ACTIVE PORTFOLIO MANAGEMENT IN CONCENTRATED EQUITY MARKETS
By Brian Ceco, Xiaofei Shi, Ting-Kam Leonard Wong
Rating
1500
Battle Count: 0
Relevance
9/10
Highly relevant for quantitative portfolio managers seeking to outperform standard benchmarks (market and equal-weighted) by exploiting macroscopic market properties like diversity and dispersion, especially in periods of high concentration.
Implementation Complexity
7/10
Requires solving linear FBSDEs and calibrating stochastic volatility models. The discrete-time implementation involves rolling horizons and forecasting conditional expectations, which adds complexity compared to static rebalancing.
Reproducibility
5/5
The paper provides a GitHub repository link for reproducing experiments and uses standard public data (CRSP, Ken French Data Library).
About this paper
Methodology: Stochastic Diversity-Dispersion (SDD) Model with Quadratic Cost Surrogate. Problem types: Portfolio Optimization, Stochastic Control, Time Series Forecasting.
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