47 research outputs found
U.S. monetary policy and herding: Evidence from commodity markets
This paper investigates the presence of herding behavior across a spectrum of commodities (i.e., agricultural, energy, precious metals, and metals) futures prices obtained from Datastream. The main novelty of this study is, for the first time in the literature, the explicit investigation of the role of deviations of U.S. monetary policy decisions from a standard Taylor-type monetary rule, in driving herding behavior with respect to commodity futures prices, spanning the period 1990-2017. The results document that the commodity markets are characterized by herding, while such herding behavior is not only driven by U.S. monetary policy decisions, but also such decisions exert asymmetric effects this behavior. An additional novelty of the results is that they document that herding is stronger in discretionary monetary policy regimes.N/
Robust Monetary Policy in a Model of the Polish Economy: Is the Uncertainty Responsible for the Interest Rate Smoothing Effect?
Test of a quadratic relationship between the yield of TIPS and the federal funds rate
This article examines the potential impacts of monetary policy on the yield of Treasury inflation-protected securities (TIPS). A quadratic relationship is confirmed for all four types of TIPS. It suggests that Fed easing would not lower TIPS yields when the federal funds rate is below certain critical values whereas Fed tightening would raise TIPS yields when the federal funds rate is greater than certain critical values.
Do professional forecasters trust in Taylor-type rules? – Evidence from the Wall Street Journal poll
A survey of dynamic Nelson-Siegel models, diffusion indexes, and big data methods for predicting interest rates
Policy uncertainty, symbiosis, and the optimal fiscal and monetary conservativeness
Monetary-fiscal policy interactions, Nash equilibrium uncertainty, Symbiosis, E61, E63,
Asymmetric monetary policy effects in EMU
This paper develops a semi-structural modelling approach to study asymmetric monetary transmission in Europe. A system of dynamic equations containing reaction functions for monetary policy as well as output gap and inflation equations is simultaneously estimated for France, Germany and Italy. We find asymmetries on the demand side in the strength of interest rate transmission and on the supply side in the effects of the output gap on inflation. The responses are similar in Germany and Italy and generally stronger than in France. Out-of-sample tests do not find a structural break in the transmission mechanisms prior to the establishment of the European Monetary Union.
The ontological status of shocks and trends in macroeconomics
Modern empirical macroeconomic models, known as structural autoregressions (SVARs) are dynamic models that typically claim to represent a causal order among contemporaneously valued variables and to merely represent non-structural (reduced-form) co-occurence between lagged variables and contemporaneous variables. The strategy is held to meet the minimal requirements for identifying the residual errors in particular equations in the model with independent, though otherwise not directly observable, exogenous causes ("shocks") that ultimately account for change in the model. In nonstationary models, such shocks accumulate so that variables have discernible trends. Econometricians have conceived of variables that trend in sympathy with each other (so-called "cointegrated variables") as sharing one or more of these unobserved trends as a common cause. It is possible for estimates of the values of both the otherwise unobservable individual shocks and the otherwise unobservable common trends to be backed-out of cointegrated systems of equations. The issue addressed in this paper is whether and in what circumstances these values can be regarded as observations of real entities rather than merely artifacts of the representation of variables in the model. The issue is related, on the one hand, to practical methodological problems in the use of SVARs for policy analysis – e.g., does it make sense to estimate of shocks or trends in one model and then use them as measures of variables in a conceptually distinct model? The issue is also related to debates in the philosophical analysis of causation – particularly, whether we are entitled, as assumed by the developers of Bayes-net approaches, to rely on the causal Markov condition (a generalization of Reichenbach's common-cause condition) or whether cointegration generates a practical example of Nancy Cartwright's "byproducts" objection to the causal Markov condition
