This paper develops and tests a partially-revealing rational expectations theory of the joint behavior of price variability and trading volume in the stock market. The model is able to explain many of the previously documented empirical observations. The key elements in the model are (i) the presence of liquidity (noise) trading, (ii) a random information arrival process, and (iii) investor revaluations that have a component of concordance and a component of discordance among investors. Prices reflect the concordance and volume of trade the discordance among investors. Both prices and volume are affected by noise trading. This gives rise to testable implications for the univariate and bivariate time-series behavior of price variability 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...
In this thesis I develop two theoretical models to analyze how investors can infer private informati...
This thesis addresses the relation between trading volume and various information variables. The fir...
This paper reviews previous contributions to trading volume theory and investigates the statistical ...
This study develops and tests the hypothesis that stock prices and trading volume are influenced by ...
This paper intends to study the intermediate-term momentum and long-term reversal of stock prices by...
We examine the dynamic relation between return and volume of individual stocks. Using a simple model...
This paper concerns the relationship between the variability of the daily price change and the daily...
This dissertation investigates the idea that trading activity contains information regarding the evo...
The relative importance of trading volume is not extensively analyzed. Trading volume retains the in...
This paper develops a model of speculative trading in a large economy with a continuum of investors....
In this paper we study the dynamic relationship between trading volume, volatility, and stock return...
The main objective of this study is twofold. First, we investigate the relationship between volume a...
This paper investigates whether the empirical linkages between stock returns and trading volume diff...
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...
In this thesis I develop two theoretical models to analyze how investors can infer private informati...
This thesis addresses the relation between trading volume and various information variables. The fir...
This paper reviews previous contributions to trading volume theory and investigates the statistical ...
This study develops and tests the hypothesis that stock prices and trading volume are influenced by ...
This paper intends to study the intermediate-term momentum and long-term reversal of stock prices by...
We examine the dynamic relation between return and volume of individual stocks. Using a simple model...
This paper concerns the relationship between the variability of the daily price change and the daily...
This dissertation investigates the idea that trading activity contains information regarding the evo...
The relative importance of trading volume is not extensively analyzed. Trading volume retains the in...
This paper develops a model of speculative trading in a large economy with a continuum of investors....
In this paper we study the dynamic relationship between trading volume, volatility, and stock return...
The main objective of this study is twofold. First, we investigate the relationship between volume a...
This paper investigates whether the empirical linkages between stock returns and trading volume diff...
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...
In this thesis I develop two theoretical models to analyze how investors can infer private informati...