- Financial databases available at HEC Montréal.
- The empiricist workflow: from idea to reproducible research.
- Fundamental concepts in programming: variables types flow control debugging documentation an overview of scientific libraries and their use to calculate financial ratios and manipulation of financial data.
- Data visualization: Features of a good graph and choice of graph for the representation of financial data.
- Advanced programming for finance research: profiling object-oriented programming with use for yield curve estimation and portfolio allocation by numerical optimization.
- Common probability distributions (PDF CDF and their inverses).
- Random numbers generation and the use of density functions for estimation and visualization.
- Property of estimators confidence intervals and hypothesis tests.
- P-values p-hacking and ethics in empirical financial research.
- Nonparametric statistics.
- Simulations and bootstrapping method for statistical inference.
- Simulations of parametric models in finance.
- Common uses of linear regression.
- Panel methods in finance.
- Robust and clustered standard errors pooling and fixed effects.