Over 3 million new accounts were opened at Robinhood in the first quarter of this year – a resurgence in individual stock picking in the heart of the COVID-19 shutdown few could have anticipated. The renewed interest in individual stocks is in opposition to a trend of just a year or so ago, where the rise of passive investing, robo advisors and the challenges of trying to beat the market put a damper on investors buying individual stocks. But not everyone had given up hope on the fading stock picker.
Valuing a company typically involves looking at its price and judging that price relative to its current and projected future fundamentals. But what happens when something breaks this process? What happens when companies are no longer valued based on their fundamentals? What happens when factors outside of those specific to each company become dominant over the facts regarding their businesses?
Valuing a company (or the market in general) typically involves looking at its price and judging that price relative to its current and projected future fundamentals. But some have argued that this process has become broken in the most recent decade and other factors have become more important than actual results. In this episode, we talk about some of these factors, how they have impacted the market, and what they might mean for the future.
Buying expensive stocks has historically been a terrible investing strategy. On average, expensive stocks significantly underperform the market as a whole over time. But despite the poor performance of the group, the absolute best performing individual stocks typically come from within this universe. The difficult part is trying to identify them in advance. In this episode, we look at a quantitative growth strategy developed by Partha Mohanram, a professor at the University of Toronto, and how it seeks to find diamonds in the rough among growth stocks.
Validea is an incredible valuable tool to have. I depend on it for much of my research to help weed out stocks for my portfolio designs. The filters used for stock selection are easy to use and comes with a detailed analysis
as to the why each particular stock either passes or fails the test. The articles & blogs are a great wealth of knowledge too.
As a retail investor, I particularly value Validea’s top-notch research capability. With the deluge of investment commentary available via innumerable blogs, articles, FinTwits, white papers, podcasts, etc., the Validea team is one of my go-to sources to maintain some perspective
on what's really happening.
I am always checking my investment/trading ideas with Validea. I feel better knowing that any of the guru models they are following might also be on my side!
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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.