Investors sometimes want to pigeonhole investing factors. We want to look at a factor and associate a certain type of company with it. Doing so makes us more comfortable with the factor and makes us believe we have a better feel for the types of stocks we will get if we invest using it.
No, this isn’t an article about pro wrestling, Ric Flair and his sidekicks. Rather, it’s an introductory piece on the different ratios used to assess whether or not a stock is trading at a value relative to its history, its peer group or the overall market. We often talk about valuation ratios in our articles and we assume that readers understand them, but sometimes that assumption isn’t a fair one.
Many investors think all value strategies are fairly similar to each other. And as a result they expect the value funds they invest in will all perform similarly over time.
But the reality is that the behind the scenes details that go into building a value strategy can play a major role in how it performs and lead to major deviations in performance among value funds.
In this episode, we take a look at one way that value strategies can differ - the metric they use to define value. We look at the major value metrics and the pros and cons of each of them.
We also look at the construction of value composites and why their benefit might come from a different source than the one you think.
There have been hundreds of books written about Warren Buffett and Berkshire Hathaway. So it rare for a book come out that does something that none of the others have. But a new book coming out in April does exactly that by offering the first full chronological history of Berkshire Hathaway, from the period prior to Buffett all the way to the current day. In this episode, we talk to Adam Mead, the author of The Complete Financial History of Berkshire Hathaway: A Chronological Analysis of Warren Buffett and Charlie Munger's Conglomerate Masterpiece.
We discuss the origin story that brought Buffett together with Berkshire, Buffett's best and worst investments, his best investment you probably haven't heard about, the key traits that led to Buffett's success, and what it is like to attend the Berkshire annual meeting.
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.
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.