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Aggregate Comovements, Anticipation, and Business Cycles

Author

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  • David R. F. Love

Abstract

This paper shows that negative comovements between major macroeconomic variables at business-cycle frequencies are commonly observed, but that standard Real Business Cycle (RBC) theory fails to predict this feature of the data. We show that allowing for “anticipation effects” in response to “news shocks” enables standard RBC models to predict both the observed patterns of negative comovement and overall positive correlations. Anticipation also improves magnification of shocks in the model without harming predictions for the other second moments central to RBC studies. Anticipation effects improve on standard RBC frameworks by offering an empirically plausible explanation for the nontrivial fraction of time that aggregate variables are observed to comove negatively.

Suggested Citation

  • David R. F. Love, 2011. "Aggregate Comovements, Anticipation, and Business Cycles," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 93-110.
    • Handle: RePEc:oec:stdkab:5kgg5k4plkzs
    DOI: 10.1787/jbcma-2011-5kgg5k4plkzs
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    2. David R. F. Love, 2011. "Aggregate Comovements, Anticipation, and Business Cycles," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 93-110.

    More about this item

    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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