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Trading Volume And Serial Correlation In Stock Returns
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Book Synopsis Trading Volume and Serial Correlation in Stock Returns by : John Y. Campbell
Download or read book Trading Volume and Serial Correlation in Stock Returns written by John Y. Campbell and published by . This book was released on 1992 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the relationship between stock market trading volume and the autocorrelations of daily stock index returns. The paper finds that stock return autocorrelations tend to decline with trading volume. The paper explains this phenomenon using a model in which risk-averse "market makers" accommodate buying or selling pressure from "liquidity" or "non-informational" traders. Changing expected stock returns reward market makers for playing this role. The model implies that a stock price decline on a high-volume day is more likely than a stock price decline on a low-volume day to be associated with an increase in the expected stock return.
Book Synopsis Trading Volume and Serial Correlation in Stock Returns by : John Y. Campbell
Download or read book Trading Volume and Serial Correlation in Stock Returns written by John Y. Campbell and published by . This book was released on 2012 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the relationship between stock market trading volume and the autocorrelations of daily stock index returns. The paper finds that stock return autocorrelations tend to decline with trading volume. The paper explains this phenomenon using a model in which risk-averse quot;market makersquot; accommodate buying or selling pressure from quot;liquidityquot; or quot;non-informationalquot; traders. Changing expected stock returns reward market makers for playing this role. The model implies that a stock price decline on a high-volume day is more likely than a stock price decline on a low-volume day to be associated with an increase in the expected stock return.
Book Synopsis Trading Volume and Serial Correlation in Stock Return by : John Y. Campbell
Download or read book Trading Volume and Serial Correlation in Stock Return written by John Y. Campbell and published by . This book was released on 1992 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Causal Relationship Between Stock Returns and Volume by : Rochelle L. Antoniewicz
Download or read book A Causal Relationship Between Stock Returns and Volume written by Rochelle L. Antoniewicz and published by . This book was released on 1992 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Empirical Analysis of Stock Returns and Volume by : Rochelle L. Antoniewicz
Download or read book An Empirical Analysis of Stock Returns and Volume written by Rochelle L. Antoniewicz and published by . This book was released on 1992 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Stock Market Structure, Volatility, and Volume by : Hans R. Stoll
Download or read book Stock Market Structure, Volatility, and Volume written by Hans R. Stoll and published by . This book was released on 1990 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Volumen and Serial Correlation in Stock Returns by : John Y. Campbell
Download or read book Trading Volumen and Serial Correlation in Stock Returns written by John Y. Campbell and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Volume, Volatility and Return Dynamics by : Leon Zolotoy
Download or read book Trading Volume, Volatility and Return Dynamics written by Leon Zolotoy and published by . This book was released on 2007 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we study the dynamic relationship between trading volume, volatility, and stock returns at the international stock markets. First, we examine the role of volume and volatility in the individual stock market dynamics using a sample of ten major developed stock markets. Next, we extend our analysis to a multiple market framework, based on a large sample of cross-listed firms. Our analysis is based on both semi-nonparametric (Flexible Fourier Form) and parametric techniques. Our major findings are as follows. First, we find no evidence of the trading volume affecting the serial correlation of stock market returns, as predicted by Campbell et.al (1993) and Wang (1994). Second, the stock market volatility has a negative and statistically significant impact on the serial correlation of the stock market returns, consistent with the positive feedback trading model of Sentana and Wadhwani (1992). Third, the lagged trading volume is positively related to the stock market volatility, supporting the information flow theory. Fourth, we find the trading volume to have both an economically and statistically significant impact on the price discovery process and the co-movement between the international stock markets. Overall, these findings suggest the importance of the trading volume as an information variable.
Book Synopsis Trading Volume and Serial Correlation of Returns on the Taiwan Stock Exchange by : Henry Kuanshen Wang
Download or read book Trading Volume and Serial Correlation of Returns on the Taiwan Stock Exchange written by Henry Kuanshen Wang and published by . This book was released on 1992 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Volume and Return Reversals by : Gregory R. Duffee
Download or read book Trading Volume and Return Reversals written by Gregory R. Duffee and published by . This book was released on 1992 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Volume and the Nonlinear Dynamics of Stock Returns by : Chiente Hsu
Download or read book Volume and the Nonlinear Dynamics of Stock Returns written by Chiente Hsu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manuscript is about the joint dynamics of stock returns and trading volume. It grew out of my attempt to construct an intertemporal asset pricing model with rational agents which can. explain the relation between volume, volatility and persistence of stock return documented in empirical literature. Most part of the manuscript is taken from my thesis. I wish to express my deep appreciation to Peter Kugler and Benedikt Poetscher, my advisors of the thesis, for their invaluable guidance and support. I wish to thank Gerhard Orosel and Gerhard Sorger for their encouraging and helpful discussions. Finally, my thanks go to George Tauchen who has been generous in giving me the benefit of his numerical and computational experience, in providing me with programs and in his encouragement. Contents 1 Introduction 1 7 2 Efficient Stock Markets Equilibrium Models of Asset Pricing 8 2. 1 2. 1. 1 The Martigale Model of Stock Prices 8 2. 1. 2 Lucas' Consumption Based Asset Pricing Model 9 2. 2 Econometric Tests of the Efficient Market Hypothesis 13 2. 2. 1 Autocorrelation Based Tests 14 16 2. 2. 2 Volatility Tests Time-Varying Expected Returns 25 2. 2. 3 3 The Informational Role of Volume 29 3. 1 Standard Grossman-Stiglitz Model 31 3. 2 The No-Trad Result of the BEO Model 34 A Model with Nontradable Asset 37 3. 3 4 Volume and Volatility of Stock Returns 43 4. 1 Empirical and Numerical Results 45 4.
Book Synopsis Volume Autocorrelation, Information and Investor Trading by : Vicentiu Covrig
Download or read book Volume Autocorrelation, Information and Investor Trading written by Vicentiu Covrig and published by . This book was released on 2004 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Common Factors in the Serial Correlation of Stock Returns by : Eugene F. Fama
Download or read book Common Factors in the Serial Correlation of Stock Returns written by Eugene F. Fama and published by . This book was released on 1986 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Trading Patterns and Excess Comovement of Stock Returns by : Nathan Sosner
Download or read book Trading Patterns and Excess Comovement of Stock Returns written by Nathan Sosner and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In April 2000, 30 stocks were replaced in the Nikkei 225 Index. The unusually broad index redefinition allowed for a study of the effects of index-linked trading on the excess comovement of stock returns. A large increase occurred in the correlation of trading volume of stocks added to the index with the volume of stocks that remained in the index, and opposite results occurred for the deletions. Daily index return betas of the additions rose by an average of 0.45; index return betas of the deleted stocks fell by an average of 0.63. Theoretical predictions for changes in autocorrelations and cross-serial correlations of returns of index additions and deletions were confirmed. The results are consistent with the idea that trading patterns are associated with short-run excess comovement of stock returns.
Book Synopsis Volume Based Portfolio Strategies by : Alexander Brändle
Download or read book Volume Based Portfolio Strategies written by Alexander Brändle and published by Springer Science & Business Media. This book was released on 2010-06-28 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alexander Brändle investigates the relationship between different measures of trading volume and returns in the Swiss stock market. He discovers that stocks with unusual trading volume in a given month experience systematically higher subsequent returns.
Book Synopsis Noise Trading on the London Stock Exchange by :
Download or read book Noise Trading on the London Stock Exchange written by and published by . This book was released on 1996 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Forecasting Crashes by : Joseph Chen
Download or read book Forecasting Crashes written by Joseph Chen and published by . This book was released on 2000 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper is an investigation into the determinants of asymmetries in stock returns. We develop a series of cross-sectional regression specifications which attempt to forecast skewness in the daily returns of individual stocks. Negative skewness is most pronounced in stocks that have experienced: 1) an increase in trading volume relative to trend over the prior six months; and 2) positive returns over the prior thirty-six months. The first finding is consistent with the model of Hong and Stein (1999), which predicts that negative asymmetries are more likely to occur when there are large differences of opinion among investors. The latter finding fits with a number of theories, most notably Blanchard and Watson's (1982) rendition of stock-price bubbles. Analogous results also obtain when we attempt to forecast the skewness of the aggregate stock market, though our statistical power in this case is limited.
