This study introduces a new estimator that combines block-recursive restrictions with higher-order moment conditions and non-Gaussian shocks. The proposed estimator improves the accuracy of the estimation, simplifies labeling, and allows for relaxing the independence and non-Gaussianity assumptions in comparison to a purely data-driven approach. We use the approach to disentangle the interaction of stock prices and interest rates into monetary policy and stock market information shocks. We find that traditional monetary policy shocks move interest rates and stock prices in opposite directions, whereas information shocks move both variables in the same direction. Moreover, we uti-lize high-frequency data from FOMC announcements to derive a proxy for central bank information shocks and show that these shocks are statistically relevant for the low-frequency stock market information shock.& COPY; 2023 Elsevier Ltd. All rights reserved.
机构:
Univ Notre Dame, Notre Dame, IN 46556 USA
CEPR, Washington, DC USA
CESifo, Munich, Germany
Ifo, Munich, GermanyUniv Notre Dame, Notre Dame, IN 46556 USA
Bachmann, Rudiger
Goedl-Hanisch, Isabel
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CESifo, Munich, Germany
Ludwig Maximilians Univ Munchen, Munich, GermanyUniv Notre Dame, Notre Dame, IN 46556 USA
Goedl-Hanisch, Isabel
Sims, Eric R.
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Univ Notre Dame, Notre Dame, IN 46556 USA
NBER, Cambridge, MA 02138 USAUniv Notre Dame, Notre Dame, IN 46556 USA
机构:
Univ Putra Malaysia, Sch Business & Econ, Upm Serdang 43400, Selangor Darul, MalaysiaUniv Putra Malaysia, Sch Business & Econ, Upm Serdang 43400, Selangor Darul, Malaysia
Mazlan, Nur Syazwani
INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES,
2021,
12
(12):
机构:
Cent Reserve Bank Peru, Lima, Peru
Pontif Univ Catolica Peru, San Miguel, Peru
Pontif Univ Catolica Rio Janeiro, Rio De Janeiro, BrazilCent Reserve Bank Peru, Lima, Peru
Rojo, Flavio Perez
Rodriguez, Gabriel
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Pontif Univ Catolica Peru, San Miguel, PeruCent Reserve Bank Peru, Lima, Peru