Market-Neutral Strategies in Mid-Cap Portfolio Management: A Data-Driven Approach to Long-Short Equity
Saumya Kothari, Harsh Shah, Utkarsh Prajapati, Shrinjay Kaushik

TL;DR
This paper presents a data-driven long-short equity strategy for mid-cap stocks, achieving high risk-adjusted returns and demonstrating stability across different market conditions.
Contribution
It introduces a novel mid-cap focused long-short approach with enhanced portfolio optimization and reproducibility, filling a gap in existing research.
Findings
Achieved a Sharpe ratio of 2.132 in test data
Strategy remains stable across various market conditions
Highlights mid-cap stocks as an attractive investment opportunity
Abstract
Mid-cap companies, generally valued between $2 billion and $10 billion, provide investors with a well-rounded opportunity between the fluctuation of small-cap stocks and the stability of large-cap stocks. This research builds upon the long-short equity approach (e.g., Michaud, 2018; Dimitriu, Alexander, 2002) customized for mid-cap equities, providing steady risk-adjusted returns yielding a significant Sharpe ratio of 2.132 in test data. Using data from 2013 to 2023, obtained from WRDS and following point-in-time (PIT) compliance, the approach guarantees clarity and reproducibility. Elements of essential financial indicators, such as profitability, valuation, and liquidity, were designed to improve portfolio optimization. Testing historical data across various markets conditions illustrates the stability and resilience of the tactic. This study highlights mid-cap stocks as an…
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Taxonomy
TopicsReservoir Engineering and Simulation Methods · Stochastic processes and financial applications · Private Equity and Venture Capital
