股票、股指期货跨市场信息监管的国际比较及借鉴

股指期货推出后,股票市场和股指期货市场跨市场信息监管成为金融监管机构亟待解决的问题。本文以金融市场微观结构理论和信息经济学为基础,结合股指期货和股票市场的风险关联特性,研究信息在股指期货市场和股票市场传导的一般规律,并分析了跨市场信息监管在信息传导过程中的作用;以此为基础,分析比较了海外证券市场跨市场信息监管具体运作体系,并结合我国证券市场特殊性提出我国股票市场和股指期货市场跨市场信息监管框架、流程和以跨市场信息监管为核心的监管手段。     

City Markets as a Unit of Analysis in Audit Research and the Re-Examination of Big 6 Market Shares

Big 6 market shares based on aggregate national data have been used in prior research to infer market leadership and industry expertise, and to differentiate Big 6 accounting firms from one another. In this study it is demonstrated that further differences exist with respect to city-specific audit markets, both between firms and within the same firm across different city markets. The specific finding is that the national market leader is not the city-specific market leader the vast majority of time. Usefulness of the city-level unit of analysis is further demonstrated by re-examining the 1989 mergers creating Ernst & Young and Deloitte Touche. The primary effect of the Ernst & Young merger was to increase market shares in cities in which the pre-merger firms already had significant market shares, resulting in an increase in the number of cities in which the merged firm achieved top ranking. In contrast, the primary effect of the Deloitte Touche merger was an expansionof the number of city-level markets in which the merged firm had significant (though not leading) market shares. The findings of this study suggest that, in order to move beyond our current understanding, important audit research questions such as the reason for particular auditor–client alignments, the competitive nature of markets, audit pricing of reputations, and auditor reporting and independence issues should be investigated in city-level markets where audit contracting occurs and where Big 6 market shares (and presumably reputations) vary widely from city to city.     

House Price Index Construction in the Nascent Housing Market: The Case of China

Most existing house price index construction methods are developed mainly based on transaction data from the secondary housing market, and are not necessarily suitable for the nascent housing markets where a predominant portion of housing transactions are new units. Using the booming market in China as an example, we evaluate and compare the performances of three most common house price measurement methods in the newly-built housing sector, including the simple average method without quality adjustment, the matching approach with the repeat sales modeling framework, and the hedonic modeling approach. Our analyses suggest that the simple average method fails to account for the substantial complex-level quality changes over time of sales during our sample period, and the matching model fails to control for the effect of developers’ pricing behaviors when adopted in the newly-built sector, hence both are downward biased. Based on this finding, we apply a hedonic method, which allows us to control for both quality changes over time of sales and developers’ pricing behaviors, to 35 major newly-built housing markets and provide the first multi-city constant-quality house price index in China. The new index reveals that the current Chinese housing market is facing a greater risk of mispricing than reported by the existing official metrics.     

行为模型新解及其实证检验

在以信息逐步扩散和投资者有限理性为主要假设的行为模型中,特定信息交易者和市场信息交易者的比例对股价行为有着重要影响：当特定信息交易者占多数时,个股收益更容易呈现正自相关;当市场信息交易者占多数时,个股收益更容易呈现负自相关。该模型可以解释成熟股市中存在基于总收益的动量效应,而中国股市中不存在基于总收益的动量效应,仅存在基于公司特定收益的动量效应;并解释了市场平均收益呈现负自相关等。另外,实证分析支持了传统的CAPM和APT定价模型中的带越小,动量效应越显著的结论。     

Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets

This paper investigates information transmission and price discovery in informationally linked markets within the multivariate generalized autoregressive conditional heteroskedasticity and information share frameworks. Based on both synchronous and non-synchronous trading information from Chinese futures/spot markets, the New York Mercantile Exchange (NYMEX), Chicago Board of Trade (CBOT), and CME Globex futures markets for copper and soybeans, we show that there is a bidirectional relationship in terms of price and volatility spillovers between US and Chinese markets, with a stronger effect from US to Chinese markets than the other way around. Additionally, the NYMEX and CBOT play a more important role than the CME Globex in the flow of information from US to Chinese markets. Moreover, we find that Chinese copper market adjusts more quickly than the NYMEX copper market to correct the disparity between both markets. However, the converse is true in the case of soybeans. Finally, our results highlight the remarkable role of Chinese futures markets in the price formation process, though NYMEX and CBOT futures markets are the main driving force in price discovery.     

Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?

This paper assesses the potential influence of the growing CDS market on the borrowing cost of sovereign states during the European sovereign crisis. We analyze the sovereign debt market to ascertain the pattern of information transmission between the CDS and corresponding bond markets. Our methodological innovation is the use of a non-linear specification rather than the linear VECM specification customarily employed. Using a panel smooth transition model during the 2008–2010 period, we find that: 1) linearity tests clearly reject the null hypothesis of a linear transmission mechanisms between the bond and the CDS markets; 2) market distress alters the mutual influence and 3) the higher the distress the more the CDS market dominates the information transmission between CDS and bond markets.     

国内外黄金市场价格间的联动关系稳定吗?——基于外部冲击视角的分析

在全球金融市场不断开放和融合的大背景下,黄金市场不但与外部市场频繁互动,其系统内部的联动关系也变得极为多元和复杂,黄金市场间的价格联动反映了信息和风险在不同市场间的传递过程。黄金价格通常会受到外部因素干扰而产生波动,但市场间的联动关系是否会因此而改变是值得重点关注的问题,黄金市场功能的有效性及稳固的市场关系是投资者利用全球黄金市场进行对冲和避险的先决条件,同时也关系到整个金融市场的稳定性。本文将研究重点聚焦于黄金市场内部,在研究中外各主要黄金市场间动态相关性和波动溢出效应的同时引入外部冲击以检验不同因素对黄金期货、现货市场间联动关系的影响从而探讨国内外黄金市场间价格联动的稳定性问题。结果表明:中国与全球主要黄金期货、现货市场间整体上保持了正相关关系,同时与各主要黄金市场间均存在显著的波动溢出效应。在一般市场条件下,外部冲击并没有显著改变中国与全球主要黄金期货、现货市场间的联动关系,表明黄金市场内部的价格联动具有较强的稳定性。     

The impact of interest rates,income, and employment upon regional housing prices

The objective of this article is to identify important differences in the way new housing prices react to local and national economic factors. The study finds that regional housing prices react uniformly to certain national economic factors, such as mortgage rates. On the other hand, local factors such as population shifts, employment, and income trends often have a unique impact on housing prices. The study rejects the hypothesis of a single national housing market in favor of one that allows for broad national trends to be superimposed upon unique regional markets.     

信息不对称、过度自信与股价变动

信息传导的非同步和投资者情绪变化是股票市场的两个典型特征,前者会引发投资者之间出现信息不对称问题,后者主要体现为投资者过度自信,两者共同作用影响股票价格变动。本文将信息不对称和投资者过度自信情绪置于同一个分析框架,建立两阶段动态序贯定价理论模型研究现实市场上信息传导过程中股价变动的内在机制。结果表明:(1)面临新信息的进入,投资者对股票收益预期的调整与均衡价格之间具有正相关关系;(2)面临有利消息时,过度自信投资者比例越大,股票的均衡价格越高,投资收益将越低;面临不利消息时则相反;(3)随着过度自信投资者比例以及过度自信程度升高,市场风险溢价将下降;(4)投资者群体在信息传导过程中出现分化,对股价变动形成异质信念,未获取信息和获取信息但未出现过度自信的投资者认为股价被高估,获取信息且出现过度自信的投资者认为价格被低估,促使更多的交易,引发市场成交量和股价变动;(5)过度自信投资者比例与过度自信程度提高均会对市场效率产生正向影响,而对市场深度具有负向效应。最后,基于理论结果对非对称性和持续性等典型的市场波动性特征进行解释。     

Information transmission between the Gulf equity markets of Saudi Arabia and Bahrain

This paper examines whether the emerging Gulf markets of Saudi Arabia and Bahrain in conjunction with the US market exhibit cointegrating relationship. Additionally, the transmission of information and volatility spillover between the Gulf markets is explored using a bivariate EGARCH model. We find that although the markets are not cointegrated, the Gulf markets do share information flows. Specifically, we observe an asymmetric spillover of volatility from the smaller though more liberal and accessible Bahraini market to the larger and less accessible Saudi market. The observed difference in information processing may partly be due to a well-developed Bahraini financial sector that encourages wider participation by international investors who play a significant role in assimilating new information.     

Breakeven Determination of Loan Limits for Reverse Mortgages under Information Asymmetry

Since the loan limit of a reverse mortgage is a major concern for the borrower as well as the lender, this paper attempts to develop an option-based model to evaluate the loan limits of reverse mortgages. Our model can identify several crucial determinants for reverse mortgage loan limits, such as initial housing price, expected housing price growth, house price volatility, mortality distribution, and interest rates. We also pay special attention to the important implication of mortgage lenders’ informational advantage over reverse mortgage borrowers concerning housing market risk. In reverse mortgage markets, the elderly borrowers typically hold far less, relative to the lenders, or no information about the lenders’ underlying mortgage pools. Such information asymmetry leads these two categories of market participants to generate different perspectives on the risk of the collateralized properties, which can be identified to be important in determining the maximum loan amounts of reverse mortgages. We further find that the maximum loan amount of a reverse mortgage decreases in the correlation between the returns on the pooled underlying housing properties but increases with the number of the pooled mortgages.     

Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures

We provide empirical evidence on the patterns of intra- and inter-regional transmission of information across 10 developed and 11 emerging markets in Asia, the Americas, Europe and Africa using both stock indices and stock index futures. The main transmission channels are examined in the period from 2005 to 2014 through the analysis of return and volatility spillovers around the most recent crises based on the generalized vector autoregressive framework. Our findings demonstrate that markets are more susceptible to domestic and region-specific volatility shocks than to inter-regional contagion. A novel result reported in our study is a difference in patterns of international signals transmission between models employing indices and futures data. We conclude that futures data provide more efficient channels of information transmission because the magnitude of return and volatility spillovers across futures is larger than across indices. Our findings are relevant to practitioners, such as stock market investors, as well as policy makers and can help enhance their understanding of financial markets interconnectedness.     

Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach

Maritime market relies on demand of international commodity trade from producers to consumers. Focusing on measuring the inherent correlation, this paper employs a GARCH-Copula-CoVaR approach to address the debate on the extreme risk spillovers from commodity market to maritime market. Our results provide new evidence regarding risk transmission from oil and ex-energy sector to the maritime markets, as well as the interactions between different sub-sectors of maritime market. It is also found that commodity markets exert different spillover effects on global and Chinese domestic maritime markets. In additional, the risk spillovers in oil-freight index pairs after global financial crisis is different from the before. Results enrich the knowledge of risk spillovers between commodity and maritime market, which help stakeholders improve portfolio optimization.     

Information Flows Between the U.S. and China Commodity Futures Trading

Using a bivariate GARCH model, we examine patterns of information flows for three commodity futures traded in both the developed U.S. market and the emerging China market (copper, soybeans and wheat). For copper and soybeans, the two commodities that are subject to less government regulation and fewer import restrictions in China, we find that the U.S. futures market plays a dominant role in transmitting information to the Chinese market, a result that confirms the importance of the U.S. role as a leader in the global financial market. For the heavily regulated and subsidized wheat commodity, our empirical results indicate that the U.S.-China futures markets are highly segmented in pricing, although information transmission via volatility spillover across markets is present.     

限购政策是否降低了上市房地产企业价值？——基于强度双重差分法的经验研究

完善住房市场体系是国民经济中的重要议题,限购政策作为政府稳定和调节房地产市场的主要手段,对房地产企业以及住房市场体系建设均有重要影响。本文利用上市房地产企业2008—2013年以及2015—2019年的相关数据,通过构建强度双重差分模型实证分析了两轮限购对上市房地产企业价值的影响及其作用路径。实证结果表明:第一,两轮限购政策均显著降低了上市房地产企业市场价值,当企业在限购城市销售占比越大时,价值下降幅度越大;第二,从企业经营绩效来看,两轮限购对其实际盈利和营运能力并未产生显著影响,第一轮提高了企业偿债的经营风险,而第二轮只是影响了企业的资产增长能力;第三,两轮限购对房地产市场产生异质性影响,第一轮并未显著影响房价上涨,而第二轮则显著遏制了房价上涨;第四,从股票市场看,第一轮限购主要是通过企业经营风险影响投资者预期,而第二轮限购则是通过影响房价来改变投资者预期,这进一步凸显了“房住不炒”的政策作用。本文的研究意义主要体现在制定与推进政策时应关注预期的作用,这对于当前“房住不炒”政策的长期实施及其政策效果的长期稳定都具有一定启示。     

私人信息、公开信息与中国的金融市场参与

金融市场的发展能够为长期的经济增长提供动力,家庭对金融市场的有限参与是制约金融发展的重要因素之一。2015年中国绝大多数家庭未能参与金融市场。本文采用倾向得分匹配方法考察了私人信息和公开信息对家庭金融市场参与的影响以及两者的影响差异。基于2015年CGSS数据集的分析结果显示,家庭拥有金融市场私人信息或者能够充分获取公开信息都会显著提升其参与金融市场的概率。家庭获取公开信息的渠道越广泛,经由各种渠道获取的公开信息越多,参与金融市场的概率就越高。总体而言,充分获取公开信息比拥有私人信息对家庭金融市场参与的影响更大,这是源于个体对两种信息质量预期的不同。公开信息具有比私人信息更广泛的信息来源和更强的可验证性,这提升了家庭对公开信息质量的预期,为其提供了参与金融市场的更大激励。对中国而言,改善政策制定和执行的效率以及政策承诺的可信性有助于提升家庭对公开信息质量的预期,从而鼓励家庭参与金融市场。     

中国公募基金挖掘了股票市场异象吗？

公募基金是我国重要的机构投资者之一,分析其投资逻辑对理解机构投资者行为和公募基金的选择至关重要。基于2005年至2019年主动管理偏股型开放式基金数据,本文检验了公募基金对A股市场87个异象因子的挖掘。为解决因子维度过大问题,本文采用非参方法从87个异象因子中提取有效信息的综合指标A-Score,并根据基金持仓构建基金的异象投资指标AIM(Anomalies Investing Measure)。结果显示:(1)中国公募基金挖掘了市场异象;(2)利用AIM可以选择表现更好的基金,并能获得0.45%的月度多空组合收益;(3)基金经理的选股能力、风格选择能力和风控能力是其挖掘异象收益的主要来源;(4)异象挖掘可以为基金带来长期资金流,同时也缓和了市场的错误定价。     

INTERNATIONAL TRANSFER OF PRICING INFORMATION BETWEEN DUALLY LISTED STOCKS

International multiple listing offers a unique opportunity to study the efficiency of information transmission across national markets. The knowledge gained from observing a stock of the same company priced in multiple markets differs from what may be gained from observing relations across markets of aggregate price indices. We investigate five companies based in Israel whose stocks are listed on both the Tel Aviv Stock Exchange and NASDAQ. Our empirical tests of causality in price changes use the side-by-side Box-Jenkins ARIMA models and the Sims VAR model. Overall, the results show that price causality in dually listed stocks is unidirectional from the domestic market to the foreign market.     

Linkages among European and world stock markets

Causal relations and dynamic interactions among equity returns in ten countries for the period 1983–1994 are analysed. An innovation accounting approach based on a multivariate vector autoregressive (VAR) model is used to estimate the proportion of each market return's forecast error attributable to innovations in foreign market returns. Three major results appear. The variance decompositions indicate a strong degree of economic interaction among stock markets. The US stock market has a considerable influence on stock market performance in almost every country, while there is no substantial inter-continental influence from the European stock markets on the world's two largest equity markets in New York and Tokyo. Finally, the pattern of the impulse-response functions illustrates a rapid international transmission of stock market events, supporting the hypothesis of international stock market efficiency.     

住房资产对中国家庭风险金融资产配置的影响研究

随着时代的发展,住房资产与金融资产的联系越来越紧密,逐渐向住房资产金融产品化发展,成为一种新型金融产品,呈现出货币化和金融化的趋势。本文使用probit模型、普通最小二乘法(OLS)、中介效应以及调节效应,采用2015年中国家庭金融问卷调查微观数据(CHFS)对住房资产价值细化,从住房增值、住房贷款和住房总值三个方面对居民家庭风险金融市场进入和风险金融资产配置的影响进行研究。研究发现:(1)住房总值和住房增值对居民家庭是否参与金融市场呈现显著的负向影响,住房贷款对其具有正向影响。(2)住房贷款对居民家庭风险金融资产投资有负向影响,住房增值和住房总值对其有正向影响。(3)幸福感在居民家庭是否参与金融市场和住房增值中存在部分中介效应,安全感在居民家庭风险金融投资和住房贷款之间存在部分中介效应,未来预期在居民家庭是否参与金融市场与居民家庭是否拥有住房贷款中存在调节效应。最后,根据实证结果提出完善金融市场和优化居民金融资产结构的政策建议。