“Noise trading” refers to irrational investor behavior in financial markets. These traders make investment decisions based on emotions or market noise rather than fundamental analysis or market data.
Noise trading often challenges the assumption of market efficiency. The efficient market hypothesis suggests that markets quickly and accurately respond to all available information, and prices reflect all information. However, noise trading argues that investors can influence prices by making irrational decisions, thus reducing market efficiency.
Noise trading may exhibit the following characteristics:
Noise trading creates risks and opportunities in financial markets. On one hand, mispricing can present profit opportunities for traders. On the other hand, it can create volatility and instability, affecting other investors and reducing market efficiency.
In conclusion, noise trading refers to irrational investor behavior in financial markets. These traders make investment decisions based on emotions or market noise, challenging the efficient market hypothesis. Noise trading can lead to mispricing, increased volatility, and reduced market efficiency.