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Research Project

Deep Characteristic Portfolios
Research Project ➤ July 3, 2022

Deep Characteristic Portfolios

We overcome the low performance of standard portfolio optimization by modeling portfolio weights as functions of stock characteristics. Instead of predicting asset returns in a first step and subsequently modeling portfolio weights in a second step, we...

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Diversifying Estimation Errors with Unsupervised Machine Learning
Research Project ➤ December 15, 2021

Diversifying Estimation Errors with Unsupervised Machine Learning

Markowitz Portfolio Optimization is haunted by estimation errors in mean and covariance estimates. Instead of optimizing the Sharpe ratio out-of-sample, the optimizers tend to maximize the estimation Error (Michaud 1989). The estimation error maximization property...

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Factor Chasing: The Case for Cross-Country Factor Momentum
Research Project ➤ December 7, 2021

Factor Chasing: The Case for Cross-Country Factor Momentum

Factor momentum is persistent and observable in global equity markets (Gupta & Kelly (2019)). We take the perspective of a value investor that faces disappointing returns in domestic markets and attempts to chase positive value returns over the world. A strategy that buys winning international...

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Recent Posts

  • Fundamental Parameter Estimation II: MINIMUM VARIANCE PORTFOLIOS
  • Fundamental Parameter Estimation I
  • Local Effects in the Cross-Section of stock Returns
  • Deep Characteristic Portfolios
  • Factor Investing: Deep Time Series Factor Momentum

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