He is responsible for the model and research and draws on seven managers/analysts. Frederick Konopka also became a manager in 2008 and handles portfolio construction and trading for the team. MDT looks to group companies into different baskets producing various streams of alpha potential using valuation, growth, momentum, and quality indicators.
By using classification and regression tree analysis, the team can test thousands of potential combinations of factors based on 30-plus years of U.S. stock data to find the best mixtures of alpha using a three-month investment horizon. Still, such a short investment horizon can be difficult to implement. It leads to annual portfolio turnover that can be lofty and varies greatly. Over the past five years, turnover ranged from 188% to 227%, well above the 59%-66% range for the typical small-growth. The portfolio’s holdings have varied from 150 to 250, suggesting some opportunities may be too illiquid and costly to pursue unless they’re spread out across more holdings.
Since Mahr became lead manager in August 2008, the Institutional shares’ 11.9% annualized return through April 2021 lagged the small growth category’s 12.2% gain and the Russell 2000 Growth Index’s 12.2% rise. The fund has performed better since the team’s 2013 process switch to multiple decision trees, but the fund’s high volatility has kept its risk-adjusted results in line with the index.
Quantitative approach with short focus
MDT groups companies into different baskets of alpha potential. The team forecasts three month returns using valuation factors based on structural earnings, tangible book value, and forward earnings estimates; growth factors like analyst conviction and long-term earnings growth; quality factors measuring free cash flow, leverage, and reliance on external capital; and momentum factors like relative stock price trend. The team uses classification and regression tree analysis to test thousands of potential combinations based on 30-plus years of U.S. stock data.
Prior to 2013, the team used one large decision tree to forecast alpha, but that approach was subject to overfitting issues. Switching to regression analysis using multiple decision trees resulted in combinations of subsets of the factors with the best alpha potential. This leads to the fund holding stocks with different avenues to produce alpha, potentially leading to more opportunities to outperform. The MDT team continues to refine its model, usually updating the model twice a year. These revisions are typically on the margin, though. In 2020, for example, they adjusted their structural earnings indicator by using an industry relative basis.
Diversified, but high turnover
The strategy’s short-term approach has led to higher turnover than most smallgrowth peers. Its annual portfolio turnover range of 118%-227% the past five years is much higher than the median range of 59%-66%. The fund might struggle to maintain its fast-trading ways if assets hit the team’s $8 billion-$10 billion estimate of its small-cap capacity, which includes this strategy, Federated MDT Small Cap Core QISCX, and Federated MDT Small Cap Value. So far, the team is not near that limit, with around $2 billion across its small-cap charges. However, the portfolio’s number of holdings has varied from 150 to 250, suggesting some opportunities may be too illiquid and costly to pursue unless their potential alpha is spread out across more holdings. This could become more pronounced as the asset base grows
Performance – Volatile
The fund’s absolute and risk-adjusted returns lag the Russell 2000 Growth Index during lead manager Dan Mahr’s tenure. Since Mahr took over in August 2008, the Institutional shares’ 11.9% annualized return through April 2021 trailed the small-growth category’s 12.2% gain and the Russell 2000 Growth Index’s 12.2% rise. It has done so with more volatility than the benchmark, resulting in subpar riskadjusted performance measures, like the Sharpe ratio. Most of the fund’s underperformance has come during market turbulence. Mahr’s Aug. 31, 2008,start date means he took over amid the credit crisis, and the fund barely edged the benchmark through that period’s March 9, 2009, bottom. The fund lagged the bogy’s ensuing trough-to-peak (April 23, 2010) performance by 26.6 percentage points, annualized.
(Source: Morning star)
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