Learning about banks' net worth and the slow recovery after the financial crisis
Josef Hollmayr and
Michael Kühl ()
No 39/2016, Discussion Papers from Deutsche Bundesbank
Abstract:
In this paper, we examine the influence of information rigidities concerning the net worth of banks on the real economy over time. In a first part, we show empirically that expectations about the net earnings of banks (as growth of net worth) are truly biased, particularly during the financial crisis. The forecast error of professional investors cannot be attributed to sticky information but rather to noisy information. Investors display a learning behavior with regard to past forecast errors in forming their expectations about future earnings during the crisis. In a second part, by drawing on a New Keynesian general equilibrium model with a banking sector, we demonstrate that, by quantitatively incorporating this type of information updating and expectations formation about the net worth of banks, noisy information can produce a slow recovery compared to a full information rational expectation case.
Keywords: DSGE Model; Survey Data; Imperfect Information; Learning; Slow Recovery (search for similar items in EconPapers)
JEL-codes: E3 E44 (search for similar items in EconPapers)
Date: 2016
New Economics Papers: this item is included in nep-mac
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https://www.econstor.eu/bitstream/10419/146957/1/870029932.pdf (application/pdf)
Related works:
Journal Article: Learning about banks’ net worth and the slow recovery after the financial crisis (2019) 
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:bubdps:392016
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