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Author: Vicentiu Covrig Publisher: ISBN: Category : Languages : en Pages : 31
Book Description
This study investigates whether the widely documented daily correlated trading volume of stocks is driven by individual investor trading, institutional trading, or both. We find that at least 95 percent of NYSE and AMEX stocks exhibit statistically significant, positive serial correlation. Volume autocorrelation decreases with the level of institutional ownership of a stock. We also show that the rate of arrivals of new information to the market contributes to the clustering of the trades. When there is high information flow to the market, institutional trading generates a more pronounces effect on volume autocorrelation than individual investor trading. Our results are broadly consistent with the predictions of trading volume patterns suggested by most theoretical models of stock trading and by empirical research on investor trading.
Author: Vicentiu Covrig Publisher: ISBN: Category : Languages : en Pages : 31
Book Description
This study investigates whether the widely documented daily correlated trading volume of stocks is driven by individual investor trading, institutional trading, or both. We find that at least 95 percent of NYSE and AMEX stocks exhibit statistically significant, positive serial correlation. Volume autocorrelation decreases with the level of institutional ownership of a stock. We also show that the rate of arrivals of new information to the market contributes to the clustering of the trades. When there is high information flow to the market, institutional trading generates a more pronounces effect on volume autocorrelation than individual investor trading. Our results are broadly consistent with the predictions of trading volume patterns suggested by most theoretical models of stock trading and by empirical research on investor trading.
Author: Cristina Del Rio Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
The paper analyses the role of investor type (individual-institutional) in trading volume dynamics in securities traded on the Spanish stock market. The results contrast with the evidence found for the US, by showing no sign that differences in investor type generate significant variation in the dynamic behaviour of trading volume, ordinary autocorrelation, or trading in the event of major market movements. Differences in autocorrelation are found when the level of mutual funds ownership of a stock is included in the analysis. These findings are consistent with the view that it is not only the institutional nature, but also the different investment targets of these agents, that can influence trading volume dynamics.
Author: Tarun Chordia Publisher: ISBN: Category : Languages : en Pages : 32
Book Description
This paper finds that trading volume is a significant determinant of the lead-lag patterns observed in stock returns. Daily and weekly returns on high volume portfolios lead returns on low volume portfolios, controlling for firm size. Nonsynchronous trading or low volume portfolio autocorrelations cannot explain these findings. These patterns arise because returns on low volume portfolios respond more slowly to information in market returns. The speed of adjustment of individual stocks confirms these findings. Overall, the results indicate that differential speed of adjustment to information is a significant source of the cross-autocorrelation patterns in short-horizon stock returns.
Author: Buff Dormeier Publisher: FT Press ISBN: Category : Business enterprises Languages : en Pages : 353
Book Description
Analyzing volume can help you look deep inside trends, identify shifts more rapidly, and earn higher profits with less risk. Now, award-winning stock analyst Buff Pelz Dormeier shows exactly how to make volume analysis work for you. Analyze volume responsiveness, reliability, risk, and returns & mdash;and use your insights to optimize every trade!
Author: Horace Chueh Publisher: ISBN: Category : Languages : en Pages : 25
Book Description
Trading volume conveys critical information on future price changes, which are of interests to all market participants. This paper inspects trading volume with the intraday transaction data of the TAIEX futures trade on the Taiwan Futures Exchange. The results support the theory of Llorente et al. (2002). Trading days associated with a high degree of information asymmetry exhibit more return continuation on high-volume transactions and those associated with a low degree of information asymmetry demonstrate more return reversals on high-volume transactions. Time-varying analyses show that high-volume transaction creates more return continuation around the opening period of a trading day, coupled with a high degree of informed trading.
Author: Robert A. Jarrow Publisher: ISBN: Category : Derivative securities Languages : en Pages : 472
Book Description
Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.
Author: Buff Pelz Dormeier Publisher: Pearson Education India ISBN: 9788131765562 Category : Languages : en Pages : 356
Book Description
Analyzing volume can help you look deep inside trends, identify shifts more rapidly, and earn higher profits with less risk. Now, award-winning stock analyst Buff Pelz Dormeier shows exactly how to make volume analysis work for you. Analyze volume responsiveness, reliability, risk, and returns-and use your insights to optimize every trade!
Author: Guillermo Llorente Publisher: ISBN: Category : Languages : en Pages : 45
Book Description
We examine the dynamic relation between return and volume of individual stocks. Using a simple model in which investors trade to share risk or speculate on private information, we show that returns generated by risk-sharing trades tend to reverse themselves while returns generated by speculative trades tend to continue themselves. We test this theoretical prediction by analyzing the relation between daily volume and first-order return autocorrelation for individual stocks listed on the NYSE and AMEX. We find that the cross-sectional variation in the relation between volume and return autocorrelation is related to the extent of informed trading in a manner consistent with the theoretical prediction.
Author: Vicentiu Covrig
Author: Vicentiu Covrig
Author: Cristina Del Rio
Author: Tarun Chordia
Author: Buff Dormeier
Author: Horace Chueh
Author: Robert A. Jarrow
Author: Buff Pelz Dormeier
Author: Takeshi Yamada
Author: 
Author: Guillermo Llorente