STRUCTURE OF THE FUND
At the start of the academic year, student analysts are recruited and allocated to the fund's two divisions, Equities and Macro Strategy and Systematic Trading (MSST). In each division throughout semester one, weekly teaching sessions are held and led by the sector leaders, where the fund's own curated curriculum and materials are taught to the analysts.
Through our in-depth teaching programs, NCL Capital Partners is training the next generation of leaders in the financial industry. Our main objectives are:
Develop students’ knowledge of finance across all asset classes with a focus on equity valuation and research, portfolio construction and quantitative analytics.
Provide a platform for students to explore their interests in the industry and network with professionals at top tier institutions.
Allow students to gain real world experience and a competitive advantage in their career by producing tangible evidence of their financial analysis.
Once all the materials in each division has been covered, the analysts practice their stock pitching skills at the start of semester two and finalise their reports and pieces of research before the annual event.
The Equities division of the fund consists of 4 GICS sectors; Technology Media Telecommunications, Industrials, Consumers and Oil and Gas.
The analysts are allocated to each sector based on preferences and taken through a 7 week training program in semester one covering the following materials.
Basic accounting understanding
Reading and analysing financial statements
Building and completing valuation models
Comparable company analysis
Discounted Cash Flow (DCF)
At the start of the year, the Equities analysts decide on a UK, European or US public company to analyse and throughout the teaching sessions, begin to construct valuation models for the company to ultimately derive an investment recommendation. Once the models have been completed, the analysts write a CFA standard equity research report on their findings in regards to the company.
OIL & GAS
The Macro Strategy and Systematic Trading division was founded upon the principle of exposing students to quantitative computational research methods used in Finance and Data science. Structured primarily as a research group, teaching is performed combining the lecture format with collaborative project work.
The first 4 weeks entail lectures providing the student with a grounding in Python, the rest of the year is spent building a pythonic analysis platform. This year the group are working to combine technical analysis from market data with semantic analysis methods using the Financial Times datamining database.