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Financial centre predictions from the SVM<br />
are combined with actual financial centre<br />
assessments to produce the GFCI—a set <strong>of</strong><br />
financial centre ratings. The GFCI is dynamically<br />
updated either by updating and adding to the<br />
instrumental factors or through new financial<br />
centre assessments. These updates permit,<br />
for instance, a recently changed index <strong>of</strong> rental<br />
costs to affect the competitiveness rating <strong>of</strong> the<br />
centres. No weightings are assigned to each<br />
instrumental factor, although the SVM uses each<br />
respondent’s assessments in combination with<br />
the instrumental factors to predict the factors<br />
that are most important to each respondent.<br />
Different respondents place different emphasis<br />
on different factors. The process <strong>of</strong> creating the<br />
GFCI is outlined diagrammatically.<br />
It is worth drawing attention to a few consequences <strong>of</strong> basing the GFCI on instrumental factors and questionnaire responses:<br />
• Several indices care used for each competitive factor and there are alternatives available;<br />
• A strong international group <strong>of</strong> ‘raters’ is being developed as the GFCI progresses;<br />
• Sector-specific ratings are created by using the business sectors represented by questionnaire respondents. This<br />
makes it possible to rate London as competitive in Insurance (for instance) while less competitive in Investment<br />
Management (for instance);<br />
• The factor assessment model can be queried in a ‘what if’ mode—“how much would London rental costs need to fall<br />
in order to increase London’s ranking against New York?”; and,<br />
• Part <strong>of</strong> the process <strong>of</strong> building the GFCI is extensive sensitivity testing to changes in factors <strong>of</strong> competitiveness<br />
and financial centre assessments. The accuracy <strong>of</strong> predictions given by the SVM is regularly tested against actual<br />
assessments.<br />
6.2 Appendix B – GFCI Instrumental Factors<br />
One <strong>of</strong> the two main inputs to the GFCI is a list <strong>of</strong> instrumental factors (105 in GFCI 16). Shown below are the 105 factors<br />
and the R-Squared <strong>of</strong> the correlation with GFCI—a higher R-Squared implies stronger correlation.<br />
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