A Quantitative Analysis of Distortions in Managerial Forecasts / Yueran Ma, Tiziano Ropele, David Sraer, David Thesmar.

Format:

Book

Author/Creator:

Ma, Yueran.

Contributor:

National Bureau of Economic Research.

Ropele, Tiziano.

Sraer, David.

Thesmar, David.

Series:

Working Paper Series (National Bureau of Economic Research) no. w26830.

NBER working paper series no. w26830

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2020.

Summary:

This paper quantifies the economic costs of distortions in managerial forecasts. We match a unique managerial survey run by the Bank of Italy with administrative data on firm balance sheets and income statements. The resulting dataset allows us to observe a long panel of managerial forecast errors for a sample of firms representative of the Italian economy. We show that managerial forecast errors are <i>positively and significantly</i> autocorrelated. This persistence in forecast error is consistent with managerial underreaction to new information. To quantify the economic significance of this forecasting bias, we estimate a dynamic equilibrium model with heterogeneous firms and distorted expectations. The estimated model matches not only the persistence of forecast errors, but the empirical link between investment and managerial forecasts. Relative to a counterfactual with rational expectations, we find that managers exhibit large forecasting biases, which lead to significant distortions in firm-level investment. These distortions, however, imply limited loss in firm value. In general equilibrium, the estimated model leads to negligible aggregate efficiency losses from distorted forecasts.

Notes:

Print version record

March 2020.