A Summary of “Analysis of the Impact of Suboptimal Assumptions on the Modeling of the Aggregation of Risks”
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Beschreibung
This summary is based on the author's dissertation by the same name from 2023, submitted to and accepted by the University of Library Studies and Information Technologies (UNIBIT) at Sofia.
This summary is based on the author's dissertation by the same name from 2023, submitted to and accepted by the University of Library Studies and Information Technologies (UNIBIT) at Sofia.
The aim of this thesis is the analysis of certain effects regarding the aggregation of log-normal distributed risks or random variates. Multi-level aggregation designs and a wide range of interdependencies are used for this purpose. In addition, the results are compared to corresponding aggregations of normally distributed risks or random variates. Due to the significant complexity of the research question, the study is conducted via numerical simulation based on a created model. A practical goal of the analysis is, among other things, to raise awareness among creators and users of risk aggregation models to unfavorable impacts of suboptimal assumptions on the modeling and to show which assumptions can massively underestimate the overall risk. Furthermore, theoretical and applied concepts will be provided, which can be used in the context of the organization and management of information processes, which are indispensable today and increasingly essential in future.
Autor*in
Johann Markus Schauerhuber
During his studies and academic resp. professional activities Prof. Dr. Dr. Johann Markus Schauerhuber has been intensively involved in statistical programming, stochastic, risk theory, simulation and mathematical modeling.
Most of his professional experience has been gained in the university domain as an academic director, postdoc lecturer / researcher and in government authorities.
Email: jm_schauerhuber@gmx.at