中美黄金市场的价格发现和动态条件相关性研究

本文运用向量误差修正模型、Hasbrouck信息份额分析法和Engle(2002)提出的动态条件相关多元GARCH模型,研究从2004年11月18日至2008年11月17日期间,中国黄金市场与美国黄金市场的价格发现和动态条件相关性。实证结果发现:中国黄金市场现货和美国黄金市场期货、ETF三者间存在长期均衡关系,美国黄金市场ETF和期货在价格发现过程中居主导地位;中美黄金市场间的相关性随时间变化而动态改变,上海黄金交易所开设夜市交易及延长夜市交易时间,增加了两个市场的关联性,但中国黄金期货的推出和2008年全球金融危机的加深,又使中美黄金市场间的相关性有所降低。     

The fall of high-frequency trading: A survey of competition and profits

We investigate high-frequency trading (HFT) strategies, inventorying the strategies already studied in the literature and introducing innovative strategies detected by private institutional research. To this end, we expand the existing classification, and we offer names for new categories. In a complementary but original manner, we introduce counter reactions from professional traders in response to HFT predatory strategies. These human answers reverse the usual framework of competition between high-frequency traders (HFTs) and low frequency traders (LFTs) and also widen this cadre to HFTs algos (predators) versus execution algos.This survey notes that a continuous increase in competition, between high-speed trading algorithms themselves through predatory strategies and from professional human traders adapting and building adequate responses has made the business more difficult and has led to shrinking profits for HFT. In the end, we believe that excessive competition and a change in the current regulation (favorable to HFT) could kill the goose that laid the golden egg.     

Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets

This paper examines empirical contemporaneous and causal relationships between trading volume, stock returns and return volatility in China's four stock exchanges and across these markets. We find that trading volume does not Granger-cause stock market returns on each of the markets. As for the cross-market causal relationship in China's stock markets, there is evidence of a feedback relationship in returns between Shanghai A and Shenzhen B stocks, and between Shanghai B and Shenzhen B stocks. Shanghai B return helps predict the return of Shenzhen A stocks. Shanghai A volume Granger-causes return of Shenzhen B. Shenzhen B volume helps predict the return of Shanghai B stocks. This paper also investigates the causal relationship among these three variables between China's stock markets and the US stock market and between China and Hong Kong. We find that US return helps predict returns of Shanghai A and Shanghai B stocks. US and Hong Kong volumes do not Granger-cause either return or volatility in China's stock markets. In short, information contained in returns, volatility, and volume from financial markets in the US and Hong Kong has very weak predictive power for Chinese financial market variables.     

Transmission of movements in stock markets

The paper analyses the relationships between three stock markets: New York, Tokyo and Frankfurt. The non-simultaneity of the trading times in these three markets determines the results of cross-correlations and regressions with daily returns. To cope with this and other problems, an empirical model is proposed and estimated. This model allows the separation of the ability to influence and the sensitivity of the different markets, and New York is found to be the most influential market, with Tokyo the most sensitive.     

Rhetoric versus Reality: Exploring Consumer Empowerment in a Maternity Setting

This study explores consumer empowerment in a maternity setting in the Republic of Ireland. Our results indicate that empowerment is a complex phenomenon influenced by many variables. While the current health services literature is focusing on active consumers of health services, our study shows that not all pregnant women have the same needs for and attitudes toward empowerment: some women do indeed seek to be overtly empowered in the maternity setting and equate empowerment with a high level of control over the service provision; others pursue a more passive role but may still experience such a role as empowering. A theoretical discussion focusing on the complexities of empowerment and issues of power and authoritative knowledge in cultural systems concludes this paper.     

银行卡支付平台竞争绩效及其生存区间分析

银行卡支付平台具有双边市场属性,其交叉网络外部性强度深刻地影响着整个电子支付行业竞争格局。研究采用一个两阶段博弈模型分析银行卡支付平台竞争绩效及其生存区间,结果表明“赢者通吃”并非银行卡市场的常态,平台共存的条件在于交叉网络外部性要么足够大,要么就是足够小。     

期货市场操纵的认定：美国经验及其启示

基于美国期货市场的实践和学术界的相关研究,提出了期货市场操纵的定义,归纳了期货市场操纵的类型和手法。通过几个典型判例分析了美国在对期货市场操纵进行认定上的经验,并介绍了国外学术研究在市场操纵的判断依据和方法上的进展。在此基础上,得出了美国经验与国外学术研究对中国期货市场规范发展的启示。     

心理还是实质:汶川地震对中国资本市场的影响

本文通过汶川地震这一独特自然事件,用公司与震中距离来衡量地震导致的投资者负面情绪(如焦虑和恐惧),研究汶川地震对中国资本市场造成的影响。与现有文献关于投资者情绪能够影响股票收益率的研究相一致,本文发现地震后12个月内(2008.6—2009.5),距离震中越近的公司,股票收益率越低。在控制了风险因素后,震中500公里以内的股票收益率显著为负,平均为每月-3%左右,而500公里以外的股票收益率不显著。并且公司与震中距离每增加1000公里,其年收益率平均升高3%。进一步分析发现,该现象地震前不存在,与系统风险的变化无关,并且不能由地震造成的实质经济损失来解释。总之,本文的研究表明汶川地震导致的投资者负面情绪能够影响股票收益率。     

Effect of Macro Factor Volatility on the Returns of Financial Sector in Southeast Asian Stock Markets

The emphasis of this study is on the practice of the Pooled Mean Group （PMG） estimators to investigate the magnitude of macroeconomic performances： Real Gross Domestic Product （RGDP）, Foreign Exchange Rate （EX）, and Deposit Interest Rate （DINT） affecting on the rate of financial sector returns in Southeast Asian Stock Markets including Stock Exchange Of Thailand （SET） index （Thailand）, the Kuala Lumpur Composite Index （KLSE） index （Malaysia）, Financial Times Share Index （FTSI） （Singapore）, Philippine Stock Exchange （PSE）, and the Jakarta Composite Index （JKSE） （Indonesia）. The Panel Autoregressive Distributed Lag （Panel ARDL） is applied to model the relations. The study applies the Levin, Lin, and Chu （LLC） test （2002） and Im, Pesaran, and Shin （IPS） test （2003） to investigates a set of time series data to examine whether the determinants and the rate of financial sector returns contain a unit root, the next step is investigated the cointegration and causality relationship of the determinants of financial sector influencing on long-run rate of returns of financial sector in Southeast Asian Stock Markets.     

Estimation of global systematic risk for securities listed in multiple markets

In this era of rapid globalization of financial markets there has been a substantial increase in cross-listings of stocks in foreign and regional capital markets. As many as a third to a half of the stocks in some major exchanges are foreign listed. The multiple listings of stocks has major implications for the concept of systematic risk. This paper demonstrates that the estimator for systematic risk and the methodology itself changes when stocks are listed in multiple markets. The paper suggests general procedures, using maximum information from the multiple markets, to obtain the estimator of beta under a variety of assumptions about the error terms of the market models in the different capital markets. The assumptions pertain both to the volatilities of the abnormal returns in each market, and to the relationship between the markets.