Of the thousands of mutual fund managers in operation today, there are countless opinions on quantitative versus fundamental analysis. Many managers use a combination of the two. Let’s dig into both disciplines and touch on the strengths and weaknesses of each.
Leveraging technology to analyze significant amounts of data, a quantitative or “quant” approach often uses mathematical and statistical modeling to analyze and/or rank various investments. This can be especially useful for smaller teams that do not otherwise possess the necessary resources to analyze an entire peer group of investments. Similarly, a quant approach can make sense if traveling for due diligence purposes is overly challenging. For example, a U.S.-based firm that invests in international/emerging market small cap stocks may rely on quant analysis in place of meetings with management.
Ranking investments is where a quant approach can shine. Many managers often incorporate factors related to quality (ie. Return on equity (ROE)), momentum (ie. Relative strength) and value (ie. P/E ratio) into their ranking models. A model can easily be customized to weight each factor differently, and results can be monitored daily to reflect changes in the market.
This approach focuses on a company’s financials as well as macro and microeconomic factors, often to predict the future direction of a company’s stock price. Fundamentally-oriented analysts also aspire to uncover a meaningful disconnect between their estimate of the intrinsic value of a company versus the consensus estimate. This type of approach is also known as bottom-up investing.
Quant rankings can help save time when generating investment ideas, essentially getting an analyst “into the right ballpark.” Quant tools can also help identify improving/deteriorating trends within sectors, industries or companies and essentially play devil’s advocate against a popular opinion. Fundamental analysis can then add value by carefully looking at the business model, management team, competitive landscape and future earnings/cash flow potential.
These two methodologies can also complement each other when determining when to sell a position. A quant system can quickly flag other stocks that may represent stronger relative values, or point to relative weakness in a sector or industry. Fundamental factors leading to a sale could include turnover within a management team, an unfavorable acquisition or a change in business model.