This paper takes a new look at the relation between volume and realized volatility. In contrast to prior studies, we decompose realized volatility into two major components: a continuously varying component and a discontinuous jump component. Our results confirm that the number of trades is the dominant factor shaping the volume-volatility relation, whatever the volatility component considered. However, we also show that the nature of volatility bears on the volume-volatility relation. Trade variables are positively related to the continuous component only. The well-documented positive volume-volatility relation does not hold for jumps
We use heterogeneous autoregressive (HAR) model with high-frequency da-ta of Hu-Shen 300 index to in...
The article undertakes a nonparametric analysis of the high-frequency movements in stock market vola...
It is widely believed that fluctuations in transaction volume, as reflected in the number of transac...
This paper takes a new look at the relation between volume and realized volatility. In contrast to p...
This paper takes a new look at the relation between volume and realized volatility. In contrast to p...
We find that trading volume not only contributes positively to the contemporaneous volatility, as in...
International audienceThe goal of this paper is to shed light on the relationship between volume and...
CNRS 4, FNEGE 3, HCERES B, ABS 3International audienceThis paper investigates the relationship betwe...
Understanding, quantifying and predicting market fluctuation has become increasingly important in re...
We investigate the relation between volatility and volume in 22 developed markets and 27 emerging ma...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
This paper examines the roles of the number of trades, size of trades, and order imbalance (buyer- v...
This paper investigates the relationship between trading volume and price volatility in the crude oi...
In this paper, we examine the trading activity and return volatility pattern before and after splits...
We use heterogeneous autoregressive (HAR) model with high-frequency da-ta of Hu-Shen 300 index to in...
The article undertakes a nonparametric analysis of the high-frequency movements in stock market vola...
It is widely believed that fluctuations in transaction volume, as reflected in the number of transac...
This paper takes a new look at the relation between volume and realized volatility. In contrast to p...
This paper takes a new look at the relation between volume and realized volatility. In contrast to p...
We find that trading volume not only contributes positively to the contemporaneous volatility, as in...
International audienceThe goal of this paper is to shed light on the relationship between volume and...
CNRS 4, FNEGE 3, HCERES B, ABS 3International audienceThis paper investigates the relationship betwe...
Understanding, quantifying and predicting market fluctuation has become increasingly important in re...
We investigate the relation between volatility and volume in 22 developed markets and 27 emerging ma...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
Assuming that the variance of daily price changes and trading volume are both driven by the same lat...
This paper examines the roles of the number of trades, size of trades, and order imbalance (buyer- v...
This paper investigates the relationship between trading volume and price volatility in the crude oi...
In this paper, we examine the trading activity and return volatility pattern before and after splits...
We use heterogeneous autoregressive (HAR) model with high-frequency da-ta of Hu-Shen 300 index to in...
The article undertakes a nonparametric analysis of the high-frequency movements in stock market vola...
It is widely believed that fluctuations in transaction volume, as reflected in the number of transac...