Commonalities in the order book

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price, we find that the factor information shares are highest (about 10%) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

市场透明度改变影响交易者行为吗？

基于中国证券市场2003年12月8日提高市场透明度这一事件，本文对市场透明度提高对交易者行为的影响进行了研究。结果发现：市场透明度提高明显改变了交易者的交易策略，主要表现为交易者整体交易指令的激进程度降低，其中交易者减少提交市价指令，增加了撤单的频率。研究还发现，市场透明度提高导致交易者提交价格增进的限价指令的比例下降，而提交小额交易指令的比例增加，同时交易者对交易环境的改变具有学习与逐步适应的能力。     

Informed and uninformed trading on the Australian dollar

Using a high-frequency data set of the spot Australian/US dollar, this study examines the distribution of quotes, spreads, and returns across the trading day. By identifying the direction of trade and the subsequent quote returns from contributing banks, the segmented nature of the market into market-makers and informed and uninformed traders is investigated. The results suggest that the economic gain possible from private information is maximised over 2 to 5 quotes and is rapidly eroded by 20 quotes (about 2 min later during busy trading times) as other new information enters the market. Also, the analysis is revealing of discontinuities in trading and the volatility of pricing across the trading day.     

Liquidity, Transaction Costs, and Reintermediation in Electronic Markets

Relationships between trading cost, technology, and the nature of intermediation in the trading services industry are discussed. Electronic markets are linked to reductions in trading costs. Lower explicit costs are related to system development and operating costs. Electronic order book information is identified as a means of realizing implicit cost savings. The concept of liquidity management in electronic environments is introduced, and its potential is empirically illustrated. The empirical results suggest new roles for brokerage and exchange operations, and competition between the two. Competitive advantage with respect to the provision of liquidity management services is compared across types of intermediaries.     

Money: A Market Microstructure Approach

The new monetary economics predicts that deregulation and financial innovation will lead to a moneyless world. This paper uses a market microstructure approach to show that a common medium of exchange that serves as unit of account will remain a necessary instrument to reduce transaction costs. This finding is supported by empirical evidence from foreign exchange markets.     

The next tick on Nasdaq

The Nasdaq stock market provides information about buying and selling interest in its limit order book. Using a vector autoregressive model of trades and returns, I assess the effect of the entire order book on the next tick. I also determine the influence of individual market makers and electronic networks and find evidence that the identity of market participants can be useful information. Finally, I produce a set of dynamic market price responses to buy and sell orders, and I find that these estimates vary with standard measures of liquidity.     

Applying hedging strategies to estimate model risk and provision calculation

We present an empirical study of the intertwined behaviour of members in a financial market. Exploiting a database where the broker that initiates an order book event can be identified, we decompose the correlation and response functions into contributions coming from different market participants and study how their behaviour is interconnected. We find evidence for the following. (1) Brokers are very heterogeneous in liquidity provision—some appear to be primarily liquidity providers while others are primarily liquidity takers. (2) The behaviour of brokers is strongly conditioned on the actions of other brokers. In contrast, brokers are only weakly influenced by the impact of their own previous orders. (3) The total impact of market orders is the result of a subtle compensation between the same broker pushing the price in one direction and the liquidity provision of other brokers pushing it in the opposite direction. These results enforce the picture of market dynamics being the result of the competition between heterogeneous participants, interacting to form a complex market ecology.     

市场微观结构噪音与MAX效应——基于Fama-French-Carhanr四因子模型的检验

以NYSE、Amex和NASDAQ三大美国证券市场1962年7月至2014年12月的全部普通股为研究样本,利用买卖报价中点、收盘买价和收益加权三种方法消除个股收益和股票组合收益中的价格噪音,对MAX效应进行再检验。同时,考虑到具有极端日收益的股票中NASDAQ占比超过53%这一事实,本文还针对三个交易所做了分市场检验。实证结果没有给出"MAX异象"被解释的证据,表明市场微观结构噪音和Fama-French-Carhanr四因子模型的结合以及市场特点,并不是造成"MAX异象"的原因。