Abdullah Alhammadi

Quantitative Research

Systematic strategies, risk modeling, and portfolio construction through rigorous empirical analysis.

Research Focus

Systematic Strategies

Development and analysis of quantitative trading strategies with emphasis on risk-adjusted returns and institutional implementation considerations.

Risk Modeling

Advanced techniques for portfolio risk assessment, stress testing, and dynamic hedging across multiple asset classes and market regimes.

Portfolio Construction

Optimization frameworks combining traditional mean-variance approaches with machine learning techniques for robust allocation decisions.

Market Microstructure

Analysis of liquidity patterns, execution algorithms, and transaction cost modeling for institutional-scale portfolio management.

Recent Work

Volatility Scaling in Multi-Asset Portfolios

Working Paper • March 2025

Coming Soon12 pages • PDF

An empirical examination of volatility targeting across asset classes, with particular focus on implementation challenges and transaction costs in institutional portfolios.

Mid-Frequency Liquidity Patterns

Research Note • June 2025Coming Soon

Analysis of crowding premiums in the 5-20 day holding period range and implications for systematic strategy design.

Risk Parity in Dynamic Markets

Research Note • May 2025Coming Soon

Adaptive approaches to risk budgeting across changing market regimes with transaction cost considerations.

Professional Inquiries

For possible collaboration opportunities and discussion of research.