Mitic, Peter;
(2018)
Reputation risk: measured.
International Journal of Safety and Security Engineering
, 8
(1)
pp. 171-180.
10.2495/SAFE-V8-N1-171-180.
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Abstract
Two principal results for reputation risk are established. First, reputation risk can be measured in terms of a single index, arising from a data mining process directed at the opinions in a complex multi-agent network. Second, the results of the measurement process, gathered over an extended period, can be expressed directly in monetary terms by finding a correlation between the daily changes in the index and in sales. Stressed periods are modelled by calculating value-at-risk using a ‘loss-distribution/ scenario’ approach, as for operational risk capital. The short-term effect of reputation risk events on sales and profits can be significant in absolute terms, but is small as a percentage of total sales. Negative reputation has a more significant impact than positive reputation
| Type: | Article |
|---|---|
| Title: | Reputation risk: measured |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.2495/SAFE-V8-N1-171-180 |
| Publisher version: | https://doi.org/10.2495/SAFE-V8-N1-171-180 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Reputation, Reputation risk, alva, sentiment analysis, correlation, Loss Distribution, Scenarios, stressed |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163504 |
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