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A multi-factor market-neutral investment strategy for New York Stock Exchange equities

2024-12-16 · Georgios M. Gkolemis, Adwin Richie Lee, Amine Roudani

This report presents a systematic market-neutral, multi-factor investment strategy for New York Stock Exchange equities with the objective of delivering steady returns while minimizing correlation with the market. A robust feature set is integrated combining momentum-based indicators, fundamental factors, and analyst recommendations. Using various statistical tests for feature selection, the strategy identifies key drivers of equity performance and ranks stocks to build a balanced portfolio of long and short positions. Portfolio construction methods, including equally weighted, risk parity, and minimum variance beta-neutral approaches, were evaluated through rigorous backtesting. Risk parity demonstrated superior performance with a higher Sharpe ratio, lower beta, and smaller maximum drawdown compared to the Standard and Poor's 500 index. Risk parity's market neutrality, combined with its ability to maintain steady returns and mitigate large drawdowns, makes it a suitable approach for managing significant capital in equity markets.

📄 PDF Abstract BibTeX arXiv:2412.12350

Code (1)

amineroudani/Data-Driven-Methods-in-Finance-Final-Project 공식 구현

Tasks

feature selection

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

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