股指期货对现货市场的信息传递效应分析

本文研究了股票指数合约的交易对现货市场的影响以及股指期货是否有助于现货市场在信息传递速度与效率方面的提升.利用了GARCH模型,修正GARCH模型,TGARCH模型及极端值模型,通过对香港恒生H股指期货合约引入前后样本的实证分析发现,在期货合约未上市前,波动性干扰反应在时间上的持续性效果较持久.反之,在股价指数期货合约推出后,可以观察到波动性干扰因子的影响会更快速的反应到经济体系中,显示此时的波动过程更趋稳定.由此推论出期货交易的进行加速了信息传递的效率.亦即开放期货合约的交易,对于其标的现货市场的信息传递以及市场波动性,皆具有正面的贡献.     

交易者关注行为对股票价格的影响机制

本文研究了交易者的关注行为对股票价格的影响机制。通过控制了公司基本面的因素基础上,分别从最终量（股票价格）和变化量（价格差）两个角度,建立了影响模型,实证发现,无论是最终量还是变化量,当期的关注度产生的正向响应都是强于滞后一期产生的反向影响;进一步用格兰杰因果分析了两者的关系,发现互为双向格兰杰原因;通过脉冲响应了解相互之间作用的模式,发现关注度对价格短期内是反向波动的影响,长期会有正向的响应。     

Position limit for the CSI 300 stock index futures market

The aim of this study was to find the optimal position limit for the Chinese stock index (CSI) 300 futures market. A low position limit helps to prevent price manipulations in the spot market, and thus keeps the magnitude of instantaneous price changes within the tolerance range of policymakers. However, setting a position limit that is too low may also have negative effects on market quality. We propose an artificial limit order market with heterogeneous interacting agents to examine the impact of different levels of position limits on market quality, measured as liquidity, return volatility, efficiency of information dissemination, and trading welfare. The simulation model is based on realistic trading mechanisms, investor structure, and order submission behavior observed in the CSI 300 futures market.Our results show that on the basis of the liquidity status in September 2010, raising the position limit from 100 to 300 could significantly improve market quality and at the same time keep the maximum absolute price change per 5 s below the 2% tolerance level. However, the improvement becomes only marginal if the position limit is further increased beyond 300. Therefore, we believe that raising the position limit to a moderate level can enhance the functionality of the CSI 300 futures market, which should benefit the development of the Chinese financial system.     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

Realizing stock market crashes: stochastic cusp catastrophe model of returns under time-varying volatility

This paper develops a two-step estimation methodology that allows us to apply catastrophe theory to stock market returns with time-varying volatility and to model stock market crashes. In the first step, we utilize high-frequency data to estimate daily realized volatility from returns. Then, we use stochastic cusp catastrophe theory on data normalized by the estimated volatility in the second step to study possible discontinuities in the markets. We support our methodology through simulations in which we discuss the importance of stochastic noise and volatility in a deterministic cusp catastrophe model. The methodology is empirically tested on nearly 27 years of US stock market returns covering several important recessions and crisis periods. While we find that the stock markets showed signs of bifurcation in the first half of the period, catastrophe theory was not able to confirm this behaviour in the second half. Translating the results, we find that the US stock market’s downturns were more likely to be driven by the endogenous market forces during the first half of the studied period, while during the second half of the period, exogenous forces seem to be driving the market’s instability. The results suggest that the proposed methodology provides an important shift in the application of catastrophe theory to stock markets.     

我国二板市场实施做市商制度的障碍与对策研究

在建立我国二板市场的讨论中 ,关于借鉴纳斯达克市场 ,采用做市商制度的呼声正日益高涨。在中国将要推出的“按新体制运行”的二板市场微观结构设计中 ,是否引入做市商制度 ?针对国情 ,当前我国应大力培育和发展柜台市场 ,建立多层次的资本市场体系 ;应制定有利于做市商制度实施的规则、法律条款及其监督落实的一系列制度 ,提高二板市场的效率。     

资本永续盘存法及其国内应用

资本存量数据是宏观经济运行政策研究的重要决定因素。资本存量核算比较复杂，在理论与技术两个层面都存在诸多问题难以厘清。我国资本统计十分薄弱，数据可得性成为资本存量估算的严重制约。在我国经济增长研究中，如何准确估算资本存量一直是困扰研究者的难题。学术界需要使用这方面数据，又促使很多学者基于各自的研究目的对我国资本存量进行估算。这些研究分别利用不同的假设和处理方法，这使我国资本存量数据出现了差异很大的众多版本。本文在对资本存量估算方法进行梳理之后，对我国资本估算现有研究进行了回顾和评论。     

The Time Varying Relation Between Consumer Confidence and Equities

We examine the impact of changes in consumer confidence measures on future stock index returns. Our analysis is built on the growing understanding that investor sentiment is an important factor in the stock market. By using frequency dependent regression methods, we show that there is a time-varying relation between consumer confidence and stock returns. Higher levels of consumer confidence imply greater returns in the short term but negative returns in the medium term. However, this effect is only observed for the small firm index. Moreover, there is evidence to suggest that consumer confidence is significantly affected by stock returns in reverse causality.