Research · Modelling · Analysis · Impact
Alpha Stochastic Research (ASR) is an independent quantitative finance laboratory dedicated to rigorous, transparent, and reproducible work across financial markets, mathematics, statistics, stochastic modelling, scientific computing, and artificial intelligence.
ASR brings together research, implementation, validation, and technical communication within a common scientific framework. Our work connects quantitative theory with auditable computational research and practical financial modelling.
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Mathematical and empirical investigation of problems in quantitative finance. |
Stochastic, statistical, numerical, optimization, and machine-learning methods. |
Versioned code, documented methodology, validation, and traceable research outputs. |
| Quantitative Finance | Mathematical & Computational Methods |
|---|---|
| Derivatives pricing & hedging | Stochastic processes & probability |
| Interest-rate & volatility modelling | Numerical methods & Monte Carlo |
| Portfolio construction & risk | Statistics & financial econometrics |
| Systematic research & backtesting | Optimization & machine learning |
| Market and model validation | Scientific computing & reproducibility |
ASR publishes working papers, research software, technical documentation, and reproducibility materials through institutional and open-science channels.
| Research | Area | Record |
|---|---|---|
| Joint Learning of Local-Stochastic Volatility Calibration: A Projection-Constrained Neural Operator Approach | Derivatives · LSV · Neural Operators | SSRN 7240319 |
| ASRQuant: From Scientific Literature to Auditable Quantitative Decisions and Algorithmic Trading | Research Infrastructure · Quantitative Computing | SSRN 7217798 |
| From Forecast-Centric to Trading-Aware: A Risk-Constrained Decision Layer for Agentic Financial Time-Series Workflows | Time Series · Risk · Agentic Systems | SSRN 7217521 |
| Non-Asymptotic Stability and Turnover of Risk-Parity Allocations: ERC Smoothness and Hierarchical Boundary Effects | Portfolio Risk · ERC · Hierarchical Allocation | SSRN 7187538 |
| Bachelier’s Theory of Speculation Revisited: A Reproducible Reconstruction of the Origins of Quantitative Finance | Financial Mathematics · Reproducibility | SSRN 7089998 |
- GitHub — source code, research repositories, tests, notebooks, and technical documentation.
- Zenodo — persistent archival records, research outputs, and software releases with DOIs.
- ASR Publications — institutional research record connecting projects, contributors, and reproducibility resources.
- SSRN — dissemination of selected working papers and quantitative research.
Browse ASR Publications → · Trainee Program → · Explore Research Repositories → · Open Zenodo Community →
Every ASR research project is expected to prioritize:
Mathematical rigour · Reproducibility · Transparency · Validation · Scientific integrity
Where applicable, research repositories include versioned implementations, tests, reproducible notebooks, methodology documentation, citation metadata, assumptions, limitations, and archival references.
ASR also develops structured training, reading sessions, technical meetings, and collaborative research workflows designed to help participants progress from quantitative foundations to reproducible research contributions.
Contributions to public repositories should follow the governance and contribution requirements defined by the relevant project.
| Website | asr-lab.online |
| Publications | ASR Research Record |
| GitHub | Alpha-Stochastic-Research |
| Zenodo | ASR Community |
| Alpha Stochastic Research | |
| Research contact | research@asr-lab.online |
Alpha Stochastic Research
Independent Quantitative Finance Research Laboratory
Research · Modelling · Analysis · Impact
Research and educational content is not financial advice.