Abschlussarbeiten

Es ist möglich, Themen für Abschlussarbeiten mit den Mitarbeitern des Lehrstuhls abzusprechen (z.B. per Mail), je nach Interessensgebiet. Informieren Sie sich hierzu auf den Mitarbeiterseiten bzw. unter dem Menüpunkt Forschung. Bitte fügen Sie Ihrer Bewerbung einen aktuellen Notenauszug sowie Lebenslauf bei.

Beispiele für bisherige Abschlussarbeiten
Titel
Ökonometrische Analyse der Behandlungsmethode RECIPROC in der Endodontologie (Econometric Analysis of RECIPROC in Endodontics) (Luisa Sophie Werner, BA)
Zeitreihenanalyse im Energiehandel: Betrachtung eines Portfolios der EnBW Energie Baden-Württemberg (Patrick Mindum, MA)
Vergleich von Fixed-Effects und Random-Effects in Paneldatensätzen (Comparison of Fixed-Effects and Random-Effects in Panal Data) (Pascal Schuler, BA)
Variable Selection in High-Dimensional Linear Models (Leon Krieger, BA)
Utilizing neural networks for member-by-member post-processing (Jakob Freytag, BA)
Using Artificial Intelligence for Predicting Corporate Bonds (Gebrauch von Methoden Künstlicher Intelligenz zur Vorhersage der Erlösquote von Unternehmensanleihen) (Konstantin Heidenreich, MA)
Treatment Effects in High-Dimensional Models: Analyzing the German Rental Brake (Franziska Aupperle, MA)
Time Series analysis Risk Estimation of High Frequency Financial Data (Risikobestimmung bei Hochfrequenzhandelsdaten) (Florian Jakob, MA)
The idiosyncratic Origin of Aggregate Fluctuations in the Exports of G20 Countries (Die idiusynkratische Entstehung von gesamtwirtschaftlichen Schwankungen bei den Exporten von G20 Ländern) (Petar Ivanov, MA)
The Effect of Policy Measures on Plug-in Electirc Vehicle Diffusion in Europe (Der Effekt von Politikmaßnahmen auf die Marktdurchdringung von Plug-in Elektrofahrzeugen in Europa) (Sebastian Johnen, MA)
Testing for Dependency between Time Series by the Cross-Quantilogram with an Application to the European debt crisis (Elodie Grenard, MA)
Systemic Risk Beta Including Hedge Fund Data (Justus Thomsen, BA)
Systematische Darstellung und Analyse der Verantwortlichkeiten und Zuständigkeiten im Prozess Flightline/Delivery der Airbus A320-Familie am Standort Hamburg (Nicolas Hupays, BA)
Success Factors of Microcredits (Lotta Rüter, MA)
Success Factors in National Team Football: A Detailed Analysis of the Uefa Euro 2020 (Vincent Renner, BA)
Strategische Analyse des Bestandsmanagements in der Automobilindustrie und Identifizierung von Beratungsansätzen (strategic analysis of the inventory management in the automotive industry and identification of consultancy approaches) (Aykut Sönmez, MA)
Specification Testing for Copulas Over Grids (Fabian Kächele, MA)
Smart Energy Management using Data Mining (Islam Heraghi, BA)
Schätzung der Ausfallwahrscheinlichkeit von P2P-Krediten (Estimation of the Probability of Default of P2P-Credits) (Sylvia Schumacher, BA)
Risk Management in Islamic Finance: The use of coherent risk measures and non-normal stable distributions for tail risk estimation (Saide Ben Abdelhamid, BA)
Prune to inform: Feature importance with signed supermasks (Isabelle Wittmann, BA)
Probabilistic energy forecasting using isotonic distributional regression (Kristof Kraus, BA)
Probabilistic Forecasting of Conflict-Related Fatalities Using Neural Networks (Tobias Bodentien, BA)
Predicting the predictability of weather regimes with machine learning methods (Fabian Mockert, MA)
Predicting Recovery Rates with Artificial Intelligence and Concepts from Network Theory (Vorhersage von Recovery Rates (Insolvenzquoten) mit Hilfe von künstl. Intelligenz und Konzepten der Netzwerktheorie) (Friedrich Baumann, MA)
Predicting New York Property Prices: A Combination of Satellite Images and Convolutional Neural Networks (Jannick Deuschel, BA)
Predicting In-Hospital Mortality Using Administrative Date, A deep learning Approach to Risk-adjust Patients (Syrine Mejri, MA)
Potentialanalyse wetterdatenbasierter Zeitreihenmodelle zur Vorhersage von Energieverbräuchen in Produktionswerken (Michelle Kolodziej, BA)
Post-processing of data-driven weather models (Delong Chen, BA)
Pairs Trading in High-frequency Data (Alexander Jaus, BA)
Optimierungspotiential der Instandhaltungsstrategie von Windenergieanlagen durch den Einsatz prädiktiver Wartung (Potential for optimizing maintanance) (Aykut Sönmez, BA)
Non parametric Estimation and Euler Equations (Tobias Rosenberger, MA)
Network-Based Logistics Traffic Forecasting using Machine Learning Algorithms (Huidi Zhu, MA)
Network-Based Logistics Traffic Forecasting using Machine Learning Algorithms (Huidi Zhu, MA)
Modellentwicklung zur Softwarezuverlässigkeit (Stephanie Schmitt, BA)
Modeling Non-Maturity Deposits (Modellierung von Non-Maturity Einlagen) (Karsten Ruppert, MA)
Model Selection and Estimation by Covariance-Thresholding (Jonas Littek, BA)
Mobile Health-Data Mining in der Gesundheitswirtschaft (Dominik Reiss, BA)
Methoden zur Nachfrageprognose im Automative Aftermarket am Beispiel der Robert Bosch GmbH (Steffen Seger, BA)
Machine learning meets time 'series analysis: Forecasting parking occupancy rates in the city of Zurich (Sylvia Schumacher, MA)
Machine Learning for Collection Risk. An Empirical Comparison of Deep Learning with other Machine Learning Algorithms (Hani Rezazadeh, MA)
Machine Learning for Causal Inference: Estimating Heterogeneous Treatment Effects with Causal Forests ects with Causal Forests (Frederike Lübeck, BA)
Large-Scale Texting and Data Snooping (Jan Ehmann, MA)
Large Scale Trading and Data Snooping in Financial Data (Jonas Rotter, BA)
Konzeption und Implementierung eines Prozesses zur Schadensfallprognose unter Verwendung verschiedener Data Mining Modelle (Nils Fink, MA)
Joint Lasso – Eine Analyse des Mietpreises in Deutschland (Benjamin Barth, BA)
Influence of Covid-19 on match-specific data and success factors in the German Bundesliga (Christopher Haas, BA)
Inference Methods for Sparse Linear Models: A New View on Tuition Fees for German Universities (Konstantin Görgen, MA)
Identifying Characteristics of Expected Returns- Beyond the Linear Model (Yannik Lickert, BA)
High-Frequency Financial Econometrics: Predicting Trade Activity and Volume (Carlo Siebenschuh, MA)
Hawkes Processes for High-Frequency Data (Lotta Rüter, BA)
Graph Neural Networks and Spatial Information Learning in Ensemble Post-Processing (Moritz Feik, BA)
Global Exposure and Systemic Risk: A Network Analysis Approach (Globale Exposure Netzwerk und systemrelevantes Risiko: Netzwerkanalyseansatz) (Ployplearn Ravivangpong, MA)
Finding Similar Climate Models (Dario Cantore, MA)
Extremwertstatistik im Quantitativen Risikomanagement (Extreme Value Statistics in Quantitative Risk Management) (Matthias Bitzer, BA)
Evaluation of Influence Factors to Optimize Advanced Driver Assistance Systems Based on Cross Industry Standard Process for Data Mining (Thomas Betz-Mors, BA)
Evaluating Quantile Regression Forests for Value at Risk Prediction (Jonas Meirer, BA)
Estimation of Extremes for Spatio-Temporal Processes with Neural Networks (Christopher Bülte, MA)
Estimating the Economic Effects of EU Accession on Bulgaria, Romania and Croatia Using the Synthetic Control Method (Zafir Maznikov, BA)
Estimating Electricity Market Volatility Shocks with Factor Models (Peter Steuer, BA)
Equity Premium Predictions via Neural Networks (Hailong Chen, BA)
Ensembling Strategies for Neural Network-based Distributional Regression (Lutz Köhler, MA)
Ensemble post-processing and machine learning methods for model chain approaches in solar energy forecasting (Sina Klerings, BA)
Dynamic Pricing in der Parahotellerie - Eine Adaption am Beispiel CASAMUNDO (Kirsten Nachtmann, MA)
Downside Tail Risk in Equity Markets (Florian Merkel, MA)
Discrimination Ability of Multivariate Proper Scoring Rules (Yanting Liu, BA)
Die Entwicklung von Frühwarnsystemen für Krankheitsausbrüche: ein Data Mining Ansatz (Max Schmitt, BA)
Development of an Automated Conflict Prediction System by State Space ARIMA Methods (Adrian Scholl, BA)
Development of an Automated Conflict Prediction System by State Space ARIMA Methods (Adrian Scholl, BA)
Development of a Supplier Scorecard in Quality Management at Bosch Sensortec GmbH (Timo-Alexander Schmalz, BA)
Determinants of banks' interest margins in Germany (Phuong Trang Van Thanh, MA)
Determinants of Credit Risk and Dredit Default Swap Pricing (Bestimmungsfaktoren für Kreditrisiken und CDS-Bepreisung) (Simon Ruf, MA)
Deteminants of monetary policy of the ECB and the FED: empirical evidence (Elyes Bouachba, MA)
Der Einfluss sozioökonomischer Faktoren auf die Wohnsitzeigentumsverhältnisse: eine Semiparametrische Untersuchung (Daniela Ruchser, BA)
Deep nonparametric distributional regression for probabilistic energy prediction (Pavel Zwerschke, BA)
Data Quality Mining for Global Credit Portfolio Data of a Financial Services Provider (Bertrand Henkel, MA)
Data Mining in the Energy Sector (Hassene Elloumi, BA)
Data Mining in Zentralbanken (Alexander Schledewitz, MA)
Data Mining Techniken zur Vorhersage des Strombedarfs (Haleh Janparvar, MA)
Controlled Variable Selection with Deep Knockoffs (Peter Steuer, MA)
Concept for the systematic evaluation of importers using the example of an automobile manufacturer with the help of Data Mining (Nils Fink, BA)
CoVar, CAViaR and Expectiles: Evaluating VaR Forecast Models for European Systemic Risk Estimation (Marco Hamacher, MA)
Can we do any better than Charlson and Elixhauser? A modern statistical approach to risk-adjust patients. (Jonas Müller, MA)
Bootstrapping the Lasso Estimator (Dominik Hermann, BA)
Bewertung von NPL Portfolien mit Methoden des maschinellen Lernens (Uwe Bohne, MA)
Bayesian Penalized Structured Regression for Probabilistic Forecasting of Conflict Fatalities (Simon Drauz, BA)
Auswirkung einer Option auf den Aktienpreis (Effect on Option on Stock Price) (Jonas Reimann, MA)
Application of Data mining Based Decision Support Systems in Health Care, an Overview (Michail Nikolov, BA)
Application of Data Mining in Credit Risk Assessment (Rania Dhahak, BA)
Application Potential of Big Data Mining in the Automotive Industry (Anwendungsmöglichkeiten des Big Data Mining in der Automobilwirtschaft) (Simge Deniz, MA)
Anwendung von Data Mining in mobile Health (mHealth) (Englischer Titel: Application of Data Mining in Mhealth) (Jascha Kuhnle, MA)
Anwendung des Data Mining im Krankenhaus; Stand und künftige Entwicklung (Application of Data Mining in Hospital: State of The Art and Future Development) (Lidija Dick, BA)
Anwendung der Dempster-Shafer Evidenztheorie auf die Bonitätsprüfung (Bertrand Henkel, BA)
Analyzing Spillover Effects in the US Economy using Time Varying Vector Autoregressions (Maximilian Bree, BA)
Analysis of Correlation between the Korean Stock Market and FX Rates using a MNTS Model (Miyeon Cho, MA)
Analysing Financial Tail Risk Networks (Frieder Conrad, MA)
Analysing Consumers' green (or not so green) Purchase behaviour (Jonas Lehmann, MA)
Analyse von Patientenzufriedenheit: ein Data Mining Ansatz (Analysis of patient satisfaction) (Anke Barth, BA)
Analyse und Prognose der Nachfrage von Ersatzteilen in der Autoindustrie im Rahmen der fortschreitenden Digitalisierung der Supply Chain (Steffen Seger, MA)
Analyse und Bewertung von Kennzahlen der Landkreise in Deutschland anhand von bekannten Methoden der Statistik (Analysis and Assessment of Key data of German administrative districts using common statistical methods (Mert Turan, BA)
Alternative Weighting Techniques and Diversification Analysis of Long/Short Momentum Strategies (Anatoli Stark, MA)
Aggregation methods for systemic risk in quantile forecasts: An empirical and simulative evaluation (Christian Rörig, MA)
A comparison of real-time estimates of the effective reproductive number of COVID-19 in Germany (Elisabeth Brockhaus, BA)
Building and Evaluating Forecast Ensembles for COVID-19 Deaths (Daniel Wolffram, MA)