Factor Models with Restrictions.
With the Lunch Seminar series, the Department of Finance is bringing eminent and up-and-coming researchers from around the world to Luxembourg.
Abstract:
This paper proposes latent factor models for multidimensional panels called 3D-PCA. Factor weights are constructed from a small set of dimension-specific building blocks, which give rise to proportionality restrictions of factor weights. While the set of feasible factors is restricted, factors with long/short structures often found in pricing factors are admissible. I estimate the model using a 3-dimensional data set of double-sorted portfolios of 11 characteristics. Factors estimated by 3DPCA have higher Sharpe ratios and smaller cross-sectional pricing errors than models with PCA or Fama-French factors. Since factor weights are subject to restrictions, the number of free parameters is small. Consequently, the model produces robust results in short time series and performs well in recursive out-of-sample estimations.
About Prof. Martin Lettau:
Prof. Martin Lettau is a Professor of Finance and Kruttschnitt Family Chair in Financial Institutions.
Language: English
This is a free seminar. Registration is mandatory.
The seminar will be held in person.
Cold lunches are provided to registered participants.
Supported by the Luxembourg National Research Fund (FNR) 17984041