The aims of this paper are to detect evidence of institutional investor herding behaviour and examine the role that investor sentiment plays in institutional investor herding behaviour. The herding behaviour is investigated by examining the dispersion of time varying beta of UK open-end and closed-end funds. The study finds evidence of fund managers' herding behaviour, which suggests they are likely to herd on market portfolio, size, and value factors. UK market-wide investor sentiment index is used for investigating the effects of investor sentiment on institutional herding behaviour. We find a unidirectional investor sentiment effect on the herding of UK mutual fund managers. We also reveal that the sentiment factors affecting UK open-end...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
This paper examines whether UK fund managers engage in herding behaviour in the stock market using t...
The paper explores the existence of herding behaviour in the US mutual funds industry by utilising t...
AbstractThis work studies herding behaviour in a small European market, by analysing the stocks that...
This work studies herding behaviour in a small European market, by analysing the stocks that constit...
In this study, we explored the presence of correlated investment choices (i.e., herd behaviour) amon...
In this paper, we use the traditional herding measure of Lakonishok, Shleifer and Vishny (1992) (LSV...
While considerable evidence exists that institutions herd, the issue of why herding takes place rema...
Portfolio Complexity and Herd Behavior: Evidence from the German Mutual Fund MarketWe examine the he...
The portfolio holdings of 268 U.K. equity mutual funds are employed to test the accuracy of the Lako...
The objectives of this thesis are: first, to investigate the impact of investor sentiment in UK fina...
This paper proposes a methodological improvement to empirical studies of herd behavior based on inve...
We provide the first investigation of herding among closed-end fund investors, drawing on the US clo...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
This paper examines whether UK fund managers engage in herding behaviour in the stock market using t...
The paper explores the existence of herding behaviour in the US mutual funds industry by utilising t...
AbstractThis work studies herding behaviour in a small European market, by analysing the stocks that...
This work studies herding behaviour in a small European market, by analysing the stocks that constit...
In this study, we explored the presence of correlated investment choices (i.e., herd behaviour) amon...
In this paper, we use the traditional herding measure of Lakonishok, Shleifer and Vishny (1992) (LSV...
While considerable evidence exists that institutions herd, the issue of why herding takes place rema...
Portfolio Complexity and Herd Behavior: Evidence from the German Mutual Fund MarketWe examine the he...
The portfolio holdings of 268 U.K. equity mutual funds are employed to test the accuracy of the Lako...
The objectives of this thesis are: first, to investigate the impact of investor sentiment in UK fina...
This paper proposes a methodological improvement to empirical studies of herd behavior based on inve...
We provide the first investigation of herding among closed-end fund investors, drawing on the US clo...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...
We contrast the degree (strong vs. weak), nature (interaction between more and less informed traders...