The application of wavelet analysis provides an orthogonal decomposition of a time series by time scale, thereby facilitating the decomposition of a data series into the sum of a structural component and a random error component. The structural components revealed by the wavelet analysis yield...

In this paper we revisit the evidence recently provided by Philippon (2009) about the relationship among bond market's Q, stock market's Q and aggregate investments for the US. Specifically, we analyze the stability of the relationship between aggregate investment and the two measures of Q...

This paper uses the structural change model and wavelet exploratory analysis to re-examine Tobin's q theory of investment. There are two main results. First, wavelet exploratory analysis provides a useful complementary approach to standard confirmatory statistical analysis. Specifically, using...

The information content of several interest rate spreads for future output growth is analyzed using wavelet analysis. The “scale-by-scale” regression analysis shows that standard indicators of the stance of monetary policy, such as the shape of the yield curve, the real federal funds rate,...

The literature on aggregate investment has recently shifted attention away from the stock market in favor of the bond market as a consequence of the disappointing empirical results of stock market's Q and the ability of credit spreads to forecast investment and output growth. In this paper we...