How can firms create value while addressing growing sustainability challenges? This course combines the foundations of corporate finance (including investment decisions, valuation, capital structure choices, and risk management strategies) with contemporary issues in sustainable finance. Students explore how environmental, social, and governance (ESG) considerations influence corporate financial decision-making, investment strategies, and firm performance.
Data has become a key resource for decision-making across business, finance, and economics. This course introduces students to Python as a powerful tool for data analytics. Students learn how to pre-process, analyze, and visualize data using key Python libraries. By working with real-world datasets, they develop applied analysis skills that are valued in both academia and industry.
With the advent of the internet, data is increasingly becoming available online. This seminar equips students with practical tools to collect and analyze structured and unstructured data using Python. Students learn how to extract information from websites using automated webscrapers, process textual data, and apply modern textual analysis techniques to answer research questions or inform business decisions.
Digital technologies are transforming the way financial services are conducted. This course examines whether innovations such as crowdfunding platforms, digital currencies, and robo-advisors affect traditional financial services.
Why do investors behave irrationally at times, and when does that affect financial market outcomes? This course introduces models of decision-making under risk and market efficiency, as well as the psychological foundations of biased behavior and the conditions under which individual biases result in aggregate mispricing.