In this study, we observed asymmetric information flow between the stock market index and their component stocks using a transfer entropy measure. We found that the amount of information flow from an index to a stock is larger than from a stock to an index. This finding indicates that the market index is a major driving force in determining individual stocks. Interestingly, this asymmetry occurred in the same direction in every market studied from mature to emerging markets. However, the strength of the asymmetry was higher in mature markets than in emerging markets
conference for helpful comments. David Faulkner’s detailed revision of this paper greatly improves i...
By introducing net entropy into a stock network, this paper focuses on investigating the impact of n...
Uncovering dynamic information flow between stock market indices has been the topic of several studi...
We investigate the strength and the direction of information transfer in the U.S. stock market betwe...
Using transfer entropy, we observed the strength and direction of information flow between stock ind...
We quantify the strength and the directionality of information transfer between the Ghana stock mark...
In terms of transfer entropy, we investigated the strength and the direction of information transfer...
In financial markets, transparency of financial information is one of the most effective variables o...
Abstract In this paper, we examine the relation among different information asymmetry measures in Ta...
This study first examines the determinants of information asymmetry by considering both the firm-spe...
We investigate the strength and direction of information flow between exchange rates and stock price...
Following the recently introduced concept of transfer entropy, we attempt to measure the information...
This study investigates the effect of stock liquidity and stock liquidity risk on information asymme...
In financial markets, transparency of financial information is one of the most effective variables o...
In this paper, we quantify the statistical coherence between financial time series by means of the R...
conference for helpful comments. David Faulkner’s detailed revision of this paper greatly improves i...
By introducing net entropy into a stock network, this paper focuses on investigating the impact of n...
Uncovering dynamic information flow between stock market indices has been the topic of several studi...
We investigate the strength and the direction of information transfer in the U.S. stock market betwe...
Using transfer entropy, we observed the strength and direction of information flow between stock ind...
We quantify the strength and the directionality of information transfer between the Ghana stock mark...
In terms of transfer entropy, we investigated the strength and the direction of information transfer...
In financial markets, transparency of financial information is one of the most effective variables o...
Abstract In this paper, we examine the relation among different information asymmetry measures in Ta...
This study first examines the determinants of information asymmetry by considering both the firm-spe...
We investigate the strength and direction of information flow between exchange rates and stock price...
Following the recently introduced concept of transfer entropy, we attempt to measure the information...
This study investigates the effect of stock liquidity and stock liquidity risk on information asymme...
In financial markets, transparency of financial information is one of the most effective variables o...
In this paper, we quantify the statistical coherence between financial time series by means of the R...
conference for helpful comments. David Faulkner’s detailed revision of this paper greatly improves i...
By introducing net entropy into a stock network, this paper focuses on investigating the impact of n...
Uncovering dynamic information flow between stock market indices has been the topic of several studi...