买卖价差与限价指令簿信息：基于时变MRR模型的实证研究

本文的主要目的是研究限价指令簿信息与买卖价差之间的关系。本文引入限价指令簿信息指标作为模型参数的状态变量．提出了时变MRR模型,并基于此模型对中国A股市场买卖价差进行了实证研究。本文实证表明,限价指令簿中所体现出的净卖出（买入）压力对原MRR模型中的流动性成本参数具有显著影响,且这种影响在买单与卖单中是非对称的;限价指令簿中的订单总量,则可以反映出交易流数据中无法反映的信息不对称程度,对原MRR模型中的信息不对称成本参数具有显著影响。另外,通过时变MRR模型估计出的隐含价差的日内走势与真实绝对价差及真实相对价差走势吻合,这说明模型可以较好地反映我国A股市场买卖价差的性质。     

Order aggressiveness and order book dynamics

In this paper, we study the determinants of order aggressiveness and traders’ order submission strategy in an open limit order book market. Applying an order classification scheme, we model the most aggressive market orders, limit orders as well as cancellations on both sides of the market employing a six-dimensional autoregressive conditional intensity model. Using order book data from the Australian Stock Exchange, we find that market depth, the queued volume, the bid-ask spread, recent volatility, as well as recent changes in both the order flow and the price play an important role in explaining the determinants of order aggressiveness. Overall, our empirical results broadly confirm theoretical predictions on limit order book trading. However, we also find evidence for behavior that can be attributed to particular liquidity and volatility effects.

Liquidity commonality in order-driven trading: evidence from the Athens Stock Exchange

We examine the presence of liquidity commonality in the order-driven Athens Stock Exchange (ASE). Unlike the majority of liquidity commonality studies that focus on the bid–ask spread, our analysis extends deeper in the Limit Order Book, providing insight on the price impact of both small and large trades. We utilize a 6-month FTSE/ATHEX-20 intraday data set to estimate the liquidity factor model of Chordia et al. (2000). To this end, we conduct single-equation analysis as well as panel data analysis with the use of two-way clustered errors, correcting for simultaneous firm and time correlations. Moreover, we apply standard principal component analysis on stock liquidities to extract the marketwide liquidity component. We find that liquidity commonality is low at the bid–ask spread, whereas it increases deeper in the book; consequently, large traders face liquidity risks associated with both individual stock and marketwide illiquidity. Moreover, our empirical evidence hints that liquidity commonality is asynchronous, suggesting that the ASE trading process includes various levels of information speed. Our analysis contributes to the understanding of liquidity commonality in order-driven trading, especially in emerging markets like the ASE where trading activity is limited and information speed is low.     

Are moving average trading rules profitable? Evidence from the European stock markets

This article examines the profitability of several simple technical trading rules for 16 European stock markets over the 1990 to 2006 period. Our results indicate that increasing moving average rules indeed have predictive power being able to discern recurring price patterns for profitable trading, even after accounting for the effects of data snooping bias. To assess the profitability of different technical trading rules and strategies, we adopt the White's (2000) Reality Check (RC) test that quantifies the data snooping bias and adjusts for its effects. Our empirical results also support the hypothesis that technical trading rules can outperform the buy and hold strategy after accounting for transaction costs.     

How Does High-Frequency Trading Affect Low-Frequency Trading?

High-frequency trading dominates trading in financial markets. How it affects the low-frequency trading, however, is still unclear. Using NASDAQ order book data, the authors investigate this question by categorizing orders as either high or low frequency, and examining several measures. They find that high-frequency trading enhances liquidity by increasing the trade frequency and quantity of low-frequency orders. High-frequency trading also reduces the waiting time of low-frequency limit orders and improves their likelihood of execution. The results indicate that high-frequency trading has a liquidity provision effect and improves the execution quality of low-frequency orders.     

An empirical analysis of the Shanghai and Shenzhen limit order books

This paper investigates the market microstructure of the Shanghai and Shenzhen Stock Exchanges. The two major Chinese stock markets are pure order-driven trading mechanisms without market makers, and we analyze empirically both limit order books. We begin our empirical modeling using the vector autoregressive model of Hasbrouck and extend the model to incorporate other information in the limit order book. We also study the market impact on A shares, B shares and H shares, and analyze how the market impact of stocks varies cross sectionally with market capitalization, tick frequencies, and turnover. Furthermore, we find that market impact is increasing in trade size. Order imbalances predict the next day's returns, with small order imbalances having a negative effect.     

基于TOE框架的企业采纳RFID决定性因素研究

RFID即无线射频识别技术,是一种发展迅速的物联网技术。近年来,不少企业开始尝试采纳RFID以提高绩效和竞争优势。为了解释企业采纳RFID的决定性因素,研究者借助TOE框架开展了较多的实证研究,从技术背景、组织特征和外部环境的三大维度分析了影响企业采纳RFID的决定性因素。文献分析发现,技术复杂性、技术兼容性、成本、标准不统一、组织准备、高管支持、IT能力、环境不确定性、交易伙伴命令、竞争压力、政府支持和变革推动者是企业采纳RFID的主要决定性因素。研究结论既为RFID应用的相关者提供了管理启示,也指引了未来的研究方向。     

Effects of electronic trading on the Hang Seng Index futures market

This investigation of the switch from open-outcry trading to electronic trading on the Hang Seng Index (HSI) futures contract reveals that the bid–ask spread narrows and the futures price plays more of a role in information transmission. Factors, such as anonymity in trading and fast order execution in electronic trading, attract informed traders to the futures market, enhancing the information flow. Our results provide support for the worldwide trend of transforming open-outcry markets into electronic trading platforms.     

中国股票市场微观结构的特征分析——买卖报价价差模式及影响因素的实证研究

本文根据股票市场微观结构理论 ,运用高频数据对我国深圳股票市场的买卖报价价差的变动模式进行实证分析 ,同时研究股票买卖报价价差的影响因素和成因 ,并建立和检验相应的模型 ,从而揭示我国股票市场的微观结构特征。     

限售股流通与股价效应关系的实证研究

本文运用事件研究法对限售股上市流通的股价效应进行了实证研究。研究结果袁明：限售股的上市流通带来负的股价效应;样本公司的特征及股票的交易特性显著影响股价效应;在累积超额收益率为正的样本中,累积超额收益率与净资产收益率负相关,与区间日均股票换手率、股票每股收益正相关;在累积超额收益率为负的样本中,累积超额收益率与IPO到限售流通股上市流通的时间、账面市值比、区间日均成交量负相关。     

西部地区技术效率增长研究:贸易和FDI,谁更有效?

通过随机前沿分析技术,本文分析了贸易和外商直接投资在技术效率增长中的影响.结合实证分析的结果,本文认为,在西部地区技术效率增长中,利用外商直接投资比单纯的对外贸易规模增长更具有效率.     

碳排放权交易的CO2减排效应研究——基于包含溢出效应的SCM

碳排放权交易是否实现最初的CO₂减排目标需要实证检验,已有的研究未考虑政策溢出效应以及混淆政策的存在,可能导致政策干预效用的错误估计。论文基于地区能源平衡表以及水泥生产数据对CO₂进行测算,并采用包含溢出效应的合成控制模型对我国6个碳排放交易试点省份的减排效用分别进行了估计,该模型放松了“非实验单元不受干预效应影响”的假定,在溢出效应以及类似政策存在的情况下仍能得到无偏的估计。为了保证估计结果的稳健性,对效用估计值进行了安慰剂、溢出权重设定以及合成权重三方面的检验,探索了各试点碳交易市场的减排效用在量以及趋势上的差异,为全国统一碳交易市场的构建提供定量的依据。     

Estimating technology in the postal sector: a Bayesian approach

The aim of this article is to study the technology of the sector represented by the Spanish national post-office and telegraph service, Sociedad Estatal Correos y Telégrafos, S.A. trading as Correos, and denominated as such hereafter. Concretely, we analyse economic efficiency (technical and allocative) and scale economies of the production units (cost centres) of Correos. To do this, we employ a methodology based on an input distance function which is the dual of the cost function. Moreover, and applying duality theory, we develop an economic model to assess the effect of postal infrastructures on the operators’ costs. In order to carry out the empirical model, Bayesian econometrics is applied to estimate the parameters in the input distance function and the technical and allocative efficiency terms.     

Liquidity supply and adverse selection in a pure limit order book market

This paper analyzes adverse selection costs and liquidity supply in a pure open limit order book market. We relax assumptions of the Glosten/Såndas modeling framework regarding marginal zero profit order book equilibrium and the parametric market order size distribution. We show that using average zero profit conditions considerably increases the empirical performance while a nonparametric specification for market order size combined with marginal zero profit conditions does not. A cross sectional analysis corroborates the finding that adverse selection costs are more severe for smaller capitalized stocks. We also find additional support for one of the central hypothesis put forth by the theory of limit order book markets, which states that liquidity supply and adverse selection costs are inversely related. Furthermore, adverse selection cost estimates based on our structural model and those obtained using popular model-free methods are strongly correlated. This indicates the robustness of the theory-based approach.     

Methodical Madness: Technical Analysis and the Irrationality of Exchange-rate Forecasts

Substantial empirical research documents that exchange-rate forecasts are not formed rationally. This paper identifies a common technical trading signal, the head-and-shoulders pattern, as a potential source of departures from rationality in exchange-rate forecasts. Forecasts based on this pattern are evaluated for daily dollar exchange rates over 1973 to 1994, using two criteria for rationality: profitability and efficiency. Resulting profits, replicable in real-time, are tested for statistical significance using a bootstrap technique. We find that the rule is profitable, but not efficient, since it is dominated by simpler trading rules.     

Informed trade,uninformed trade and stock price delay

The probability of informed trading (PIN), a measure of information-based trading risk, has been broadly applied to empirical studies on asset pricing. However, it is still controversial whether PIN measures exclusively the risk of firm-specific private information or it also captures the private interpretation of market wide public information. This article examines the relevance of PIN to the delayed response of stock prices to market-wide information. We find that PIN significantly explains individual stock price delay even controlling for size, liquidity and risk, and low-PIN stock prices adjust to market information more rapidly not only because of a notably high level of informed trading but also an even much higher level of uninformed trading. Our findings support the notion that PIN also captures the private skilled interpretation of public common factor information by sophisticated investors, and provide new empirical evidence on how information-based trading affects the speed at which stock prices adjust to information.     

Construction and Evaluation of Trading Systems: Warsaw Index Futures

This paper presents and compares 15 trading systems constructed for the Warsaw Stock Exchange futures contracts. These trading systems are constructed applying technical analysis and artificial neural networks (ANN). The efficiency of constructed trading systems is measured by the profit, which could be gained on the analyzed market when an investor uses various methods of buy and sell signals generating. Investigation is conducted for daily observations of stock index WIG20 futures from December 1, 1999 to November 28, 2003. The conclusion is that the combination of the technical analysis and artificial intelligence in order to gain profit from trading on the Polish futures market can bring much better investment results than trade in the traditional way (JEL G10, C45).     

Globalisation and the Market for Team-Mates

The globalisation of firms is explored at theoretical and empirical levels. The idea is that a global firm is a multi-cultural team. The existence of a global firm is somewhat puzzling. Combining workers who have different cultures, legal systems, and languages imposes costs on the firm that would not be present were all workers to conform to one standard. In order to offset the costs of cross-cultural dealing, there must be complementarities between the workers that are sufficiently important to overcome the costs. The search for the 'best practice' is analysed and empirical support from an examination of trading patterns is provided.     

内幕交易违法所得认定问题研究

为验证潜在概率违法所得法(即PPD法)在认定股市内幕交易违法所得方面的可行性以及实际效果,运用该方法对我国沪深两市发生内幕交易的个案进行了违法所得额的模拟计算。结果表明,PPD法的实证效果欠佳,无法发挥其优势,目前应继续采用实际收益法和潜在确定性违法所得法对上市公司的违法所得进行认定,同时建议补充制定"实际减损"标准。     

OPTIMAL WEIGHT FOR REALIZED VARIANCE BASED ON INTERMITTENT HIGH‐FREQUENCY DATA*

Japanese stock markets have two types of breaks, overnight and lunch, during which no trading occurs, causing an inevitable increased variance in estimating daily volatility via a naive realized variance (RV). In order to perform a more stabilized estimation, we modify Hansen and Lunde's weighting technique. As an empirical study, we estimate optimal weights by using a particular approach for Japanese stock data listed on the Tokyo Stock Exchange, and then compare the forecast performance of weighted and non‐weighted RV through an autoregressive fractionally integrated moving average model. The empirical result indicates that the appropriate use of the optimally weighted RV can lead to remarkably smaller estimation variance compared with the naive RV, in many series. Therefore a more accurate forecasting of daily volatility data is obtained. Finally, we perform a Monte Carlo simulation to support the empirical result.