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#54 Saving Banks from Failure… with Math - Christian Diem | Complexity Science Hub Vienna
Christian Diem is a PhD Candidate at the Complexity Science Hub in Vienna, Austria. His work studies risk modelling in the financial sector. Specifically, he models how banks do business with each other to minimise the risk of banks failing.
To learn more about his work, please visit https://www.csh.ac.at/researcher/christian-diem/
Timeline:
00:00 Introduction
01:03 Christian's background
02:33 Complexity science and network science
03:46 Historical examples of banking risks
07:25 Importance of quantifiable evidence
10:24 Correlated financial risks
12:45 Predictions and economic modelling
13:42 How bank risks are analysed
16:27 Risky interactions between banks
18:48 Optimisation goals in modelling
19:55 How does one bank measure risk?
21:24 How does a sector measure risk?
24:56 Challenges with modelling risk
26:02 What mathematicians really do
28:38 What's next in this field
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By The Knowledge ArchivesChristian Diem is a PhD Candidate at the Complexity Science Hub in Vienna, Austria. His work studies risk modelling in the financial sector. Specifically, he models how banks do business with each other to minimise the risk of banks failing.
To learn more about his work, please visit https://www.csh.ac.at/researcher/christian-diem/
Timeline:
00:00 Introduction
01:03 Christian's background
02:33 Complexity science and network science
03:46 Historical examples of banking risks
07:25 Importance of quantifiable evidence
10:24 Correlated financial risks
12:45 Predictions and economic modelling
13:42 How bank risks are analysed
16:27 Risky interactions between banks
18:48 Optimisation goals in modelling
19:55 How does one bank measure risk?
21:24 How does a sector measure risk?
24:56 Challenges with modelling risk
26:02 What mathematicians really do
28:38 What's next in this field