Cesare Villiger

Cross-Market Analysis

• Continued as working student after internship in Implementation Analysis.
• Analyse and interpret events in the financial markets;
• Tracking, interpreting and presenting key events in the financial markets. Developing qualitative and quantitative analyses and research projects about a range of different markets.
• Operational implementation of monetary policy as FX trader.

Implementation Analysis

• Moved to Implementation Analysis after institutional reorgansiation.
• Same responsibilities as in Analysis Foreign Exchange and Gold. Further includes in depth analyses of the Swiss money markets to cover both markets instrumental in Swiss monetary policy implementation.
• Designing and developing tools for reporting on relevant financial market events and monetary policy implementation;

FX Analysis

• Development of tools for ongoing monitoring and reporting of relevant financial market events and monetary policy implementation.
• Tracking, evaluating and interpreting events in the financial markets. Developing qualitative and quantitative analyses and research projects about the foreign exchange markets.
• Operational implementation of monetary policy as FX trader.

Teaching Assistant

• Managed and mentored student teams on practical tasks, while also being responsible for the preparation, grading, and correction of exams.

Research and Teaching Assistant

• Responsible Headcoach for the course "Corporate Finance" with over 400 students and MAS participants. This includes: hosting exercise sessions, preparing the course material, learning videos and final exam, administration and recruitment.
• Co-creation and lecturing in the courses "Climate Change Finance" and "eFundamentals of Programming".
• Data gathering and visualisation for various professors at the Institute of Banking & Finance.

Teaching Assistant

• Teaching assistant for secondary school in Zurich. Reponsible for: informatics, mathematics, and languages (German, English, French).

Tutor

• Tutoring students ranging from grammar school preparation to university level in mathematics, German and French.

Special Students Program: MSc in Data Science, Statistics and Economics

24/30 ECTS of electives courses expected to be completed at ETH, covering multivariate statistics, statistical regression and applied time series analysis.

MA Economics and Data Science

Current Average Grade: 5.7.

BA Economics and Informatics

Final Grade: 5.1 (magna cum laude).

International Baccalaureate Diploma Programme (UZH)

Focus on Latin, Maths and English.

Swiss Matura (UZH)

Focus on Latin, English, Maths and Music.

Statistical Finance III

In this report, we simulate random variates of the multivariate t distribution and use the MMF algorithm, an improvement on the EM algorithm, to estimate its paramters. We compare the estimate to the ones given by MLE and weighted estimates thereof.

Statistical Finance II

In this report, we simulate random variates for the noncentral t distribution and copmare the coverage accuracies of confidence intervals for the expected shortfall based on the parametric and non-parametric bootstrap.

Statistical Finance I

In this report, we simulate the stable Paretian distribution and sums thereof for different tail indices and compare the theoretical to the empirical expected shortfall.

Bachelor Thesis

Absract: Absract: This paper examines the influence of railway construction on economic growth in Switzerland in the second half of the 19th century. The data refers to 191 districts of Switzerland over a period of five decades. In the estimation of a dynamic panel model, an endogeneity problem between the error terms and the lagged dependent variable arises (Nickell, 1981). This problem can be solved by a generalised method of moments estimator (GMM), which uses lags of the regressors as instruments. This paper uses a system GMM estimator according to Blundell and Bond (1998), which yields a significantly negative estimator for the aggregate effect across all districts. The disaggregated effect for the largest districts is, however, significantly positive. This suggests that certain districts have used railway construction to their advantage and were able to maintain this advantage over the entire period under consideration.