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Nonparametric Correspondence Analysis of Global Risk Management Techniques
Abstract
This study presents 211 program managers that were interviewed from around the globe to explore the nature of the relationship between portfolio risk management and the functional discipline where it was applied. The purpose was to identify multidisciplinary best-practices in light of the recent global crises and natural disasters. Open-ended questions were asked to avoid limiting responses to survey choices as well as to capture emerging routines. The participants were from 15 companies around the world with high annual earnings-per-share (listed on the New York Stock Exchange). A mixed-method design was used, employing correspondence analysis in SPSS to estimate the quality of the relationship between the applied techniques versus industry disciplines. A significant symmetric model of portfolio risk management techniques was plotted, dimensioned by five distinct methods across six functional disciplines. The prototype revealed unexpected relationships such as the use of nonlinear techniques in manufacturing and statistical procedures in the human resource/labor management field.
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