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.     

The effect of lender and loan type on a borrowing firm’s equity return

Past empirical studies appear to support the idea that banks and finance companies do not differ in their ability to resolve adverse selection problems associated with issuing new debt. In this article, we find there is a difference. More specifically, using an event study we find larger abnormal returns for secured loan disclosures to lower quality borrowers when the lender is a finance company versus a bank. This suggests the market views finance companies as more effective than banks in evaluating/monitoring lower quality borrowers obtaining secured loans. We posit this is due to finance companies’ greater expertise in this type of lending, resulting from specialization. Our findings extend the literature on how lender identity can influence signals about firm value from loan disclosures. Our results also support recent findings that positive abnormal returns to borrowing firms may not be a general feature across the loan population, but may be restricted to smaller, lower quality borrowers. Finally, we are the first to provide evidence that the market takes loan type into account, not just lender and borrower type, when considering the information embedded in loan disclosures.     

Bond rating changes and stock returns: evidence from the Spanish stock market

This study analyzes the effect of corporate bond rating changes by international agencies on stock prices. This topic has not yet been analyzed for the Spanish stock market, despite the growing importance of ratings in Spanish financial markets. On an efficient market, rating changes will only have an effect if they contain some new information. The results from an event study indicate that rating actions cause significant negative abnormal returns in issuing firms around the date of the announcement. This evidence indicates an informational effect related to downgrades, which supports the hypothesis that credit rating agencies provide information that may reduce the asymmetric information problem between firms and investors. In the case of upgrades, our results are compatible with a redistribution of wealth between bondholders and owners or with the reputation hypothesis.      

交易成本对股票价格的影响研究--基于深圳股票市场的经验研究

本文利用Umlauf(1993)方法和事件研究法,研究了证券印花税变化对深市大盘指数以及单只股票的影响,证明了印花税税率下调会提高股票价格指数水平,得到一个显著的正收益率,而上调会降低股票价格指数水平,得到一个显著的负收益率这一结论.表明了印花税可以作为一种调控证券市场的宏观政策工具,并且为这种政策调控提供了一定的数量指导.     

Technological forecasting at the Korean stock market: A dynamic competition analysis using Lotka–Volterra model

The purpose of this paper is to attempt to analyze the dynamic relationship between the Korean Stock Exchange (KSE) and Korean Securities Dealers Automated Quotation (KOSDAQ), two competing markets at the Korean stock market, in the viewpoint of technological forecasting of competition. The Lotka–Volterra system of equations, one well-known competitive diffusion models, is adopted to represent the competitive situations of the Korean stock market and it is estimated using daily empirical index data of KSE and KOSDAQ during 1997–2001. The results show that there existed a predator–prey relationships between two markets in which KSE acted as a prey for the time being after the emergence of KOSDAQ. This interaction was altered to symbiotic relationship and finally to pure competition relationship. We also perform an equilibrium analysis of the estimated Lotka–Volterra equations. As a result, we find that there is an equilibrium point in a dynamic sense. However, the equilibrium point could be unstable in the latest pure competition relationship.     

Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model

The predictability of stock return dynamics is a topic discussed most frequently in empirical studies; however, no unanimous conclusion has yet been reached due to the ignorance of structural changes in stock price dynamics. This study applies various regime switching GJR-GARCH models to analyze the effects of macroeconomic variables (interest rate, dividend yield, and default premium) on stock return movements (including conditional mean, conditional variance, and transition probabilities) in the U.S. stock market, so as to clearly compare the predictive validity of stable and volatile states, as well as compare the in-sample and out-of-sample portfolio performance of regime switching models. The empirical results show that macro factors can affect the stock return dynamics through two different channels, and that the magnitude of their influences on returns and volatility is not constant. The effects of the three economic variables on returns are not time-invariant, but are closely related to stock market fluctuations, and the strength of predictability in a volatile regime is far greater than that in a stable regime. It is found that interest rate and dividend yield seem to play an important role in predicting conditional variance, and out-of-sample performance is largely eroded when the effects of these two factors on volatility are ignored. In addition, the three macro factors do not play any role in predicting transition probabilities.     

中国推出股指期货的可行性分析

中国股票市场正在经历前所未有的变革，推出股指期货就是其中之一。推出股指期货可以完善证券市场的功能体系。有利于培育投资者的成熟度，进而促进股市与经济运行的关联程度，发挥股市经济“晴雨表”的功能。同时，中国已有17年股票市场和商品期货市场的管理经验，具备了发展股指期货的条件，只要能充分控制其潜在的风险，推出股指期货对整个股票市场是有利的。     

Nonlinear predictability of stock market returns: Evidence from nonparametric and threshold models

Recent empirical evidence suggests that stock market returns are predictable from a variety of financial and macroeconomic variables. However, with two exceptions this predictability is based upon a linear functional form. This paper extends this research by considering whether a nonlinear relationship exists between stock market returns and these conditioning variables, and whether this nonlinearity can be exploited for forecast improvements. General nonlinearities are examined using a nonparametric regression technique, which suggest possible threshold behaviour. This leads to estimation of a smooth-transition threshold type model, with the results indicating an improved in-sample performance and marginally superior out-of-sample forecast results.     

股价同步性与信息效率

本文通过考察股价同步性与信息效率之间的关系,澄清一个近来在金融学术和实务上有些模糊的观点,即经典的CAPM模型所决定的股价同步性,是否意味着企业信息披露更有效？通过比较信息披露指标与同步性测度的回归结果以及进一步根据同步性构造一系列组合收益发现,较低的股价同步性并不意味着更高的信息效率。事实上,较高和较低的股价同步性都意味着比较差的信息披露效率,二者呈现出“倒U”型关系。这为今后的学术研究和实务分析提供了一个新的基础。     

Evidence of a stock market wealth effect using household level data

Using the household level data of urban households in Korea, this paper presents evidence for a statistically significant stock market wealth effect for the highest income bracket households who typically hold a large share of corporate stock.     

市场分割下中国股市反馈交易实证研究——来自A股、B股和H股市场的经验证据

文章在行为资本资产定价模型(BCAPM)的基础上,通过借鉴Watanabe(2002)的方法,建立了GJR-GARCHM(1,1)-M模型,充分考虑中国股票市场处于分割状态的现状,使用基本覆盖A股、B股和H股市场全部交易历史的市场指数日收盘价数据,对A股、B股和H股市场的反馈交易行为进行研究和比较,结果显示:A股和B股市场都存在显著的正反馈交易效应,反馈交易行为主要取决于波动率水平和市场涨跌两个因素;与成熟股票市场类似,H股和红筹股市场的正反馈交易行为不显著;A股市场的反馈交易行为受市场涨跌因素影响更大,而B股市场的反馈交易行为主要由波动率水平决定;深市比沪市更容易出现正反馈交易者主导市场的现象。文章的研究不仅对行为资本资产定价理论的成立提供了经验性证据,而且对投资经理的实践操作和政策制定者的监管调控都具有一定的参考价值。     

天津上市公司会计信息披露存在问题与改进建议

随着我国市场经济的发展，上市公司已成为整个经济体系中重要的组成部分。而上市公司会计信息及其披露则成为现代资本市场监管的核心内容，也是投资者进行投资决策的主要依据。通过对天津上市公司会计信息披露的现状进行分析，可发现其中存在的问题，有助于制定改进措施，以提高整个天津上市公司会计信息的披露质量。     

证券价格的事件性反应——方法、背景和基于中国证券市场的应用

本文对事件研究法在证券市场上的应用进行了综合讨论 ,采用模拟抽样的方法对广泛采用的 3种基本模型结合中国证券的交易数据进行了经验比较 ,结果显示了市场模型的局限性以及均值调整模型在中国市场上的某些优势。     

Comment on “Lessons for Monetary Policy from the Euro-Area Crisis”

This comment discusses and extends the paper: “Lessons for Monetary Policy from the Euro Area Crisis,” by Charles Goodhart. The comment claims the Eurosystem was more sluggish in responding to the crisis than the Federal Reserve due to restrictions originating from its mandate. Yet today’s challenge runs deeper, as the absence of a banking union in the Euro Area has allowed a large fragmentation in financial intermediation. The critical question is: “Given that the Euro Area is not an Optimum Currency Area and a banking union will take a long time to materialize, can the Eurosystem find a way to alleviate the fragmentation in lending rates without compromising its independence?” The comment offers a solution, which would expand the monetary toolbox.     

公允价值与股市过度反应——来自中国证券市场的经验证据

本文以我国2007年至2010年16个季度公告日为样本,以公允价值变动损益和股票回报为观察对象,对公允价值与股市过度反应进行了实证研究。研究发现:(1)股市过度反应与公允价值变动损益显著相关;(2)过度反应主要存在于估计窗口而非事件窗口;(3)我国金融业上市公司的金融资产市值计量模式显著放大了股市泡沫,且在不同的市场条件下,股票回报对公允价值的过度反应程度呈现出非对称性。本文扩展了事件研究法,给出了公允价值引起股市过度反应的具体标准,重点检验了估计窗口的信息含量,使之更加适应于公允价值资产市值计量模式的研究。本文验证了公允价值作为"会计加速器"作用的存在,有助于理解公允价值计量模式对我国金融稳定的影响机理。     

Forecaster Overconfidence and Market Survey Performance

The authors document using the ZEW panel of German stock market forecasters that weak forecasters tend to be overconfident in the sense that they provide extreme forecasts and their confidence intervals are less likely to contain eventual realizations. They further show that moderate filters based on forecast accuracy of past performance over short rolling windows, which delicately balance ignoring relevant information and noise reduction, are somewhat successful in improving predictability. While poor performance can be due to various factors, a filter based on forecaster overconfidence, a prior tendency to have high forecast standard deviations, also improves the performance of market survey forecasts.