The SSIF Investment Process is designed to capitalize on the opportunities in the market in which a company’s price does not reflect its true fundamental value. In addition, specific features of the Investment Process manage tracking error – the risk of the strategy relative to its mid-cap core benchmark. The Investment Process can be thought of in three distinct stages: Planning; Portfolio Construction; and Implementation and Feedback.
The process defines the eligible universe of available investments based on maintaining consistency with the mid-cap core mandate and the S&P 400 benchmark. Any stock within the S&P 400 Midcap Index is eligible for the portfolio. Up to 10% of the portfolio may be held in stocks outside the S&P 400 as long as the stocks are in the 10th to 90th capitalization percentile of the S&P 400 and are not constituents of the S&P 500 (large cap) or S&P 600 (small cap) indexes.
To facilitate focused fundamental research, stocks are allocated to sector teams based on the Global Industrial Classification sector membership. Sector teams include: Consumer Discretionary and Staples; Energy and Utilities; Financial Services; Healthcare; Industrials; Information-Technology; and Materials.
The portfolio is constructed using a hybrid approach of fundamental research and quantitative optimization. The goal of the fundamental research is to give the portfolio the opportunity to outperform the benchmark by identifying stocks with growth potential. The quantitative aspect of the process aims to manage the risk of the portfolio relative to the benchmark.
Each sector team is responsible for selecting stocks within its sector for inclusion in the portfolio. Based on in-depth fundamental research, selected stocks represent those stocks with the most growth potential in order to contribute to the portfolio’s outperformance of the benchmark over time in the team’s view.
Using the stocks selected by the sector teams, each stock’s specific target weight is set by a quantitative optimization process. The process uses historical returns as an input to estimate the risk of the portfolio relative to the benchmark. Within target parameters, such as maintaining the portfolio to be sector-neutral, the optimization’s objective is to minimize the tracking error of the portfolio against the benchmark index.
The SSIF seeks to implement the portfolio as efficiently as possible. SSIF students monitor the portfolio on an ongoing basis, even during periods when classes are not in session, and make timely reports on the performance of the portfolio. As sector teams evaluate new information and decide to buy or sell names, the portfolio is rebalanced in a disciplined manner. During rebalancing, trades may be made in stocks whose portfolio weight is significantly under- or over-weighted relative to its target weight or when necessary to maintain sector neutrality. In all cases, the implementation is designed to consider whether the expected benefits outweigh the direct and indirect costs of trading.