Diversified Machine Learning in Emerging Markets
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Machine Learning and The Cross-Section of Emerging Market Stock Returns
Matthias X. Hanauer; Tobias Kalsbach
- 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