We blend AARC Capital research with partner-informed portfolio optimization to reduce bias and manage risk.
Drawdown control, volatility budgeting, and hedged exposures drive portfolio construction.
Rule-based signals and disciplined rebalancing help remove behavioral noise.
We use options and derivatives to dynamically adjust exposure and improve risk efficiency.
Ongoing research across regimes, stress tests, and scenario analysis supports portfolio design.
Engineering, Data Insights & Research
MSc Computer Science & Mathematics (Manchester) System architecture and data engineering 25+ years experience of working as IT in large banks Old Lane, DB, Credit Suisse, Barclays Capital, BNP Paribas and Capula
Quant Research & Optimization
BSc in Mathematics and Computer Science (University of Melbourne) Expertise: AI, Optimization, mathematics and portfolios modelling Extensive experience at banks and hedge funds: Barclays Capital, BNP Paribas, Citigroup
Marketting & Investment Strategy
BSc Comp Sci (UCL) MRes Comp Sci & AI (UCL) Head of Metal Derivatives - Deutsche Bank 2012 2017 25+ years quant & AI modelling experience Credit Suisse, Barclays Capital, RBS, BNP Paribas and Citigroup
Portfolio Research & Management
BSc (Hons) Economics and Finance (University of Melbourne) Portfolio Manager at various organizations in Australia covering finance and telecommunications. Expertise in data engineering, quant modelling and AI.
AARC Capital integrates partner-informed volatility optimization into a repeatable investment process.
Monte Carlo frameworks model equity and options interactions across market scenarios.
CVaR optimization and downside modeling help protect against extreme losses.
Multiple ML models aggregate signals across indicators, sentiment, and patterns.
Stochastic volatility, skew, and correlation tracking adapt to regime shifts.
Traditional equity exposure can ignore volatility drag and leave risk visible only after losses occur.
Continuous volatility analysis with downside-focused controls.
Options-based exposure adjustments to improve risk efficiency.
Equity-like exposure with daily liquidity and improved risk control.
Designed as a stabilizing allocation within broader portfolios.
Professional-grade analytics support portfolio decisions and client transparency.
Portfolio drawdown, exposure, and volatility diagnostics in one view.
Stress tests and historical shock analysis to validate resilience.
Pricing, optimization, and strategy diagnostics for overlay decisions.
Optimizers that balance return targets against volatility budgets.
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