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The objective of this paper is to analyze the performance of a kernel-based method in identifying the potential for collapse (or survival) of a firm operating in three different sectors of the economy Technology, Pharmaceutical and Banking. The analysis uses the actual stock market data, collected on a weekly basis in a common time-series interval for the active and dead companies in each of the three sectors. The basic idea is to apply the concept of Fisher kernels and visualization to reducedoi:10.1109/icsmc.2009.5345982 dblp:conf/smc/AthavaleGHK09 fatcat:pznexcbahrhwfc2uwh4hx3vxvi