intraday data, we find that information flows from the B-share markets to the A-share markets increase significantly after the event, because domestic investors rush into the B-share markets. Using various cross-sectional analyses, we also find that relative supply and behavior factors such as relative spread (or liquidity) and relative risk affect the discounts throughout the sample period.

In this paper, I apply the GARCH-class models to Chinese stock market. And I analyze the characteristics of the volatility of Chinese stock market .By comparing the models, I conclude that EGARCH model and EGARCH-M model have almost the same efficiency in Shanghai Stock Exchange (SHSE) and Shenzhen Stock Exchange (SZSE). Then I use the estimated model to forecast the volatilities for these two stock exchanges.

While the vast majority of the literature reports momentum profitability to be overwhelming in the U.S. market and widespread in other countries, this paper finds that the pure momentum strategy in general does not yield excess profitability in the Chinese stock markets. We find instead strong mean reversion with an average half-life slightly shorter than one year. A pure contrarian investment strategy produces positive excess returns and in general outperforms the pure momentum strategy. Furthermore, momentum may interact with mean reversion. A strategy based on the rolling-regression parameter estimates of the model combining mean reversion and momentum generates both statistically and economically significant excess returns. The combined strategy outperforms both pure momentum and pure contrarian strategies. We conduct a number of robustness tests and confirm the basic findings. Collectively, our results seem to support the overreaction hypothesis.

在交易方向判别中，将传统的成交价比较法和针对报价驱动市场设计的Lee-Ready判别法应用到委托驱动的连续竞价市场时，可能导致系统性的误判。原因在于，在委托驱动市场独有的价格形态下，成交价比较法未能充分发掘买卖报价中的信息对价格不变情形进行有根据的判别，而Lee-Ready判别法蜕化为不适用的报价比较法。针对委托驱动市场中交易具有即时的成交价影响和报价修正影响这一特征，本研究将交易分成成交价不变、成交价上涨和成交价下跌三类，并提出了一种结合成交价比较法和报价比较法进行判别的新思路：对成交价上涨或下跌的样本基本适用成交价比较法，而对成交价不变的样本适用修正的报价比较法，同时排除一些可能引起误判的样本。这种新的判别法对市场微观结构效应的研究和应用均有重要的参考价值。

标准投资组合选择理论假设投资者准确地知道与资产收益率相关的各种参数，忽视了参数不确定性引致的估计风险给最优投资组合带来的影响。本文使用鞅方法求解了连续时间情形下引入参数不确定和学习时的动态投资组合问题，导出了最优投资组合的显示表达式。在此基础上深入分析了考虑参数不确定性对最优投资策略的影响及产生这些影响的原因。此外，我们还分析了投资者不同的初始信念对其投资方式和投资效果的影响。

套期保值者所面对的主要风险是基差风险，传统套期保值（1：1套保）在实际运用中经常会由于基差的剧烈波动而造成额外的损失。本文通过对沪铜历史数据的研究，利用OLS，ECM，ECM-GARCH等模型对各种方法所获得的套期保值比率进行了验证

本文在马尔可夫状态转移误差修正模型（MS-VECM）框架下分析了英国伦敦金属交易所与我国上海期货交易所期货铜的价格发现过程及价格贡献度问题。主要研究结果表明，不同状态下（暴跌、小幅波动、暴涨），两市场均表现出不同的价格发现过程；当铜价小幅波动时，伦敦金属交易所在价格发现过程中的影响力强于上海期货交易所；只有当铜价出现较大波动时，上海期货交易所才表现出较显著的价格发现贡献度。

本文使用OLS、VAR、VECM-GARCH模型和动态OLS四类模型，分别在方差最小和效用最大化两类评估框架下搜寻我国燃油期货的最优对冲比率及其期限，并使用夏普比率的修正形式对样本期内外各类不同期限的套期保值策略有效性进行对比检验。实证结果发现：以双周为期限，基于效用最大法的VECM-GARCH模型表现最好，其平均夏普比值可以高达2.96；这说明我国油料期货市场的投资者应充分利用波动率择时能力，选择合适的套期保值比率及其期限。