Applied statistical equipment
Handledare: Jan Holst
Centre for Mathematical Sciences
Lund Institute of Technology,
The thesis is part of a project at the GE Capital European Equipment Finance,
which is the equipment finance arm of General Electric.
The aim of the thesis is to understand the process that generates the yield
within the company and to provide statistics that will support the work to
decrease the variation in yield with respect to the target price for each
deal. The thesis gives an overview of how statistics can be applied to analyse
a strategic pricing business case. The main approach is quantitative but
necessarily a lot of qualitative input from the real applications has completed
Variables that contribute to the value-creating process are chosen empirically
and analysed on two sets of data with different characteristics. Distributions
of the data and possible transformations are discussed for both data sets.
The main variables are analysed similarly for both data sets meanwhile a
range of more detailed variables are analysed separately. Extended analyses
are done in areas of business importance. Adding weight behind the analysis
and to further increase usability of the results a discriminant analysis
tool is presented. The tool is able to predict direction of profitability
of contracts given that relevant data is provided.