Vorträge / Veranstaltungen von Christina Erlwein-Sayer
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11630Advanced machine learning methods in finance
CFE 2023
Berlin, 16.12.2023 - 18.12.2023
Veranstaltungsbeitrag › Moderation / Session Chair › 2023 -
11627CFE 2023 - 17th International Conference on Computational and Financial Econometrics
HTW Berlin, 16.12.2023 - 18.12.2023
Veranstaltungsorganisation › Konferenz › 2023 -
11629XAIFi - Erklärbare KI (XAI) für das Risikomanagement von FinTech
Transferweek Berlin
Berlin, 20.11.2023 - 22.11.2023
Veranstaltungsbeitrag › Vortrag › 2023 -
11628Mik-KI: Mikrokredite - KI für Ausfallrisiken
Parlamentarischer Lunch
Berlin, 26.09.2023 - 22.11.2023
Veranstaltungsbeitrag › Posterpräsentation › 2023 -
11478HMM-enhanced LSTM for electricity spot price prediction
6th International Conference on Econometrics and Statistics EcoSta 2023
Tokio, Japan, 01.08.2023 - 03.08.2023
Veranstaltungsbeitrag › Eingeladener Vortrag › 2023 -
11631LSTM in varying markets - combining Hidden Markov Models and Neural Networks for modelling corporate credit spreads
DSAS Colloquium
London, Ontario, Kanada, 06.04.2023 - 03.08.2023
Veranstaltungsbeitrag › Eingeladener Vortrag › 2023 -
11077Long-Short-Term Memory Neural Networks in Varying Regimes
GARP event
Berlin, 28.09.2022 - 03.08.2023
Veranstaltungsbeitrag › Eingeladener Vortrag › 2022 -
11075LSTM in varying regimes: How to combine hidden Markov and machine learning models for financial risk management
5th International Conference on Econometrics and Statistics (EcoSta 2022)
Kyoto, Japan, 04.06.2022 - 06.06.2022
Veranstaltungsbeitrag › Vortrag › 2022 -
11079Modellierung von Corporate Credit Spreads – Einbindung von Hidden Markov Modellen in Neuronale Netze
Forschungsseminar HTW
Berlin, 11.05.2022 - 06.06.2022
Veranstaltungsbeitrag › Vortrag › 2022 -
10121Forecasting corporate credit spreads: Regime-switching in LSTM
15th International Conference on Computational and Financial Econometrics (CFE 2021)
King's College London | Online, 18.12.2021 - 20.12.2021
Veranstaltungsbeitrag › Vortrag › 2021 -
9857Embedding regime - switching in modelling of credit spreads through neural networks
4th International Conference on Econometrics and Statistics (EcoSta 2021)
HKUST, Hong Kong | Online, 24.06.2021 - 26.06.2021
Veranstaltungsbeitrag › Vortrag › 2021 -
9147Varying correlation parametrizations in an HMM setting for filter-based portfolio strategies
International Conference on Computational and Financial Econometrics
London, 14.12.2019 - 16.12.2019
Veranstaltungsbeitrag › Vortrag › 2019 -
9148Enhanced prediction of sovereign bond spreads through macroeconomic news sentiment
Financial Evolution: AI, Machine Learning and Sentiment Analysis
London, 25.06.2019 - 26.06.2019
Veranstaltungsbeitrag › Vortrag › 2019