The Fed and the Stock Market: An Identification Based on Intraday Futures Data
This article develops a new identification procedure to estimate the contemporaneous relation between monetary policy and the stock market within a vector autoregression (VAR) framework. The approach combines high-frequency data from the futures market with the VAR methodology to circumvent exclusion restrictions and achieve identification. Our analysis casts doubt on VAR models imposing a recursive structure between innovations in policy rates and stock returns. We find that a tightening in policy rates has a negative impact on stock prices and that the Federal Reserve (Fed) has responded significantly to movements in the stock market. Estimates are robust to various model specifications.
Year of publication: |
2011
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Authors: | D'Amico, Stefania ; Farka, Mira |
Published in: |
Journal of Business & Economic Statistics. - Taylor & Francis Journals, ISSN 0735-0015. - Vol. 29.2011, 1, p. 126-137
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Publisher: |
Taylor & Francis Journals |
Saved in:
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