Quanta Student Capital

Student-led quantitative research into financial markets.

Student-led quantitative research into portfolio construction, risk and financial markets.

We are a student-run research group that applies mathematics, statistics and programming to questions in investing. Each month we publish an independent, transparent piece of analysis — showing our data, our methodology and our code — on topics ranging from diversification and correlation to systematic strategy design.

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Reports Published

Monthly

Publication Cadence

Asset Classes Covered

Focus Areas

What We Research

Three recurring themes run through our published work.

Portfolio Construction

How weighting, allocation and rebalancing decisions shape the risk and return profile of a portfolio — from mean-variance foundations to practical construction rules.

Risk & Diversification

What correlation, covariance and volatility actually tell us about diversification benefits — and why more holdings does not automatically mean less risk.

Systematic Strategies

Rules-based approaches to investing — momentum, factor exposure and regime-dependent behaviour — tested with reproducible, data-driven methods.

Latest Research

Our newest publication

Portfolio Construction / Risk Research #01 Published September 2026

How Much Does Diversification Actually Reduce Portfolio Risk?

An empirical investigation into correlation, covariance and cross-asset portfolio construction.

We build three portfolios from six exchange-traded funds spanning equities, government bonds, gold and emerging markets, and decompose each portfolio's volatility using its full covariance matrix. The report compares a concentrated equity position with progressively more diversified allocations to test what actually drives a reduction in portfolio risk: the number of holdings, or the correlation structure between them.

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Our Process

How a report gets published

Every piece of research follows the same transparent process, from an open question to a public write-up.

Question

We start with a precise, testable question in quantitative finance.

Data

We source market data for the relevant assets and time period.

Quantitative Analysis

We build the statistical and mathematical models needed to answer it.

Findings

We interpret the results honestly, including their limitations.

Publication

We publish the full write-up, methodology and figures openly.