Forecast Horizon
Next 10 Trading Days
Training Window
126 Trading Days
Validation
Rolling Window Backtesting
Model Framework
Time-Varying Stochastic Model
About
A research-focused foundation for quantitative model development.
Aurora Future Quantitative Research LLC is a research-focused company dedicated to the development and evaluation of quantitative financial models. The company combines applied mathematics, stochastic processes, statistical modeling, and computational methods to study market behavior and support future quantitative solutions.
Research Areas
Mathematics, statistics, and computation applied to financial systems.
Quantitative Financial Modeling
Stochastic Processes
Statistical Inference
Market Dynamics and Memory
Model Calibration and Validation
Machine Learning Applications
Frameworks for studying changing market dynamics and statistical dependence.
The company is developing quantitative modeling frameworks designed to study changing market dynamics, statistical dependence, and financial time-series behavior. Current work includes mathematical formulation, algorithm development, historical-data testing, parameter estimation, and model validation.
Proprietary formulas and source code are not disclosed.
Research workflow
01
Mathematical formulation
02
Algorithm development
03
Historical-data testing
04
Parameter estimation and validation
Mathematical and Statistical Modeling
Quantitative Research
Financial Data Analysis
Model Development and Backtesting
Research Documentation
Technical Collaboration
Commercial applications and services are planned following further research, validation, and business development.
Peipei Wang holds a Ph.D. in Applied Mathematics with a statistics focus. Her research interests include stochastic processes, quantitative finance, statistical modeling, financial time series, and computational methods.
Research inquiries and technical collaboration
Seattle, Washington
Email: gloriapeipeiwang@outlook.com
Contact by Email