We examine the contemporaneous correlation as well as the lead-lag relation between trading volume and return volatility in all stocks comprising the Dow Jones Industrial Average (DJIA). We use 5-minute intraday data and measure return volatility by the EGARCH method. Contrary to the mixture of distribution hypothesis, the vast majority of the DJIA stock shows no contemporaneous correlation between volume and volatility. However, we find evidence of significant lead-lag relations between the two variables in a large number of the DJIA stocks in accordance with the sequential information arrival hypothesis
This paper examines the empirical relationship (contemporaneous and causal) between volume and retur...
The main objective of this study is twofold. First, we investigate the relationship between volume a...
This study examines the causal relationship between stock returns and trading volume and the level o...
In this paper we study the dynamic relationship between trading volume, volatility, and stock return...
This paper presents the results of a study of the effect of daily trading volume on the persistence ...
The present paper is an Endeavour to test whether there is a relationship between trading volume and...
This paper investigates the empirical relationship between intraday volatility and trading volume. O...
This paper investigates the empirical relationship between intraday volatility and trading volume. O...
This paper reexamines the dynamic relation between intraday trading volume and return volatility of ...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
This paper empirically examines the relationship between stock return volatility, trading volume and...
We find that trading volume not only contributes positively to the contemporaneous volatility, as in...
This paper investigates the relationship between stock market trading volume and the autocorrelation...
International audienceThis paper investigates the relations between market turnover, stock returns a...
In this paper, the vector autoregressive model is fitted to find out the causal relationship among r...
This paper examines the empirical relationship (contemporaneous and causal) between volume and retur...
The main objective of this study is twofold. First, we investigate the relationship between volume a...
This study examines the causal relationship between stock returns and trading volume and the level o...
In this paper we study the dynamic relationship between trading volume, volatility, and stock return...
This paper presents the results of a study of the effect of daily trading volume on the persistence ...
The present paper is an Endeavour to test whether there is a relationship between trading volume and...
This paper investigates the empirical relationship between intraday volatility and trading volume. O...
This paper investigates the empirical relationship between intraday volatility and trading volume. O...
This paper reexamines the dynamic relation between intraday trading volume and return volatility of ...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
This paper empirically examines the relationship between stock return volatility, trading volume and...
We find that trading volume not only contributes positively to the contemporaneous volatility, as in...
This paper investigates the relationship between stock market trading volume and the autocorrelation...
International audienceThis paper investigates the relations between market turnover, stock returns a...
In this paper, the vector autoregressive model is fitted to find out the causal relationship among r...
This paper examines the empirical relationship (contemporaneous and causal) between volume and retur...
The main objective of this study is twofold. First, we investigate the relationship between volume a...
This study examines the causal relationship between stock returns and trading volume and the level o...