Courses

Behavioral Finance is an approach to the analysis of asset prices, corporate finance, and financial decision-making in general, that relaxes some key assumptions of neoclassical financial economics. Namely, it considers a larger class of objective functions, not always compatible with expected utility. Second, it entertains the possibility that expectations are sometimes biased, and not updated in a Bayesian manner. Third, it considers how various financial market frictions can form strong 'limits to arbitrage'. This course is designed to introduce doctoral students to these concepts, and to support them in developing behavioral research ideas of their own. 

A one-week full-time intensive course on market microstructure at PhD or advanced research master level. The course aims to acquaint students with the field of market microstructure, both theoretically and empirically. Market microstructure has grown rapidly as an important subfield of finance. Research in this field focuses on the intertwined relationships between volatility, liquidity, price discovery, market design, and ultimately welfare. Models in market microstructure provide a framework for the analysis of price movements and trading volume. More information is available at the course website.

*This edition will feature a guest lecture by Paul Milgrom (Stanford)*

Application is open, see the course website. The deadline for applications is December 1, 2023.

The course is intended for PhD students who have completed their core courses (macro, micro, econometrics, etc.). It could be considered a necessary "field course" for those interested in international macro and finance. The course is likely to be of interest to professionals in the investment industry (e.g., quants at HFTs, at hedge funds, or at buy-side institutions), or researchers in central banks or regulatory agencies. More information will be updated on the course website.