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Month: December 2021

Factor Investing: Cross-Correlation Time-Series Momentum
Blog Post ➤ December 26, 2021

Factor Investing: Cross-Correlation Time-Series Momentum

Let me introduce you to time-series factor momentum, a strategy that attempts to harness the auto-correlation in factor returns (see Gupta & Kelly (2019) for a comprehensive study). Factor returns are frequently significantly auto-correlated, which...

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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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Blog Post ➤ December 1, 2021

Factor Zoo Manifold Learning: Extracting Cross-Sectional Signals from High Dimensions

The factor zoo challenges financial research and raised doubts regarding post-publication robustness and data snooping. Feng et al. (2020) find that only a few new anomalies are enough to explain the cross section of stock returns, while the other factors are redundant. Another way...

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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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