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Infrequent Rebalancing, Return Autocorrelation, and Seasonality

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  • VINCENT BOGOUSSLAVSKY

Abstract

A model of infrequent rebalancing can explain specific predictability patterns in the time series and cross‐section of stock returns. First, infrequent rebalancing produces return autocorrelations that are consistent with empirical evidence from intraday returns and new evidence from daily returns. Autocorrelations can switch sign and become positive at the rebalancing horizon. Second, the cross‐sectional variance in expected returns is larger when more traders rebalance. This effect generates seasonality in the cross‐section of stock returns, which can help explain available empirical evidence.

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  • Vincent Bogousslavsky, 2016. "Infrequent Rebalancing, Return Autocorrelation, and Seasonality," Journal of Finance, American Finance Association, vol. 71(6), pages 2967-3006, December.
    • Handle: RePEc:bla:jfinan:v:71:y:2016:i:6:p:2967-3006
    DOI: 10.1111/jofi.12436
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