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The Behavior of Stock Prices Around Institutional Trades

Louis K.C. Chan, +1 more
- 01 Sep 1995 - 
- Vol. 50, Iss: 4, pp 1147-1174
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TLDR
In this paper, the authors analyzed the price impact and execution cost of 37 large investment management firms from July 1986 to December 1988 and found that market impact and trading cost are related to firm capitalization, relative package size, and the identity of the management firm behind the trade.
Abstract
All trades executed by 37 large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence ("package") of trades that we interpret as an order. We find that market impact and trading cost are related to firm capitalization, relative package size, and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact. FINANCIAL ECONOMISTS HAVE LONG studied the equity trading process and its impact on stock prices. Much prior empirical research isolates individual trades and analyzes the behavior of the stock price around each trade. See, for example, Kraus and Stoll (1972a), Holthausen, Leftwich, and Mayers (1987, 1990), Keim and Madhavan (1991), Petersen and Umlauf (1991), Hausman, Lo, and MacKinlay (1992) and Chan and Lakonishok (1993). Evaluating the behavior of stock prices around trades provides a means of discriminating among various hypotheses as to the elasticity of the demand for stocks; yields an estimate of the cost of executing trades and a measure of the liquidity of a market; and permits tests of different models of the determination of quotes and transaction prices. For many institutional investors, however, even a moderately-sized position in a stock may represent a large fraction of the stock's trading volume. Accordingly, an investment manager's order is often broken up into several trades. It is often misleading, therefore, to consider an individual trade as the basic unit of analysis in the study of trading activity and its effects on prices. This paper uses the record of trades executed by 37 large investment manage

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Commonality in Liquidity

TL;DR: In this article, a wider-angle lens exposes an imposing image of commonality in market microstructure, showing that quoted spreads, quoted depth, and effective spreads co-move with market and industry-wide liquidity.
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A theory of power-law distributions in financial market fluctuations

TL;DR: This model is based on the hypothesis that large movements in stock market activity arise from the trades of large participants, and explains certain striking empirical regularities that describe the relationship between large fluctuations in prices, trading volume and the number of trades.
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Optimal execution of portfolio transactions

TL;DR: In this paper, the authors consider the execution of portfolio transactions with the aim of minimizing a combination of volatility risk and transaction costs arising from permanent and temporary market impact, and they explicitly construct the efficient frontier in the space of time-dependent liquidation strategies, which have minimum expected cost for a given level of uncertainty.
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Commonality in liquidity

TL;DR: In this paper, a wider-angle lens exposes an imposing image of commonality, showing that quoted spreads, quoted depth, andective spreads co-move with market and industry-wide liquidity.
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Optimal control of execution costs

TL;DR: In this article, the authors derive dynamic optimal trading strategies that minimize the expected cost of trading a large block of equity over a fixed time horizon, given a fixed block of shares to be executed within a fixed finite number of periods.
References
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Journal ArticleDOI

Continuous Auctions and Insider Trading

Albert S. Kyle
- 01 Nov 1985 - 
Journal ArticleDOI

Efficient Capital Markets: II

Eugene F. Fama
- 01 Dec 1991 - 
TL;DR: A review of the market efficiency literature can be found in this article, where the authors discuss the work that they find most interesting, and offer their views on what we have learned from the research on market efficiency.
Journal ArticleDOI

Inferring Trade Direction from Intraday Data

TL;DR: In this paper, the authors evaluate alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data and identify two serious potential problems with this method, namely, that quotes are often recorded ahead of the trade that triggered them and that trades inside the spread are not readily classifiable.
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Herd Behavior and Investment

TL;DR: In this paper, the authors examine some of the forces that can lead to herd behavior in investment and discuss applications of the model to corporate investment, the stock market, and decision making within firms.
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Price, trade size, and information in securities markets*

TL;DR: In this paper, the effect of trade size on security prices was investigated and it was shown that informed traders tend to trade larger amounts at any given price, and market makers' pricing strategies must also depend on trade size.
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