Multi-Factor Investor

Based on the research paper by Pim van Vliet - Last Updated: 12/29/2022

Multi-Factor Investor Strategy Explanation Video

Since 2009, this portfolio has returned 372.0%, outperforming the market by 17.3% using its optimal quarterly rebalancing period and 10 stock portfolio size.

Multi-Factor
S&P 500
* Returns are model returns and do not reflect actual trading. Full performance disclaimer

This multi-factor model seeks low volatility stocks that also have strong momentum and high net payout yields.

Annual Return: 11.8% S&P 500: 11.5%
Year To Date: -7.8% S&P 500: -20.6%
Beta: 0.80 Accuracy: 63.9%
Full Return History

Portfolio Holdings


Ticker Date Added Return
BTI 3/4/2022 -3.07%
DOX 8/19/2022 -1.28%
AMGN 5/27/2022 2.41%
MRK 8/19/2022 20.63%
IMBBY 8/19/2022 8.72%
DG 11/11/2022 -1.66%
GD 11/11/2022 1.58%
K 11/11/2022 3.97%
SJM 11/11/2022 11.07%
MO 11/11/2022 3.31%

Latest Changes

Last Rebalancing: 11/11/2022  Next Rebalancing: 2/3/2023

Additions Deletions
DG KR
MO MCK
SJM NOC
K ORLY
GD SCI

Current Top Rated Stocks

The stocks that would be in this portfolio if it were rebalanced today.

Ticker Current
Score
MRK 100%
UOVEY 100%
DOX 100%
BTI 100%
AMGN 100%
GILD 100%
CHKP 100%
IMBBY 100%
ZURVY 100%
BAH 100%

Strategy Description Video

Podcast

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. The model portfolios offered on Validea are concentrated and as a result they will exhibit high levels of volatility and their performance can be substantially impacted by the performance of individual positions.

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.