
Mackenzie’s Global Quantitative Equity Team believes in a core style of investing that employs fundamental ideas through a disciplined, risk-aware investment approach in seeking to generate alpha within global markets. The team, led by 30-year quantitative industry veteran, Arup Datta, uses several of the same elements that a fundamental manager uses; however, his team utilizes a systematic process to analyze more factors and stocks than a traditional fundamental manager.
The team adheres to a core focus which aims to produce a more consistent alpha profile through and across multiple market environments. In addition, they believe that their daily stock analysis and proprietary transaction cost estimation along with a focus on capacity management, sets them apart from a number of their competitors. A quantitative lens, aided by computing power, sophisticated algorithms and adaptive models, provides the team with a measurable process to value securities across the broad investment universe.


Each stock is adjudicated against more than 20 factors broadly grouped into four “super factors” consisting of Value, Quality, Growth and Informed Investor. A balanced weight is assigned to these super factors at the portfolio level, while weights will vary by individual stock. Within Value, the team distinguishes between Quality Value (cash flow and dividend-based valuations) and Pure Value (earnings, book and gross profit-based valuations), including innovative ways of looking at valuations. The Quality factor balances management actions such as capital allocation, operating efficiency, ESG, employee sentiment and use of accounting practices; it also includes notions of management quality. The Growth factor refers to analyst revisions to forecasts (earnings, sales and dividends), long-term growth, innovation and insights from linked companies. The Informed Investor factor analyzes informed market participant activity, such as short interest and option pricing.
The team strongly believes that there is an advantage in daily portfolio rebalancing and trading. A quantitative approach allows the investment team to be nimble and incorporate daily changes in stock alpha forecasts for the entire investment universe, which allows the team to rapidly and efficiently trade in and out of stocks. This more frequent incorporation of new information helps generate the freshest alpha into the portfolio, but this is only possible with a strict focus on capacity management and efficient trading. The team has placed limits on the asset size of their strategies to maintain nimbleness for portfolio trades.
Another critical consideration when investing in emerging markets is relatively high trading costs when compared to developed markets. The same is also true in less efficient small-cap securities versus higher liquidity large-cap companies. In order to deliver alpha efficiently, the team has constructed a sophisticated transaction cost model which is used in conjunction with the alpha model as part of the investment process. The model helps the team quantify the trading impact of each security by measuring round-trip transaction costs (market impact, commissions and stamp duties). Trading volume and volatility are key drivers of the team’s market impact cost model.
We believe, through a disciplined risk-controlled investment process as employed by Mackenzie’s Global Quantitative Equity Team, that successful security selection in emerging markets can be achieved. We see similar opportunities for harvesting alpha by applying our discipline to more inefficient small-cap universes across emerging, international and US markets.
For institutional use only. This material is for marketing and informational purposes only and does not constitute investment advice or an offer of investment products or services (or an invitation to make such offer). Issued by Mackenzie Investments Corporation.