Covers both conventional corporate finance aspects (valuation, capital structure considerations, risk management) and the impact of sustainability concerns on corporate financial decision-making.
Introduces central Python libraries for Data Analytics, which students apply on real-world datasets.
Covers applied tools to scrape data from the web and apply textual analysis methods in Python.
Covers how digital innovation affect traditional financial services (lending, venture financing, payments, financial advice).
Introduces models of decision-making under risk and market efficiency, foundations of biased behavior, and the conditions under which individual biases result in aggregate mispricing.