Christina Erlwein-Sayer is a quantitative analyst and senior researcher working on the topic of financial analytics in general and models and tools for portfolio construction and credit risk assessment in particular. Dr Erlwein-Sayer completed her PhD in Mathematics at Brunel University, London in 2008. She then worked as a researcher and consultant in the Financial Mathematics Department at Fraunhofer ITWM, Kaiserslautern, Germany before she started her role at OptiRisk in 2015. She was also the lead member of the training partnership between OptiRisk Systems and Fraunhofer ITWM and presented at many of the workshops; notable among these was the training delivered to the World Bank in Washington.

Enhanced prediction of sovereign bond spreads through Macroeconomic News Sentiment
Sovereign bond spreads are modelled taking into account macroeconomic news sentiment. We investigate sovereign bonds spreads of European countries and enhance the prediction of spread changes by including news sentiment. We conduct a correlation and rolling correlation analysis between sovereign bond spreads and accumulated sentiment series and analyse changing correlation patterns over time. These findings are utilised to monitor sovereign bonds,
predict spread changes in an ARIMAX model and highlight changing risks. The results are integrated in the SENRISK tool, a DSS for Bond Risk Assessment.

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