A student-led fund and equity research initiative.
The Investor Circle is an independent body under the Finance & Investment Cell. It engages students with real investment decisions and produces professional-grade financial research across two cycles aligned with the academic calendar.
- Structure
- Independent body under F&IC
- Cohort Size
- 7–9 members (Year 1)
- Cycles
- Investment · Research
- Duration
- Two semesters
- Coverage
- 9 industry verticals
A structured environment for real investment work.
The Investor Circle operates independently of the verticals within the Finance & Investment Cell, reporting directly to the Society's Director of Development. It is built around a cohort model: each academic year introduces the possibility of a new cohort trained and guided separately from the incumbent team.
The year is divided into two operating cycles. The first, running August to November, is oriented toward active fund management and investment. The second, running January to April, is oriented toward equity research and financial publication. Each cycle has a defined training phase followed by an execution phase.
In its inaugural year, the Investor Circle comprises a single cohort of seven to nine members — the foundational team upon which future iterations will be built.
Investment operations.
Train the cohort in investment methodology, then deploy a fund by the end of the semester.
Training in Financial Methodology
Two months of technical training in the analytical frameworks standard to investment management — aimed at working competence, not surface familiarity.
Industry Analysis & Company Profiling
Each member is assigned one of nine coverage industries, identifies the five most investable companies, and filters to a shortlist of three through fundamental research.
Modelling, Decision & Deployment
Detailed financial modelling on the shortlisted companies. The cohort deliberates and the fund is deployed based on collective findings.
The analytical toolkit.
Members are expected to apply each framework independently by the end of the training phase.
DuPont Analysis
Decomposition of return on equity into net profit margin, asset turnover and financial leverage.
DCF Modelling
Projection of free cash flows and application of an appropriate discount rate to derive intrinsic value.
Relative Valuation & Comps
Benchmarking against sector peers using EV/EBITDA, P/E and EV/Revenue multiples.
Precedent Transactions
Valuation based on historical acquisition data within the relevant sector.
WACC
Computation of a firm's cost of capital across debt and equity components.
LBO Analysis
Modelling returns on a leveraged acquisition across exit scenarios.
Scenario & Sensitivity
Stress-testing models under varying macroeconomic and company-specific assumptions.
FCFF & FCFE
Free cash flow to firm and free cash flow to equity modelling.
Porter's Five Forces
Qualitative framework for assessing competitive intensity within an industry.
Nine industries. One analyst each.
Each member conducts primary research within an assigned sector — five investable companies, filtered to three, then modelled in full.
Artificial Intelligence
Semiconductors
Pharmaceuticals
Automobiles
Commodities
Infrastructure
Transportation
Defence
Energy
Research and publication.
Contingent on the first cycle, a second cohort is introduced. The senior team mentors while the junior team is trained — both publish equity research under the Investor Circle banner.
Training in Equity Research
The junior cohort undergoes structured instruction in equity research while the senior cohort mentors — covering positioning, revenue segmentation, macro analysis, valuation and risk.
Publication
Both cohorts produce equity research reports for external publication under the Investor Circle banner — senior reports carry greater technical depth.
The equity research curriculum.
Company Overview & Positioning
Market share, competitive advantages and strategic direction within an industry.
Revenue Segmentation
Breakdown of revenue streams by product, geography and customer type.
Industry & Macro Analysis
Top-down analysis of regulatory conditions, demand drivers and cyclicality.
Financial Statement Analysis
Interpretation of income statements, balance sheets and cash flow statements.
Valuation
DCF and relative valuation methods applied within the context of a published report.
Risk Analysis
Sharpe, Sortino, VaR, Maximum Drawdown, Beta, Alpha, Treynor — quantitative risk-adjusted return measures.
Bringing professional finance into the academy.
For enquiries about the Investor Circle, cohort intake or partnerships, get in touch with the Finance & Investment Cell.
Contact the Cell