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The scale of predictability

Author

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  • Federico M. Bandi
  • Bernard Perron
  • Andrea Tamoni
  • Claudio Tebaldi

Abstract

We view economic time series as the result of a cascade of shocks occurring at different times and different frequencies (scales). We suggest that economic relations that are found to be elusive when using raw data may hold true for different layers (details) in the cascade of economic shocks. This observation leads to a notion of a scale-specific predictability. Using direct extraction of the details and two-way aggregation, we provide strong evidence of risk compensations in market returns, as well as of an unusually clear link between macroeconomic uncertainty and uncertainty in financial markets, at frequencies lower than the business cycle. JEL classification: C22, E32, E44, G12, G17 Keywords: long run, predictability, aggregation, risk-return trade-off, Fisher hypothesis.

Suggested Citation

  • Federico M. Bandi & Bernard Perron & Andrea Tamoni & Claudio Tebaldi, 2014. "The scale of predictability," Working Papers 509, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  • Handle: RePEc:igi:igierp:509
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    More about this item

    Keywords

    long run; predictability; aggregation; risk-return trade-off; fisher hypothesis.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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