Maria Kartsakli

- Prepare teaching material, grade assignments and exams for courses related to banking and finance. - Collect, organize and analyse data.

- Grade master thesis on commodities and assignments in R. - Make research on topics such as the financialization of commodity markets or price spillover effects. - Use R code for data analysis (fixed effects, clustered standard errors, variance decomposition). Credit

- Collected and codified commercial, financial and trading data derived from public sources and call interviews. - Evaluated financial statements, undertook risk assessment analysis, as well as provided credit rating. - Delivered statistical report graded with 9/10 which involved data analysis together with validity tests on business indicators, as well as construction and application of Fisher’s discriminant rule.

- Responsible for the exchange team, raised and realized internships as well as matched exchange participants. - Executed market research and sales meetings to forge new partnerships and accommodated stakeholders.

- Topics in Energy Finance, Spatial Econometrics, Topics in Insurance Economics, Computational Statistics, Corporate Finance, Asset Pricing, Financial Intermediation, Big Data Econometrics - Working paper : “Has Crude Oil Become a Financial Asset? Evidence from Ten Years of Financialization”

- Corporate Finance, Economic Analysis, Accounting, Quantitative Methods, Energy Economics, Issues in Energy Economics, Empirical Methods in Energy Economics, Real Options and Decision Making - Thesis: “The Potential of the FLNG Option: Real Options and DCF Analysis on the Prelude FLNG Case”

- Data Base, Introduction in Economic Analysis (both in Spanish)

- Linear Regression, Decision Theory, Actuarial, Data Analysis, Risk Theory, Bayesian Statistics, Multivariate Techniques, Survival Analysis, Sampling Techniques, Linear Algebra, Probabilities etc.