Article Title

Estimating proportion of noise traders and asset prices

Authors

Mirza Faizan Ahmed, NED University of Engineering and Technology, Karachi, PakistanFollow

Abstract

This paper provides empirical evidence of the presence, proportion and trading behavior of noise traders in the U.S. equity market (S&P500 index). A simple methodology is used to estimate the heterogeneous agent asset pricing model involving noise traders’ risk, through GMM. Departing from previous estimations of heterogeneous agent models, it estimates fundamental price using the consumption-based asset pricing model and noise traders’ misperception as deviation from this price. It concludes that noise traders exist in the S&P500, they exaggerate price expectations as compared to fundamental traders, and traders (or investors) are rational, on average.

Keywords

Asset pricing, Heterogeneous beliefs, Noise traders, Representative agent model

DOI

https://doi.org/10.54784/1990-6587.1014

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Ahmed, M. F. (2019). Estimating proportion of noise traders and asset prices. Business Review, 14(2), 1-12. Retrieved from https://doi.org/10.54784/1990-6587.1014