In this paper, I examine the effects of money supply, aggregate spending, and aggregate supply shocks on real US stock prices in a structural vector autoregression framework. Overall, the empirical results indicate that each macro shock has important effects on real stock prices. The real stock price impulse responses to the various macro shocks conform to the standard present-value equity valu...

In this paper, we examine the convergence hypothesis using a long memory framework that allows for structural breaks and does not rely on a benchmark country using both univariate and multivariate estimates of the long memory parameter d. Using per capita GDP gaps, we confirm the findings of non-stationarity and long memory behavior that have been found previously in the literature using univar...

Unrestricted reduced form vector autoregressive (VAR) models have become a dominant research strategy in empirical macroeconomics since Sims (1980) critique of traditional macroeconometric modeling. They are however subjected to the curse of dimensionality. In this paper we propose general-to-specific reductions of VAR models and consider computer-automated model selection algorithms embodied i...

Decomposing volatilities into a common market-driven component and an idiosyncratic itemspecific one is an important issue in financial econometrics. This, however, requires the statistical analysis of large panels of time series, hence faces the usual challenges associated with highdimensional data. Factor model methods in such a context are an ideal tool, but they do not readily apply to the ...

In 2007, Germany changed network access regulation in the natural gas sector and introduced a so-called entry–exit system. The spot market effects of the reregulation remain to be examined. We use cointegration analysis and a state space model with time-varying coefficients to study the development of natural gas spot prices in the two major trading hubs in Germany and the interlinked spot mark...

We propose a new test for superior predictive ability. The new test compares favorable to the reality check for data snooping (RC), because the former is more powerful and less sensitive to poor and irrelevant alternatives. The improvements are achieved by two modifications of the RC. We employ a studentized test statistic that reduces the influence of erratic forecasts and we invoke a sample d...

This paper studies the monetary transmission mechanism in the U.S. It proposes a mixed-frequency version of the factor-augmented vector autoregressive regression (FAVAR) model, which is used to construct a coincident index to measure the monetary transmission mechanism. The model divides the transmission of changes in monetary policy to the economy into three stages according to the timing and ...

This paper examines empirically whether nonlinearities play a significant role in the modeling of the carbon price. We highlight the limits of previous carbon markets analyses based essentially on a linear econometric framework. Instead, we propose to revisit the main results on carbon pricing and the inter-relationships with energy markets and CERs based on nonlinear techniques (threshold vect...

We use generalized method of moments to estimate a rational expectations aggregate demand/aggregate supply macroeconomic model for five European economies and the United States. Our aim is to examine whether supply or demand shocks have predominated in these economies during the post-war era, and whether shocks of either type have been primarily temporary or permanent in nature. The estimation ...

The phrase business cycle is usually used for short term fluctuations in macroeconomic time series. In this paper we focus on the estimation of business cycles in a bivariate manner by fitting two series simultaneously. The underlying model is thereby nonparametric in that no functional form is prespecified but smoothness of the functions are assumed. The functions are then estimated using pena...