We are scientific researchers, first and foremost. Hence, scientific research serves as the foundation for all investment decisions we make.

We conduct advanced statistical analyses on data at the micro and macroeconomic levels before models are developed and conducted.

From our analyses, we develop and backtest complex econometric models through which we render financial, economic, and investment decisions.

Risk is inherent in all work we conduct. However, rather than simply mitigating risk, we leverage risk, risk that results in financial and economic gain.

Research Definition

Literature Reviews

Argument Development

Operationalization

Research Methodology

Validity & Reliability

Scientific Sampling

Data Collection

Knowledge Creation

Research Dissemination

Decision Modeling

Argument Development

Inferential Statistics

Statistical Effect

Practical Effect

Variance/Covariance

Causal Modeling

Vector Auto Regression

Time Series Forecasting

Monte Carlo Simulation

Mathematical Optimization

Structural Equation Modeling

Real Options Analysis

Neural Networks

Simulation Modeling

Stochastic Modeling

Advanced Algorithms

Financial Engineering

Statistical Analysis

Reliability Analysis

Decision Science

Uncertainty Analysis

Probability Modeling

Sensitivity Analysis

Financial Modeling

Economic Modeling

Economic Forecasting

Investment Analysis

Revenue Forecasting

Equity Forecasting

Computational Economics

Time Series Modeling

Monte Carol Simulation

Price Modeling & Sensitivity

Tax & Tariff Forecasting

Feasibility Analysis

Economic Impact Analysis

Cost-Benefit Analysis

Mean Reversion Modeling

Momentum Modeling

Drift Modeling

Volatility Analysis

Variance Analysis

Beta Modeling

Causal Analysis

Probability Theory

Sharpe Analysis

Sorento Analysis

Treynor Analysis

Probabilistic Indexing

Monte Carlo Simulation

Parametric Value at Risk

Risk Optimization