By Hauke Hansen; et al
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For instance, supermarkets, which sell everything from food to fast-moving consumer goods, typically conduct their business in a highly competitive environment. They can, nonetheless, reduce their exposure. They do so by using market share as a means to “bundle” purchasing. This helps them achieve lower prices for the goods they procure, while the high volumes also give them greater efficiencies in their network of distribution stores. All this confers some level of competitive advantage – and, therefore, reduces the exposure of individual assets.
The resulting overall frequency distribution clearly shows the core frequency despite this disturbance. It also shows that the distribution tail travels across a range of frequencies. The full transformation result reveals the frequency components along the x-axis and the time information along the y-axis. The delay periods in the timeline show up as gaps in the spectrum. 20 An example of a simple wavelet analysis on a sine wave with interrupts causing phase delays Economic timelines, while often demonstrating cyclical features, cannot be represented as stationary oscillations.
Furthermore, this analysis also highlights some geographic differences due to the different regulatory conditions, for example, between utilities in Europe (which have had a low exposure and high ROIC in the past) to those in the US (which have a high exposure and low ROIC). It is interesting to turn this analysis around. If industries with lower exposure are able to realize a higher ROIC, does this go hand-in-hand with higher investment intensity (capital expenditure divided by sales)? One would expect that companies in protected situations would be able to invest more than less-protected companies.
CAPEX excellence : optimizing fixed asset investments by Hauke Hansen; et al