Download or read book The Dynamic Relation between Stock Returns Trading Volume and Volatility written by Gong-meng Chen and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine the dynamic relation between returns, volume, and volatility of stock indexes. The data come from nine national markets and cover the period from 1973 to 2000. The results show a positive correlation between trading volume and the absolute value of the stock price change. Granger causality tests demonstrate that for some countries, returns cause volume and volume causes returns. Our results indicate that trading volume contributes some information to the returns process. The results also show persistence in volatility even after we incorporate contemporaneous and lagged volume effects. The results are robust across the nine national markets.
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.
Download or read book The Empirical Relationship between Stock Returns Return Volatility and Trading Volume in the Brazilian Stock Market written by Otavio Ribeiro de Medeiros and published by . This book was released on 2006 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate the empirical relationship between stock returns, return volatility and trading volume using data from the Brazilian stock market (Bovespa). Our sample contains stock return and trading volume data from a theoretical portfolio including stocks participating in the Bovespa Index (Ibovespa) extending from 01/03/2000 through 12/29/2005. The empirical methods used include cross-correlation analysis, unit-root tests, bivariate simultaneous equations regression analysis, GARCH modeling, VAR modeling, and Granger causality tests. We find support for a contemporaneous as well as dynamic relationship between stock returns and trading volume, implying that forecasts of one of these variables can be only slightly improved by knowledge of the other. On the other hand, our results indicate that there is a contemporaneous and dynamic relationship between return volatility and trading volume. Additionally, by applying Granger's test for causality, we find that return volatility contains information about upcoming trading volume and vice versa.
Download or read book Testing the Impact of Trading Volume on Market Return and Volatility written by Cristiana Tudor and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: This paper examines both the return-volume and volatility-volume movements on Bucharest Stock Exchange, in order to evaluate the impact of changes in stock market liquidity on stock returns and on volatility of returns. We employ linear Granger-causality tests to investigate the dynamic relation between trading volume, stock returns and returns volatility on the Romanian stock market, using daily logarithmic returns for the composite index BET-C, as a proxy for the market, and daily logarithmic change in trading volume during the period January 2004-July 2008. As a proxy for return volatility we employ absolute values of daily deviation of return from its mean value during the considered time period. We can report unidirectional linear causality from returns to volume and also from volume to volatility.
Download or read book Dynamic Relationship Between Stock Return Trading Volume and Volatility in the Stock Exchange of Thailand written by Komain Jiranyakul and published by . This book was released on 2016 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using daily data from 2004 to 2015, this paper attempts to examine the relationship between return, volume and volatility in the Thai stock market. The main findings are that trading volume plays a dominant role in the dynamic relationships. Specifically, trading volume causes both return and return volatility when the US subprime crisis is taken into account. The results may give understanding on how investors make their trading decisions that can affect portfolio adjustment.
Download or read book Stock Market Dynamics written by Robert Maria Margaretha Jozef Bauer and published by . This book was released on 1997 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
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:
Download or read book Disagreement Habit and the Dynamic Relation Between Volume and Prices written by Costas Xiouros and published by . This book was released on 2016 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic asset pricing models typically do not generate trading volume whereas empirically trading volume is strongly related to asset prices; volume is usually high when returns are high and during periods of high return volatility. Stock prices on the other hand are known to be quite volatile and require a high equity premium while the risk-free rate of return is low and quite stable. We attempt to reconcile all these price and volume characteristics in a new model of disagreement where agents have external habit formation preferences that generate time-variation in risk-aversion. The model is flexible enough to be able to generate in a number of ways the dynamic relation between prices and volume whereas it also provides a configuration by which prices are also fitted well. The paper additionally shows that the information structure and the asset structure have important implications for the correlation between stock returns and volume.
Download or read book Dynamic Volume Volatility Relation written by Hanfeng Wang and published by . This book was released on 2005 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: We find that trading volume not only contributes positively to the contemporaneous volatility, as indicated in previous literature, but also contributes negatively to the subsequent volatility. And this pattern between trading volume and volatility is consistently held among individual stocks, volume-based portfolios, size-based portfolios, and market index, and among daily data and weekly data. These empirical findings tend to support that the Information-Driven-Trade (IDT) hypothesis is more pervasive and powerful in explaining trading activities in the stock market than the Liquidity-Driven-Trade (LDT) hypothesis. Our additional tests obtain three interesting findings, 1) liquidity and the degree of information asymmetry influence the relation between volume and subsequent volatility, 2) the effect of volume on subsequent volatility and volume size have a non-linear relationship, which is consistent with Barclay and Warner (1993, JFE)'s finding, 3) the effect of volume on subsequent volatility is asymmetry when the stock price moves up and when the stock price moves down, and we attribute this asymmetry to the short-selling constraints.
Download or read book A Dynamic Structural Model for Stock Return Volatility and Trading Volume written by William A. Brock and published by . This book was released on 1995 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper seeks to develop a structural model that lets data on asset returns and trading volume speak to whether volatility autocorrelation comes from the fundamental that the trading process is pricing or, is caused by the trading process itself. Returns and volume data argue, in the context of our model, that persistent volatility is caused by traders experimenting with different beliefs based upon past profit experience and their estimates of future profit experience. A major theme of our paper is to introduce adaptive agents in the spirit of Sargent (1993) but have them adapt their strategies on a time scale that is slower than the time scale on which the trading process takes place. This will lead to positive autocorrelation in volatility and volume on the time scale of the trading process which generates returns and volume data. Positive autocorrelation of volatility and volume is caused by persistence of strategy patterns that are associated with high volatility and high volume. Thee following features seen in the data: (i) The autocorrelation function of a measure of volatility such as squared returns or absolute value of returns is positive with a slowly decaying tail. (ii) The autocorrelation function of a measure of trading activity such as volume or turnover is positive with a slowly decaying tail. (iii) The cross correlation function of a measure of volatility such as squared returns is about zero for squared returns with past and future volumes and is positive for squared returns with current volumes. (iv) Abrupt changes in prices and returns occur which are hard to attach to 'news.' The last feature is obtained by a version of the model where the Law of Large Numbers fails in the large economy limit
Download or read book The Causal and Dynamic Relationship Between Stock Returns and Trading Volume written by and published by . This book was released on 2006 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Empirical Analysis on the Dynamic Relationship Between FII Trading Volume Nifty Returns written by Dr.Lakshmi P. and published by . This book was released on 2013 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper empirically examines the relationship between trading volume of FII flows and volatility of stock returns. The contemporaneous correlation and asymmetry between NIFTY returns and FII trading volume is studied through OLS. There is evidence for positive contemporaneous correlation between returns and volume. The relationship between conditional volatility and volume is investigated through GARCH model by introducing volume as an explanatory variable in the GARCH equation. The results indicate that GARCH effect is reduced only to a negligible level by the inclusion of trading volume of FIIs as an explanatory variable. This implies that FIIs influence towards persistence of volatility is very low and there may be other factors responsible for the same.
Download or read book A Dynamic Structural Model for Stock Return Volatility and Trading Volume written by William A. Brock and published by . This book was released on 2010 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper seeks to develop a structural model that lets data on asset returns and trading volume speak to whether volatility autocorrelation comes from the fundamental that the trading process is pricing or, is caused by the trading process itself. Returns and volume data argue, in the context of our model, that persistent volatility is caused by traders experimenting with different beliefs based upon past profit experience and their estimates of future profit experience. A major theme of our paper is to introduce adaptive agents in the spirit of Sargent (1993) but have them adapt their strategies on a time scale that is slower than the time scale on which the trading process takes place. This will lead to positive autocorrelation in volatility and volume on the time scale of the trading process which generates returns and volume data. Positive autocorrelation of volatility and volume is caused by persistence of strategy patterns that are associated with high volatility and high volume. Thee following features seen in the data: (i) The autocorrelation function of a measure of volatility such as squared returns or absolute value of returns is positive with a slowly decaying tail. (ii) The autocorrelation function of a measure of trading activity such as volume or turnover is positive with a slowly decaying tail. (iii) The cross correlation function of a measure of volatility such as squared returns is about zero for squared returns with past and future volumes and is positive for squared returns with current volumes. (iv) Abrupt changes in prices and returns occur which are hard to attach to 'news.' The last feature is obtained by a version of the model where the Law of Large Numbers fails in the large economy limit.
Download or read book Dynamics of Trading Volume and Stock Returns written by Manik Lakhani and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This project intends to study the relationship between stock returns and their trading volume and to test the causality effects. It focuses on the 50 stocks of CNX Nifty which is a value-weighted stock index of National Stock Exchange of India. Three proxies of trading volume namely, numbers of transactions, total traded quantity (volume) and total Rupee value of the traded quantity (turnover) have been taken and the asymmetry in the relationship of returns and volume is tested through regression. The study also tries to find the best proxy for volume through granger causality. The results indicate that there is asymmetry in the relation between returns and volume and the best proxy of the volume is the turnover or the value of shares traded.
Download or read book The Empirical Relationship Between Trading Volume Returns and Volatility written by Timothy J. Brailsford and published by . This book was released on 1994 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Price Volume Relations of DAX Companies written by Henryk Gurgul and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study provides empirical evidence of the joint dynamics between stock returns and trading volume using stock data of DAX companies. Contemporaneous as well as dynamic interactions are investigated for a period from January 1994 to December 2005 on a daily basis. Our results suggest that there is almost no relationship between stock return levels and trading volume in either direction. We find that trading volume is contemporaneously positively related to return volatility. In addition, we establish that lagged return volatility induces trading volume movements.Finally, we examine dependencies in the tails and find no significant support for the hypothesis of the independence of the maximal values of absolute returns and trading volume.
