Quant BuffetRelax, Not Over Thinking

Diversified Machine Learning in Emerging Markets

Log in to collect

Academic paper

Machine Learning and The Cross-Section of Emerging Market Stock Returns

AuthorsMatthias X. Hanauer; Tobias Kalsbach

Institute
  • DETechnical University of Munich
  • ?Robeco Quantitative Investments
  • ?Technische Universität München (TUM)

Strategy in a nutshell

Invest in top-decile emerging market stocks using machine learning models, including trees and neural networks, with monthly rebalancing and hedging via a broad EM index

Economic rationale

Machine learning captures underreaction in emerging markets, utilizes data efficiently, and adapts faster than linear models, generating superior risk-adjusted returns over longer holding periods.

Backtest performance

Annualised return2.8%
Volatility5.32%
Sharpe ratio0.53