High Frequency Market Microstructure Noise Estimates and Inference Regarding Returns: a portfolio switching approach

Subject Areas : Financial Knowledge of Securities Analysis

Jalal Seifoddini ¹ , F. Rahnamay Roodposhti ² , Hashem Nikoomaram ³

1 - دانشجوی دکتری مدیریت مالی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت مالی، تهران، ایران
2 - استاد و عضو هیئت علمی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت مالی، تهران، ایران،
3 - استاد و عضو هیئت علمی دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه مدیریت مالی، تهران، ایران

Received: 2016-04-18 Accepted : 2016-07-05 Published : 2017-06-22

Keywords: market microstructure noise, noise traders, High Frequency Data, portfolio switching,

Abstract :

Several studies about microstructure noise in capital markets have found that it is a vital aspect of a liquid market. In the absence of noise traders trading volume would severely decrease. However, on the other hand, market microstructure noise deviates prices from their fundamental values. In this paper, we separate the microstructure noise from the price process and then we ask whether high frequency estimates of microstructure noise contain a risk factor and whether that risk factor is priced in the market, meaning that stocks that covary with our high-frequency measure of noise tend to get compensated in the form of higher returns. We examine this question through a portfolio switching approach by looking at the returns of portfolios sorted on our high frequency measurement of the magnitude of the market microstructure noise. The results show that the portfolio corresponding to the highest quartile noise outperforms the portfolio with the lowest quartile noise.

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