Research

Systematic questions. Empirical answers.

01 / 04

Our research examines signals, models, and portfolio frameworks through reproducible analysis and disciplined validation.

Research approach

From hypothesis to evidence.

Alpha X Quant approaches quantitative research as a sequence of testable decisions: define the question, establish the data, specify the model, challenge the result, and evaluate the portfolio implications.

Alpha Discovery

We investigate predictive signals from financial and alternative datasets, with attention to economic intuition, data quality, timing, and implementability.

E[rₜ₊₁ | xₜ]

Signal definition and data lineage
Out-of-sample evaluation
Stability across regimes and universes

Factor Research

We construct and test factors using transparent portfolio definitions, robust statistical diagnostics, and careful comparison against established explanations.

rᵢₜ = αᵢ + βᵢfₜ + εᵢₜ

Factor construction and neutralization
Cross-sectional and time-series tests
Turnover, crowding, and decay analysis

Portfolio Research

We study how forecasts become systematic portfolios through optimization, constraints, transaction-cost awareness, and explicit risk analysis.

min wᵀΣw s.t. Aw = b

Forecast combination and sizing
Portfolio constraints and optimization
Exposure, concentration, and scenario analysis

Machine Learning in Finance

We explore machine learning and natural language processing as research tools for extracting structure from financial datasets while guarding against leakage and overfitting.

x → fθ(x) → ŷ

Feature learning and nonlinear models
Financial text and language signals
Validation under non-stationarity

Scope

Research, not a promise of outcomes.

Research findings are conditional on data, assumptions, and methodology. Alpha X Quant does not publish or imply guaranteed returns, and the information on this site is not investment advice.

Discuss a research question