Order Imbalance and Individual Stock Returns


Book Description

This paper studies the relation between order imbalances and daily returns of individual stocks. Our tests are motivated by a theoretical framework, whose distinguishing feature is that it explicitly considers how market makers with inventory concerns dynamically accommodate autocorrelated imbalances. Persistence in imbalances arises because agents split their orders over time to minimize expected trading costs. In equilibrium, continuing price pressures caused by autocorrelated imbalances cause a positive relation between lagged imbalances and returns over daily horizons. However, this positive relation reverses sign after controlling for the current imbalance. We find empirical evidence consistent with all of these implications of the model. We also find that imbalance-based trading strategies yield statistically significant returns, the magnitude of which is moderate enough to be consistent with an equilibrium wherein intermediaries with inventory concerns accommodate persistent trader demands.




ISO Order Imbalances and Individual Stock Returns


Book Description

This paper studies the relation between intermarket sweep order, ISO, order imbalances and daily returns of individual stocks. I show that ISO order imbalances positively affect contemporaneous returns. Second, I find that price pressures emanating from ISO imbalances are persistent and result in predicting positive cumulative abnormal returns up to two months. The predictive power of ISO order imbalances on contemporaneous and future abnormal returns is stronger in small-sized firms. Finally, I analyze the herding among ISO order imbalances and find strong commonality exists in ISO order imbalances, particularly in large-sized firms. In contrast to previous studies, my results indicate that ISOs contribute to both short- and long-term price and return formation.




Price Formation with Autocorrelated Order Flow


Book Description

This paper studies the relation between order imbalances and daily returns of individual stocks. Our tests are motivated by a theoretical framework, whose distinguishing feature is that it explicitly considers how market makers with inventory concerns dynamically accommodate autocorrelated imbalances. Persistence in imbalances arises because agents split their orders over time to minimize expected trading costs. In equilibrium, continuing price pressures caused by autocorrelated imbalances cause a positive relation between lagged imbalances and returns over daily horizons. However, this positive relation reverses sign after controlling for the current imbalance. We find empirical evidence consistent with all of these implications of the model. We also find that imbalance-based trading strategies yield statistically significant returns, the magnitude of which is moderate enough to be consistent with an equilibrium wherein intermediaries with inventory concerns accommodate persistent trader demands. Our results shed light on the role of inventory effects in daily stock price movements.




Stock Market Liquidity


Book Description

Brings together today's best financial minds across the world to discuss the issue of liquidity in today's markets. It is often proxied by trade-based measures (such as trading volume, frequency of trading, dollar value of shares trade, etc), order based measures and price impact measures.




Order Imbalance and Abcdrmal Return Around Seasoned Equity Offerings in TSE-Listed Firms


Book Description

Traditionally, volume has provided the link between trading activity and returns. This study attempts to not only investigate the trading behavior of all aspects of investors by daily order imbalances, the better index than dollar volume, around firm-specific news releases, but also explore the relation between order imbalances and daily returns. This study contributes to the shot-run market reactions and trading behaviours from different three or five kinds of investors around seasoned equity offerings announcement in Taiwan. We have examined 306 SEOs listed on Taiwan stock exchanges from 1995 to 1998, and test five subsequent SEO-related signaling dates, such as the shareholders conventions date, the formal announcement date, the ex-right date and the listed date. Our findings indicated the anomalies on returns and order imbalance did exist with the publication of SEO news in Taiwan. The negative information effect is significant on the shareholders convention date. Further we find a strong relation between order imbalance from individuals and daily return in the five day window. We infer that individual investors are extreme sensitivity to any news released and that the majority of traders in TSE are comprised by individual can explain the phenomenon. Finally, we also find not only correlation among different type of traders but also that returns, cash per share and the interest rate influence trading decision deeply.




Liquidity, Markets and Trading in Action


Book Description

This open access book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call rictions It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun. Each of the chapters is designed so that it can be used as a stand-alone module in an existing economics, finance, or information science course. Instructor resources such as discussion questions, Powerpoint slides and TraderEx exercises are available online.







Order Imbalance and Returns


Book Description

The paper explores the lead-lag relationship between the variables of order imbalance and return in futures and spot markets. Order imbalance is defined as the difference between buyer and seller initiated trades. Using tick test, the trades have been classified as buyer and seller initiated. The paper finds positive correlation between the variables of order imbalance in the futures market and the returns in the spot market. This relationship is further explored using a VAR framework for daily as well as a shorter interval of 120 min. The results reveal that even after controlling for lagged futures and spot returns, the futures market imbalance has a significant effect on spot market returns.




Common Effects in Imbalances and Returns


Book Description

This paper examines common effects in monthly imbalances for New York Stock Exchange stocks over the period 1988 through 2004. Order imbalances for both individual stocks and portfolios display size and book-to-market based commonality that transcends marketwide effects. The three common factors in imbalances account for more than one-third of the explanatory power of the three-factor model of Fama and French (1993) and display predictable variation over the business cycle. Specifically, an improvement (deterioration) in economic conditions is associated with an increase (decline) in buying pressure for stocks in general, with the effects being stronger for small stocks than big stocks and for value stocks than growth stocks. These results are consistent with flight-to-quality patterns in trading and support a state variable interpretation of the size and value premiums in returns.




One-Month Individual Stock Return Reversals and Industry Return Momentum


Book Description

There is a large stream of literature that documents one-month return reversal patterns for individual stocks. Some studies term this reversal pattern overreaction, while others simply skip one-month returns in order to examine longer term momentum patterns in stocks. At the same time, the literature documents that momentum patterns in stock returns tend to be related to momentum patterns in returns to industry portfolios. Further, industry portfolios tend to exhibit return momentum, even at one-month horizons. This paper examines the relationship between individual stock return reversals and industry momentum. We find that individual stock return reversals tend to be related to return reversions within industries. Thus, the predictions of the overreaction hypothesis do not hold, market-wide, but rather within industries. This leads to a dramatically different trading strategy than those suggested by either the overreaction hypothesis or by industry momentum. That is, a strategy that buys the losers within the previous month's winning industry and shorts the winners in the previous month's losing industry significantly outperforms an overreaction-based strategy that simply buys losers and shorts winners in the market overall, and it outperforms a industry-momentum-based strategy that simply buys the previous month's winning industry portfolio and shorts the previous month's losing industry portfolio.