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Author: William M. Cready
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The use of observed transaction sizes to differentiate between “small” and “large” investor trading patterns is widespread. A significant concern in such studies is spurious effects attributable to misclassification of transactions, particularly those originating from large investors. Such effects can arise unintentionally, strategically, or endogenously. We examine comprehensive records of a sample of institutional investors (i.e., “large” traders), including their order sizes and overall position changes, to assess the degree to which such misclassifications give rise to spurious inferences about “small” and “large” investor trading activities. Our analysis shows that these institutions are heavily involved in small transaction activity. It also shows that they increase their order sizes substantially in announcement periods relative to nonannouncement periods, presumably as an endogenous response to earnings news. In the immediate earnings announcement period, transaction size-based inferences about directional trading are quite misleading -- producing spurious “small trader” effects and, more surprisingly, erroneous inferences about “large trader” activity.
Author: William M. Cready
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The use of observed transaction sizes to differentiate between “small” and “large” investor trading patterns is widespread. A significant concern in such studies is spurious effects attributable to misclassification of transactions, particularly those originating from large investors. Such effects can arise unintentionally, strategically, or endogenously. We examine comprehensive records of a sample of institutional investors (i.e., “large” traders), including their order sizes and overall position changes, to assess the degree to which such misclassifications give rise to spurious inferences about “small” and “large” investor trading activities. Our analysis shows that these institutions are heavily involved in small transaction activity. It also shows that they increase their order sizes substantially in announcement periods relative to nonannouncement periods, presumably as an endogenous response to earnings news. In the immediate earnings announcement period, transaction size-based inferences about directional trading are quite misleading -- producing spurious “small trader” effects and, more surprisingly, erroneous inferences about “large trader” activity.
Author: Gang Hu
Publisher:
ISBN:
Category :
Languages : en
Pages : 62
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Book Description
We survey the growing academic literature using Abel Noser data, including 55 publications thus far. We analyze publication patterns to explore how the availability of a specialized microstructure dataset propagates across different areas within finance and into other disciplines such as accounting. Of note, we identify corporate finance and accounting as the most under-researched areas that offer promising opportunities for future academic research using the data. To provide guidance for researchers interested in using Abel Noser data, we analyze institutional trading using transaction-level data spanning more than 12 years and covering 233 million transactions with $37 trillion traded. We provide background information on the origin and history of the data, offer suggestions for cleaning and using the data, and discuss (dis)advantages of Abel Noser compared to other data sources for institutional trading. We also document two simple facts: 1) institutional trade sizes decline dramatically over time, rendering trade size-based inferences of institutional trades problematic; 2) we estimate that Abel Noser data cover 12% of CRSP volume over our sample period and 15% for 1999-2005, significantly higher than the estimate in Puckett and Yan (2011) for 1999-2005: 8%, a widely quoted number in the literature. This background should prove useful for researchers seeking to address a number of as yet unexplored issues, especially in corporate finance and accounting research.
Author: Neil Bhattacharya
Publisher:
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Languages : en
Pages :
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Book Description
Prior research suggests that the earnings expectations of a segment of the market can be described by the seasonal random-walk model. Prior research also provides evidence that less wealthy and less informed investors tend to make smaller trades (small traders) than wealthier and better informed investors (large traders).I hypothesize that it is the earnings expectations of small traders that are associated with predictions from the seasonal random-walk model. By directly analyzing the trading activities of small and large traders, this study provides evidence that is largely consistent with the hypotheses.Specifically, small traders' trading response around earnings announcements is increasing in the magnitude of seasonal random-walk forecast errors even after controlling for absolute analyst forecast errors, contemporaneous price changes, and market-wide trading. Supplementary analysis reveals that this effect is largely confined to firms with relatively impoverished information environments (i.e., smaller firms and firms with little to moderate analyst following).
Author: Priyantha Mudalige
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
This study investigates individual and institutional trading activities in competing firms to infer informed trading. We find evidence for individual and institutional informed trading in competing firms around earnings announcements. The evidence is stronger prior to announcements than after announcements. Magnitude of institutional (individual) net order flow coefficient decreases (increases) with lag length, suggesting that institutional trading captures information faster than individual trading. Individual net order flow transmit information cross-stock when competitor is a small firm while institutional net order flow conveys information cross-stock irrespective of firm size. Our results will be informative for regulators with regard to insider trading laws and provide insights for market participants on the impact of individual and institutional trading on cross-stock price discovery process.
Author: David Aronson
Publisher: John Wiley & Sons
ISBN: 1118160584
Category : Business & Economics
Languages : en
Pages : 572
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Book Description
Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.
Author:
Publisher:
ISBN:
Category : Coal trade
Languages : en
Pages : 982
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Book Description
Vol. 115 includes Diamond jubilee issue, 1867-1927.
Author: Joel Hasbrouck
Publisher: Oxford University Press
ISBN: 0198041306
Category : Business & Economics
Languages : en
Pages : 209
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Book Description
The interactions that occur in securities markets are among the fastest, most information intensive, and most highly strategic of all economic phenomena. This book is about the institutions that have evolved to handle our trading needs, the economic forces that guide our strategies, and statistical methods of using and interpreting the vast amount of information that these markets produce. The book includes numerous exercises.
Author: Heather Elise Tookes
Publisher:
ISBN:
Category :
Languages : en
Pages : 592
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Book Description
Author: Larry Harris
Publisher: OUP USA
ISBN: 9780195144703
Category : Business & Economics
Languages : en
Pages : 664
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Book Description
Focusing on market microstructure, Harris (chief economist, U.S. Securities and Exchange Commission) introduces the practices and regulations governing stock trading markets. Writing to be understandable to the lay reader, he examines the structure of trading, puts forward an economic theory of trading, discusses speculative trading strategies, explores liquidity and volatility, and considers the evaluation of trader performance. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).
Author: United States. Congress. House. Committee on Commerce. Subcommittee on Finance and Hazardous Materials
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 64
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Book Description
