Financial Risk Profiling using Logistic Regression
As automation in the financial service industry continues to advance, online investment advice has emerged as an exciting new field. Vital to the accuracy of such service is the determination of the individual investors’ ability to bear financial risk. To do so, the statistical method of logistic re...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
KTH, Matematisk statistik
2018
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229821 |