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Herd Behaviour:How Decisive is the Noise in the NSE and BSE Stock Markets?


Affiliations
1 Rabindra Mahavidyalaya (Affiliated to The University of Burdwan, Burdwan, W.B.), West Bengal, India
     

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Do investors in the stock markets act/react on true information or noise? Do they believe on their own information or simply herd? The study seeks to explore these typical research queries from the behavioural finance perspectives. In particular, it develops a new theory of herding behaviour and extends the models of Banerjee (1992) and Bikhchandani, Hirshleifer, and Welch (1992). The study also empirically tests the same on the Indian context with the high frequency intraday trading data for the real trade-time or timestamp, trade-volume, and trade-price of ten sample scripts listed for their trading in both markets - the Bombay Stock Exchange (BSE) and the National stock Exchange (NSE). The study contributes to the literature with original findings. It shows that investors in the two Indian stock markets show crowd of positive and negative herding as well significantly and there is huge noise along with information in the markets' equilibrium pricing mechanism.

Keywords

Equilibrium Pricing Mechanism, Behavioral Finance, Herding Behavior, Indian Stock Markets, Noise Trading, Intra-Day Trading.
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  • Herd Behaviour:How Decisive is the Noise in the NSE and BSE Stock Markets?

Abstract Views: 297  |  PDF Views: 0

Authors

Paritosh Chandra Sinha
Rabindra Mahavidyalaya (Affiliated to The University of Burdwan, Burdwan, W.B.), West Bengal, India

Abstract


Do investors in the stock markets act/react on true information or noise? Do they believe on their own information or simply herd? The study seeks to explore these typical research queries from the behavioural finance perspectives. In particular, it develops a new theory of herding behaviour and extends the models of Banerjee (1992) and Bikhchandani, Hirshleifer, and Welch (1992). The study also empirically tests the same on the Indian context with the high frequency intraday trading data for the real trade-time or timestamp, trade-volume, and trade-price of ten sample scripts listed for their trading in both markets - the Bombay Stock Exchange (BSE) and the National stock Exchange (NSE). The study contributes to the literature with original findings. It shows that investors in the two Indian stock markets show crowd of positive and negative herding as well significantly and there is huge noise along with information in the markets' equilibrium pricing mechanism.

Keywords


Equilibrium Pricing Mechanism, Behavioral Finance, Herding Behavior, Indian Stock Markets, Noise Trading, Intra-Day Trading.