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...

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,...