The Role of Learning for Asset Prices and Business Cycles

Fabian Winkler

No 2016-019, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: I examine the implications of learning-based asset pricing in a model in which firms face credit constraints that depend partly on their market value. Agents learn about stock prices, but have conditionally model-consistent expectations otherwise. The model jointly matches key asset price and business cycle statistics, while the combination of financial frictions and learning produces powerful feedback between asset prices and real activity, adding substantial amplification. The model reproduces many patterns of forecast error predictability in survey data that are inconsistent with rational expectations. A reaction of the monetary policy rule to asset price growth increases welfare under learning.

Keywords: Asset Pricing; Credit Constraints; Expectations; Financial Frictions; Learning; Monetary policy; Survey Data; Survey Forecasts (search for similar items in EconPapers)
JEL-codes: D83 E32 E44 E52 G12 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2016-01-20
New Economics Papers: this item is included in nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Related works:
Journal Article: The role of learning for asset prices and business cycles (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:fip:fedgfe:2016-19

DOI: 10.17016/FEDS.2016.019r1

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