Dashan Huang is an Assistant Professor of Finance at the Lee Kong Chian School of Business at Singapore Management University. His paper "Twin Momentum" looked at combining traditional price momentum with improving fundamentals to generate market outperformance. In the paper, he identified seven fundamental variables (earnings, return on equity, return on assets, accrual operating profitability to equity, cash operating profitability to assets, gross profit to assets and net payout ratio) that he combined into a single fundamental momentum measure. He showed that stocks in the top 20% of the universe according to that measure outperformed the market going forward. When he combined that measure with price momentum, he was able to double its outperformance.
*Note: Our guru strategies are based on our interpretation of the published strategies of the gurus we follow. They are not personally endorsed by the gurus. Full Disclaimer
Since 2008, this portfolio has returned 871.3%, outperforming the market by 575.6% using its optimal monthly rebalancing period and 10 stock portfolio size.
Validea used the investment strategy outlined in the paper Twin Momentum written by Dashan Huang to create our Twin Momentum Investor portfolio.
This strategy looks for stocks with strong fundamental and price momentum. Fundamental momentum is determined using a combination of seven variables: earnings, return on equity, return on assets, accrual operating profitability to equity, cash operating profitability to assets, gross profit to assets and net payout ratio. Price momentum is determined using the most recent twelve month period excluding the latest month. When these two types of momentum were combined together, Huang found that the result was significant outperformance over the market.
Dashan Huang Strategy Description Video
Performance Disclaimer: Returns presented on Validea.com are model returns and do not represent actual trading. As a result, they do not incorporate any commissions or other trading costs or fees. Model portfolios with inception dates on or after 12/30/2005 include a combination of back tested and live model returns. The back-tested performance results shown are hypothetical and are not the result of real-time management of actual accounts. The back-testing of performance differs from actual account performance because the investment strategy may be adjusted at any time, for any reason and can continue to be changed until desired or better performance results are achieved. Back-tested returns are presented to provide general information regarding how the underlying strategy behind the portfolio performed in our historical testing. A back-tested strategy has the benefit of hindsight and the results do not reflect the impact that material economic or market factors may have had on advisor's decision-making if actual client assets were being managed using this approach.
Optimal portfolios presented on Validea.com represent the rebalancing period that has led to the best historical performance for each of our equity models. Each optimal portfolio was determined after the fact with performance information that was not available at portfolio inception. As a result, an investor could not have invested in the
optimal portfolio since its inception. Optimal portfolios are presented to allow investors to quickly determine the portfolio size and rebalancing period that has performed best for each of our models in our historical testing.
Both the model portfolio and benchmark returns presented for all equity portfolios on Validea.com are not inclusive of dividends. Returns for our ETF portfolios and trend following system, and the benchmarks they are compared to, are inclusive of dividends. The S&P 500 is presented as a benchmark because it is the most widely followed benchmark of the overall US market and is most often used by investors for return comparison purposes. As with any investment strategy, there is potential for profit as well as the possibility of loss and investors may incur a loss despite a past history of gains. Past performance does not guarantee future results. Results will vary with economic and market conditions.