TFA

The Finance Association

Quant Research Track

The Quant Research Track is at the heart of TFA. It operates on the basis of a set of clearly defined methodological principles designed to produce credible and reproducible results. The Quant Research Track is managed by a team of experienced researchers who are responsible for designing and implementing research projects.

Approach & Philosophy

The Quant Research Track is the core activity of TFA. Teams work in small groups across full research cycles, producing a documented research paper reviewed internally before any external communication. Results are presented in a public showcase at the end of the cycle.

How we work

  • Small teams, full-cycle ownership: data, modeling, implementation, writing.
  • Each cycle results in a documented research paper aligned with professional standards.
  • Internal peer-review before any external presentation or publication.
  • End-of-cycle showcase with members, mentors, and (where relevant) industry professionals.

Fundamental philosophy

The objective of the Quant Research Track is not rapid trading or the maximisation of short-term returns.

The aim is to build a structured, reproducible and credible process — a framework in which every analytical decision is documented, every assumption is explicit, and every result is subject to critical scrutiny.

This prepares members for industry, where process quality consistently takes precedence over the appeal of isolated results.

Research Pipeline

TFA’s research pipeline follows a structured eight-step framework designed to ensure rigor, reproducibility, and methodological credibility.

Idea

Formulate a testable investment hypothesis

Data

Define methodology and data sources

Backtest

Validate the strategy on historical data

Robustness

Submit to rigorous stress testing

Each stage of the pipeline addresses a specific requirement in the construction of a credible deliverable:

01

Idea & Hypothesis

Formulation of an investable hypothesis grounded in explicit economic rationale. The idea must be testable and refutable.

02

Data & Methodology

Selection of data sources, cleaning, structuring, and definition of the methodological framework. Documentation of choices and justifications.

03

Backtest & Validation

Implementation and testing on historical data. Analysis with attention to potential biases (look-ahead, survivorship, overfitting).

04

Robustness & Stress Testing

Assessment of stability across market conditions, parameter settings, and time periods. Identification of points of fragility.

05

Paper Writing

Formal documentation of context, methodology, results, risks, and limitations in a structured research format.

06

Internal Review

Peer-review within the association to verify methodological consistency, documentation quality, and transparency of assumptions.

07

Showcase

Public presentation of results before members, mentors, and industry professionals. Analytical choices must be defended and discussed.

08

Optional Monitoring

Post-publication tracking under controlled educational conditions to study implementation constraints and signal degradation.

Research & Publications

Discover the latest research papers, trading strategies, and financial insights from our talented members. New publications are added weekly.