This paper provides an agent-based artificial financial market to examine the effects of traders ’ overconfidence. Traders ’ overconfidence is presented in the way that they usually underestimate their volatility. We find that overconfidence results in higher volatility, price distortion, and trading volume. The phenomena of fat-tail of return distribution and volatility clustering are more significant when traders are overconfident
Prior experiments revealed that investors’ overconfidence can result in excessive trade and negative...
In this paper, we develop a model in which overconfident market participants and rational speculator...
The existence of overconfident investors in capital markets has been the subject of much researches ...
Agent-based artificial financial markets are bottom-up models of financial markets which explore the...
Theoretical models predict that overconfident investors will trade more than rational investors. We ...
This research comes within the framework of behavioral finance and aims at explain high levels of tr...
We research on how overconfidence affects trading performance in two aspects, whether the degree of ...
This research comes within the framework of behavioral finance and aims at explain high levels of tr...
Individuals and asset managers trade aggressively, resulting in high volume in asset markets, even w...
We investigate the influence of overconfidence and risk aversion on individual financial decision ma...
A central topic in behavioural finance is extensive trading. One of the most common behav- ioural ex...
It has been a challenge for financial economists to explain some stylized factsobserved in securitie...
In this study, we test whether the overconfidence bias explains several stylized market anomalous, i...
In this paper influence of behavioral factors (overconfidence and risk aversion) on financial decisi...
Prior experiments revealed that investors’ overconfidence can result in excessive trade and negative...
In this paper, we develop a model in which overconfident market participants and rational speculator...
The existence of overconfident investors in capital markets has been the subject of much researches ...
Agent-based artificial financial markets are bottom-up models of financial markets which explore the...
Theoretical models predict that overconfident investors will trade more than rational investors. We ...
This research comes within the framework of behavioral finance and aims at explain high levels of tr...
We research on how overconfidence affects trading performance in two aspects, whether the degree of ...
This research comes within the framework of behavioral finance and aims at explain high levels of tr...
Individuals and asset managers trade aggressively, resulting in high volume in asset markets, even w...
We investigate the influence of overconfidence and risk aversion on individual financial decision ma...
A central topic in behavioural finance is extensive trading. One of the most common behav- ioural ex...
It has been a challenge for financial economists to explain some stylized factsobserved in securitie...
In this study, we test whether the overconfidence bias explains several stylized market anomalous, i...
In this paper influence of behavioral factors (overconfidence and risk aversion) on financial decisi...
Prior experiments revealed that investors’ overconfidence can result in excessive trade and negative...
In this paper, we develop a model in which overconfident market participants and rational speculator...
The existence of overconfident investors in capital markets has been the subject of much researches ...