— QUANTITATIVE CAPABILITIES

Financial markets generate an enormous number of questions. Which factors are driving returns? How do markets behave around specific events? Are apparent relationships persistent or simply statistical noise?

ScalaQuant conducts independent quantitative research to investigate these questions, combining financial markets expertise, statistical methods and modern data capabilities.

Our research spans market behaviour, systematic strategies, macroeconomic relationships, alternative data and event-driven phenomena — from initial hypothesis through to empirical testing and implementation.

Market Research

Quantitative Research

Event-Driven Research

Granular execution metrics, liquidity dynamics, and order-book microstructure analysis designed to isolate structural alpha across global trading venues.

Advanced algorithmic signal generation, statistical arbitrage frameworks, and mathematical modeling tailored for high-frequency and multi-horizon strategies.

Systematic capture of market mispricings around corporate actions, earnings announcements, restructuring events, and major catalyst triggers.

Systematic Strategy Research

Factor & Cross-Sectional Research

Macro & Economic Research

End-to-end framework design, backtesting validation, and portfolio optimization engines engineered to sustain risk-adjusted returns under live market conditions.

Decomposition of cross-asset risk premia, style momentum, and multi-factor models to evaluate portfolio tilt and systematic exposure.

Integration of global central bank dynamics, yield curve shifts, and macroeconomic indicators into systematic top-down asset allocation models.