The Scale of Predictability

67 Pages Posted: 5 Dec 2012 Last revised: 17 Jul 2018

See all articles by Federico M. Bandi

Federico M. Bandi

Johns Hopkins University - Carey Business School

Benoit Perron

University of Montreal - Department of Economics; Center for Interuniversity Research and Analysis on Organization (CIRANO); University of Montreal - Center for Interuniversity Research in Econometrics

Andrea Tamoni

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick

Claudio Tebaldi

Bocconi University - CAREFIN - Centre for Applied Research in Finance; Bocconi University - Department of Finance; Bocconi University - IGIER - Innocenzo Gasparini Institute for Economic Research

Date Written: June 25, 2018

Abstract

We introduce a new stylized fact: the hump-shaped behavior of slopes and coefficients of determination as a function of the aggregation horizon when running (forward/backward) predictive regressions of future excess market returns onto past economic uncertainty (as proxied by market variance, consumption variance, or economic policy uncertainty). To justify this finding formally, we propose a novel modeling framework in which predictability is specified as a property of low-frequency components of both excess market returns and economic uncertainty. We dub this property scale-specific predictability. We show that classical predictive systems imply restricted forms of scale-specific predictability. We conclude that for certain predictors, like economic uncertainty, the restrictions imposed by classical predictive systems may be excessively strong.

Keywords: predictability, frequency, aggregation, risk-return trade-off

JEL Classification: C51, E32, G12, G17

Suggested Citation

Bandi, Federico Maria and Perron, Benoit and Tamoni, Andrea and Tebaldi, Claudio, The Scale of Predictability (June 25, 2018). Available at SSRN: https://ssrn.com/abstract=2184260 or http://dx.doi.org/10.2139/ssrn.2184260

Federico Maria Bandi

Johns Hopkins University - Carey Business School ( email )

100 International Drive
Baltimore, MD 21202
United States

Benoit Perron

University of Montreal - Department of Economics ( email )

C.P. 6128, succursale Centre-Ville
Montreal, Quebec H3C 3J7
Canada
514-343-2126 (Phone)
514-343-5831 (Fax)

Center for Interuniversity Research and Analysis on Organization (CIRANO) ( email )

1130 Sherbrooke west, 14th floor
Montreal H3A 2M8, Quebec
Canada

University of Montreal - Center for Interuniversity Research in Econometrics ( email )

C.P. 6128, Succursale Centre-ville
Montreal, Quebec H3C 3J7
Canada

Andrea Tamoni (Contact Author)

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick ( email )

1 Washington Park
Newark, NJ 07102
United States

Claudio Tebaldi

Bocconi University - CAREFIN - Centre for Applied Research in Finance ( email )

Via Roentgen 1
Milan, 20136
Italy

Bocconi University - Department of Finance ( email )

Via Roentgen 1
Milano, MI 20136
Italy

Bocconi University - IGIER - Innocenzo Gasparini Institute for Economic Research ( email )

Via Roentgen 1
Milan, 20136
Italy

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