Financial Constraints, Monetary Policy Shocks, and the Cross-Section of Equity Returns

2019 ◽  
Vol 33 (9) ◽  
pp. 4367-4402 ◽  
Author(s):  
Sudheer Chava ◽  
Alex Hsu

Abstract We analyze the impact ofa unanticipated monetary policy changes on the cross-section of U.S. equity returns. Financially constrained firms earn a significantly lower (higher) return following surprise interest rate increases (decreases) as compared to unconstrained firms. This differential return response between constrained and unconstrained firms appears after a delay of 3 to 4 days. Further, unanticipated Federal funds rate increases are associated with a larger decrease in expected cash flow news, but not discount rate news, for constrained firms relative to unconstrained firms. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

2016 ◽  
Author(s):  
Alessio Moneta

This paper develops a structural VAR methodology based on graphical models to identify the monetary policy shocks and to measure their macroeconomic effects. The advantage of this procedure is to work with testable overidentifying models, whose restrictions are derived by the partial correlations among residuals plus some institutional knowledge. This permits to test some restrictions on the reserve market used in several approaches existing in the literature. The main findings are that neither VAR innovations to federal funds rate nor innovations to nonborrowed reserves are good indicators of monetary policy shocks.


2004 ◽  
Vol 94 (4) ◽  
pp. 1055-1084 ◽  
Author(s):  
Christina D Romer ◽  
David H Romer

This paper develops a measure of U.S. monetary policy shocks for the period 1969–1996 that is relatively free of endogenous and anticipatory movements. Quantitative and narrative records are used to infer the Federal Reserve's intentions for the federal funds rate around FOMC meetings. This series is regressed on the Federal Reserve's internal forecasts to derive a measure free of systematic responses to information about future developments. Estimates using the new measure indicate that policy has large, relatively rapid, and statistically significant effects on both output and inflation. The effects are substantially stronger and quicker than those obtained using conventional indicators.


2018 ◽  
Vol 10 (2) ◽  
pp. 14 ◽  
Author(s):  
Shigeki Ono

This paper investigates the spillovers of US conventional and unconventional monetary policies to Russian financial markets using VAR-X models. Impulse responses to an exogenous Federal Funds rate shock are assessed for all the endogenous variables. The empirical results show that both conventional and unconventional tightening monetary policy shocks decrease stock prices whereas an easing monetary policy shock does not increase stock prices. Moreover, the results suggest that an unconventional tightening monetary policy shock increases Russian interest rates and decreases oil prices, implying reduced liquidity in international financial markets.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Petre Caraiani ◽  
Adrian Călin

We investigate the effects of monetary policy shocks, including unconventional policy measures, on the bubbles of the energy sector, for the case of the United States. We estimate a time-varying Bayesian VAR model that allows for quantifying the impact of monetary policy shocks on asset prices and bubbles. The energy sector is measured through the S&P Energy Index, while bubbles are measured through the difference between asset prices and the corresponding dividends for the energy sector. We find significant differences in the impact of monetary policy shocks for the aggregate economy and for the energy sector. The findings seem sensitive to the interest rate use, i.e., whether one uses the shadow interest rate or the long-term interest rate.


2004 ◽  
Vol 5 (1) ◽  
pp. 35-59 ◽  
Author(s):  
Ivo J. M. Arnold ◽  
Evert B. Vrugt

Abstract This paper estimates the impact of interest rate shocks on regional output in Germany over the period from 1970 to 2000. We use a vector autoregression (VAR) model to obtain impulse responses, which reveal differences in the output responses to monetary policy shocks across ten German provinces. Next, we investigate whether these differences can be related to structural features of the regional economies, such as industry mix, firm size, bank size and openness. An additional analysis of the volatility of real GDP growth for the period 1992-2000 includes the Eastern provinces. We also present evidence on the interrelationship between firm size and industry, and compare our measure of firm size with those used in previous studies. We conclude that the differential regional effects of monetary policy are related to industrial composition, but not to firm size or bank size.


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