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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Cyber risk modelling using copulas
 Spišiak, Michal ; Teplý, Petr (advisor) ; Baruník, Jozef (referee)
Cyber risk or data breach risk can be estimated similarly as other types of operational risk. First we identify problems of cyber risk models in existing literature. A large dataset consisting of 5,713 loss events enables us to apply extreme value theory. We adopt goodness of fit tests adjusted for distribution functions with estimated parameters. These tests are often overlooked in the literature even though they are essential for correct results. We model aggregate losses in three different industries separately and then we combine them using a copula. A t-test reveals that potential one-year global losses due to data breach risk are larger than the GDP of the Czech Republic. Moreover, one-year global cyber risk measured with a 99% CVaR amounts to 2.5% of the global GDP. Unlike others we compare risk measures with other quantities which allows wider audience to understand the magnitude of the cyber risk. An estimate of global data breach risk is a useful indicator not only for insurers, but also for any organization processing sensitive data.
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Assessment of cyber risk in the banking industry
 Spišiak, Michal ; Teplý, Petr (advisor) ; Maršál, Aleš (referee)
There has never been more need to discuss cybersecurity related issues. We live in a world where criminals do not have to physically visit a bank to steal money from it, where elections results can be influenced by data breached from personal email accounts, where to win a war a country needs skilled cybersecurity specialists rather than powerful weapons and where patients do not get recommended treatment because a hospital is under a cyberattack. The financial industry as a backbone of any modern economy requires adequate protection against cybercrime. We discuss major cyber threats for financial institutions as well as possible protection methods. After that we introduce Basel II Framework for operational risk assessment and we evaluate data breach risk in an empirical analysis. 1
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