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Stock return autocorrelation, beta, and data frequency

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Stock return autocorrelation, beta, and data frequency

You, Ruochen (2020) Stock return autocorrelation, beta, and data frequency. Masters thesis, Concordia University.

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Abstract

In this thesis, I empirically test the autocorrelation function of stock returns and how the frequency of data affects the measurement of the beta of stock returns. Different data frequencies, from daily to monthly, of stock and market returns from the Center for Research in Security Prices over a 30-year period from 1983 to 2012 are used in the empirical analysis. I find that infrequent rebalancing generates a certain pattern in the autocorrelation function of stock returns and that return autocorrelations can switch sign and become positive. Furthermore, idiosyncratic risk strongly affects the detection of autocorrelation. In addition, the stock beta increases with the measurement time interval. The findings suggest that beta depends heavily on the shape of stock returns' autocorrelation function due to short-term stock reversal.

Divisions:Concordia University > John Molson School of Business > Finance
Item Type:Thesis (Masters)
Authors:You, Ruochen
Institution:Concordia University
Degree Name:M. Sc.
Program:Finance
Date:1 November 2020
Thesis Supervisor(s):Isaenko, Sergey
ID Code:987632
Deposited By: Ruochen You
Deposited On:23 Jun 2021 16:31
Last Modified:02 May 2024 15:23
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