Discovering, challenging and validating strategies
Quantitative Research
Corriford is developing a research process grounded in testable hypotheses, statistical models, and empirical evaluation.
Status: Strategic business initiative under development. Not an offer of investment services.
Overview
Investment methods are assessed in relation to data quality, reproducibility, research bias, robustness, and transaction costs.
Our objective is to establish disciplined challenge and validation procedures before strategies are considered for deployment.
Quantitative research uses statistical, mathematical and empirical testing methods to evaluate investment hypotheses. The process aims for reproducibility, separation of development and evaluation data, checks for model bias and evaluation of results after costs.
A hypothesis that performs well in testing is not the same as a strategy proven to be profitable in live trading.
What this capability examines
- Data quality: completeness, survivorship and look-ahead checks.
- Separation of development data from evaluation data.
- Robustness across periods, markets and parameter choices.
- Results measured after spreads, fees and slippage.
Working principles
- Write the hypothesis down before testing it.
- A second researcher must be able to reproduce the result.
- Independent challenge comes before any proposal to deploy.
Place in the operating model
Corriford
Quantitative ResearchCORRIFORD
Global Investment Intelligence. Institutional Discipline.
Important Disclosure
Corriford Investment Management is presented as a strategic business initiative under development. This material does not constitute an offer of securities, a solicitation of investment capital, or a representation that regulated investment management services are currently available.
Any future investment products or services will be subject to applicable licensing, investor eligibility, custody arrangements, disclosures, and regulatory requirements.
Investment involves risk, including possible loss of principal. No returns are guaranteed.