Arbeitspapier

News Shocks under Financial Frictions: A comment on Görtz et al. (2022)

Görtz et al. (2022) estimate the effects of innovations to future total factor productivity (TFP) on financial markets. In a Bayesian vector autoregression, they identify a TFP news shock as one that explains the largest share of 40- quarter ahead forecast error variance (FEV) of TFP. Their estimated impulse responses functions show that a positive news shock significantly decreases credit market spreads and increases credit market supply. They also find that a shock that explains the maximum of the FEV of the "excess bond premium" (EBP) (Gilchrist and Zakrajsek 2012) causes similar responses. These results are consistent with an estimated DSGE model with financial frictions. We estimate the main IRFs of the study using the original data and a frequentist estimation approach. We obtain similar point estimates for the dynamic responses to TFP news and EBP max-share shocks. We also update their macroeconomic and financial time series, as some of the data has been revised substantially since their original estimate. We use the updated data to re-estimate the above-mentioned IRFs, and we find that the results are robust to this change in the data. Finally, we investigate the computational reproducibility of their DSGE results, and find that their provided code (consistent with warnings in their README file) does not execute in the most recent version of Dynare or Matlab. Using the version indicated in their replication files, we encounter issues estimating the posterior mode.

Sprache
Englisch

Erschienen in
Series: I4R Discussion Paper Series ; No. 51

Klassifikation
Wirtschaft
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Price Level; Inflation; Deflation
Business Fluctuations; Cycles
Financial Markets and the Macroeconomy
Asset Pricing; Trading Volume; Bond Interest Rates
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Thema
Replication
News Shocks
Financial Frictions
Excess Bond Premium

Ereignis
Geistige Schöpfung
(wer)
Ash, Thomas
Nikolaishvili, Giorgi
Struby, Ethan
Ereignis
Veröffentlichung
(wer)
Institute for Replication (I4R)
(wo)
s.l.
(wann)
2023

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ash, Thomas
  • Nikolaishvili, Giorgi
  • Struby, Ethan
  • Institute for Replication (I4R)

Entstanden

  • 2023

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