الگوی تصمیم گیری مدیریت نمونه کارها روزانه: مطالعه موردی روزانه الگوهای بازگشت امنیت
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|21548||2000||6 صفحه PDF||سفارش دهید|
نسخه انگلیسی مقاله همین الان قابل دانلود است.
هزینه ترجمه مقاله بر اساس تعداد کلمات مقاله انگلیسی محاسبه می شود.
این مقاله تقریباً شامل 4064 کلمه می باشد.
هزینه ترجمه مقاله توسط مترجمان با تجربه، طبق جدول زیر محاسبه می شود:
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Business Research, Volume 50, Issue 3, December 2000, Pages 321–326
This article examines causes of observed stock trading patterns that show high hourly returns and trading volume during early and late trading hours. Using time-stamped data from an institutional investor, we document high levels of portfolio managers' early-morning and late-afternoon decisions to trade that can result in the volume pattern and relatively higher proportions of buy decisions that could contribute to the return pattern. Investors who trade stocks are competing with professional traders and institutional investment managers, and to be competitive, investors must be aware of the influences that other traders have on market returns. Researchers have identified a number of regularities in common stock returns, and this article addresses the well-documented pattern of stock returns during the average trading day that shows a repeated occurrence of higher-than-expected returns at the open and close of the market and lower returns during the middle of the day. The hypotheses of the article is that the timing of institutional investors' decisions stimulates this pattern because managers tend to make the majority of their transaction decisions toward the end of the day. These late-day decisions affect end-of-day market returns and volume, and the beginning-of-day returns and volume are high because of the accumulation of orders from managers' decisions made after the market close the previous day plus decisions made before the opening of trading each day.
The literature refers to the observed return regularity as the “U-shaped pattern of intraday returns.” It has been identified in a number of studies including work by Harris 1986 and Harris 1989, Jain and Joh (1988), Wood, McInish, and Ord (1985), McInish and Wood (1990), and Smirlock and Starks (1986). A similar pattern (high early and late in the day, low during the middle hours) applies to trading volume (see, for example, Foster and Viswanathan 1989, Jain and Joh 1988 and McInish and Wood 1991; and Wood et al., 1985), return variance (see, for example, Admati and Pfleiderer 1989a and Lockwood and Linn 1990; and Wei, 1992), and bid-ask spreads (see, for example, Brock and Kleidon 1992 and McInish, and Wood 1992; and Stoll and Whaley, 1990). The values for these variables during market opening and closing times are distinctly larger than the midday values. Some of the attempts to explain these non-stationarities have relied on market microstructure models that allow patterns to develop based solely on the internal structure and operation of the market and in the absence of any external influences. Admati and Pfleiderer (1989b) develop an information-based model to explain trade clustering that can occur at any time during the trading day, and they discuss the role of the open and the close as special clustering points. They contend that market makers have adverse selection problems with informed traders that they attempt to alleviate through their interaction with nondiscretionary liquidity traders, discretionary liquidity traders, and informed traders, so they offer inducements for liquidity traders to transact at certain times during the day. Brock and Kleidon (1992) maintain that market evidence is at odds with the Admati and Pfleiderer (1989b) information-based model. The Admati-Pfleiderer model partially relies on lower transaction costs to explain higher volume and returns at the opening and close of the day. However, Brock and Kleidon (1992), extending the inventory-based model of Garman (1976), show that spreads (transactions costs) should be higher at the open and the close. They present evidence of observed transaction costs as measured by the bid-ask spread often being higher at these times. In addition to explanations based on market microstructure, the U-shaped trading pattern may be attributable to variables that are exogenous to the market structure as noted in Brock and Kleidon (1992). Primary exogenous considerations are variations in supply and demand from investors and the discontinuous nature of market trading. For example, Brock and Kleidon argue that much of the trading at the open and close is due to the fact that investors cannot trade as easily when major markets are closed. The incentive to transact at the opening and close may be related to the desire of portfolio managers to bring their portfolios to a particular target risk, a factor that is unrelated to the market microstructure. Another exogenous factor could be that market activity is responding to the release of information. Berry and Howe (1994) find distinct intraday patterns in the release of public information but conclude that they are only moderately related to trading volume and not significantly related to price variability. Other exogenous considerations relate to covering short positions overnight (see Miller, 1989) and the desire of portfolio managers of index funds to trade at the end of the day to reduce tracking errors. Mutual fund managers, judged by net asset value at the end of the day, also have some incentive to correlate their trading patterns with their benchmarks. Furthermore, brokers are often given orders which must be filled by the end of the day or canceled. Whether the causes of intraday return patterns lie with external or internal (market microstructure) considerations, the fact remains that a predictive pattern is in place that challenges market efficiency, although it is doubtful that a trading strategy could exploit the patterns to the extent of producing superior after transactions-costs returns. Studies of the return phenomenon have typically dealt with transactions data from major exchanges such as the New York Stock Exchange, the American Stock Exchange, and the Toronto Stock Exchange. Since the data represent realized transactions, the observed U-shaped pattern of returns and volume includes both the external influence of investors and portfolio managers who order the execution of trades for portfolio rebalancing reasons and the internal influence of market makers and traders who attempt to minimize transaction costs and make trading profits. A shortcoming of the use of aggregated market transactions data is that the external influence from portfolio managers cannot be measured separately from the effects of traders and market makers. Gerety and Mulherin (1992) attribute the U-shaped pattern in trading volume to short-term investors. These short-term investors, such as market makers and day traders, have relatively little ability to bear risk overnight and desire to exchange their positions with investors having a greater ability to bear risk overnight. Gerety and Mulherin (1992) reason that if investors are transferring risk of holding positions while the market is closed, then end-of-day volume should be directly related to overnight return variance. Using closing and opening-hour trading volume on the NYSE from 1933 to 1988, they find evidence to support their position and conclude that short-term traders are the cause of the U-shaped pattern in volume. Gerety and Mulherin (1992) mention anecdotal discussion that attributes the U-shaped pattern to institutional investors. However, they observe a downward trend in last-hour volume over the last several decades and a concurrent increase in block trading (to represent institutional trades) and suggest that institutional traders do not cause the U-shaped pattern. However, the simple observation of a negative correlation between these two variables is not proof of a causal relationship. It is quite possible that both institutional investors and short-term traders are parties to the causes of the U-shaped pattern, especially if institutional investors represent the other side of the trades with short-term traders. It is our hypothesis in this article that a major part of the demand for opening and closing trades originates with institutional and other long-term investors, and short-term traders are willing to fill that demand. While these previous studies have proposed and examined various causes of intraday trading patterns, none has been able to explain more than a small portion of the pattern. It is the intent of this article to further contribute to the evidence in this area by using a case study to illustrate the importance of the timing of transaction decisions by institutional portfolio managers and other long-term investors. These decisions quickly become orders that impact the market and contribute to the formation of the daily U-shaped patterns observed in this article. As these intraday decisions are transmitted to security traders, they are translated into intraday volume, variance, and price patterns. Transactions data typically used in market studies identifies only the time of the transaction, not the time of the decision to transact. To overcome this problem, our sample tracks the times at which portfolio managers made their decisions. Conversations with the portfolio managers led to the conclusion that the portfolio managers were, for the most part, indifferent to the problems and issues related to the traders (endogenous factors). Their concerns were related to rebalancing their portfolios. The extent to which they weight their actions toward buying activities at market opening and market closing times in the absence of concerns about execution costs would tend to indicate the importance of the exogenous supply-demand variable in the pattern of intraday returns. Any clustering of either buying or selling decisions at market open and close would affect volume at those times.
نتیجه گیری انگلیسی
This article investigates institutional investor buy and sell decisions as a cause of the intraday patterns of common stock returns and trading volume. A sample containing buy and sell decisions of an institutional investor and the time at which they were made shows that buy decisions tend to be concentrated during the market opening and closing hours, the same time when stocks tend to show higher-than-average returns. There was a statistically significant relationship between the relative number of buy decisions and the intraday DJIA returns. In addition, the volume of portfolio manager decisions (buy and sell) tends to be concentrated during the opening and closing hours, coinciding with results from prior studies that report a higher volume of transactions during opening and closing hours. These results are consistent with the notion that the actions of portfolio managers contribute to the intraday pattern of volume. Although the behavior of other institutional investors may not follow the same patterns as the institution (NationsBank) in this case study, it is reasonable that the association between timing of buy and sell decisions of our institution and market returns and trading volume is more than coincidence. Portfolio managers probably follow a systematic pattern in the tendency of their transaction decisions, particularly their buy decisions, during the time before the market opens, the opening period, the closing period, and the time after the market closes. While Gerety and Mulherin (1992) mention that institutional investors could influence daily trading patterns, they attribute end-of-day volume to short-term traders. Our evidence in this article shows that institutional investors provide formidable demand at the end of the day. While short-term traders may be on the other sides of those transactions, it is clear that the fundamental demand arises from the institutional investors. This supports the contention of Brock and Kleidon (1992) that forces exogenous to market microstructure provide demand or supply imbalances that could lead to observed daily trading patterns.