Research seminars

An Information-Theoretic Asset Pricing Model

Finance

Speaker: Christian Julliard
LSE - The London School of Economics

9 March 2017 - T015 - From 2:00 pm to 3:15 pm


We show that a non-parametric estimate of the pricing kernel, extracted using an information-theoretic approach, delivers out-of-sample smaller pricing errors and better cross-sectional fit than leading factor models, and identifies the maximum Sharpe ratio portfolio. This information SDF identifies a novel source of risk not captured by Fama-French and momentum factors, revealing an ‘information anomaly’ that generates annualized alphas of about 9%–24%. A tradable information portfolio that mimics this kernel has high out-of-sample Sharpe ratio (about 1 or more), outperforming both the 1/N benchmark and Value and Momentum strategies combined. These results hold for wide cross-sections of test portfolios.

Finance

Speaker: Adriano Rampini

23 May 2019 - T105 - From 2:00 pm to 3:15 pm


Finance

Speaker: Luke Taylor

16 May 2019 - T105 - From 2:00 pm to 3:15 pm


Finance

Speaker: Jessica Jeffers

18 April 2019 - T004 - From 2:00 pm to 3:15 pm


Finance

Speaker: Emil Verner

4 April 2019 - T104 - From 2:00 pm to 3:15 pm


Finance

Speaker: Ramona Dagostino

14 March 2019 - T004 - From 2:00 pm to 3:15 pm



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