Matthew Clinger wrote:
Well, I use Google Finance charts for that information. If you care to correct it, go ahead. My portfolios had dividends, too. But, not seeing dividends on the DJIA chart, I wasn't about to add them in as adding dividends to one side and not the other would be unfair.
You can't just decide to include of not include dividends based on what is convenient to you. AA, AXP, BA, and BAC, the first 4 DJIA components in alphabetical order, pay dividends as I'm sure others do. You've got to do the work to account for those properly if you want your analysis to have any meaning.
Matthew Clinger wrote:
And, according to "What Works on Wall Street", portfolios that are based on value investing using multi-factor models tend to have lower betas. (examples found on pages 320, 333, and 337.)
See below
Matthew Clinger wrote:
Now, perhaps you are talking about individual stocks, but a portfolio's beta can clearly be quite different than looking at them individually.
A portfolio's beta is basically a weighted average of the individuals if there is no correlation. Your portfolios are highly correlated because they include a lot of companies in the same industry. So you'll need to manually compute your portfolio variances.
Matthew Clinger wrote:
Have you ever considered using something like the sharpe ratio or the sortino ratio when considering how risky an investment is? From 1964 to 2009, the sharpe ratio for all those stocks under consideration in the book (those worth $200 mil+ in 2009 dollars) was .33 and the sortino ratio .09 (higher is better for these numbers). During the same period, the sharpe ratio was .30 and the sortino ratio -.05 for the S&P 500. Compared to these, the first composite of value factors in the book had a sharpe ratio of .67 and a sortino ratio of .53, suggesting that it was far safer than either of these two options.
Sharpe ratio is good. But you'll need to compute it for YOUR portfolio to have any credibility. Just parroting what a book claims is not enough.
Matthew Clinger wrote:
Most people are so caught up in thinking "risk = reward" that they can't see this in untrue. Value investing has higher returns and lower risks. The data in the book covers more than 40 years of data, so it isn't just some anomaly from a single year that somehow created a fluke. The rate of return was higher for the composited value factors and the standard deviation was less at the same time. Realizing that such things are what affect the above two ratios (which some use to gauge how safe something is), it should come as no surprise that the result of greater profits and lower deviation on that profit creates higher sharp and sortino ratios.
Look into something called the "Security Market Line" in the CAPM. You might learn something including why your portfolio probably will do better in an uptrending market and worse in a downtrend. You'll also learn that it's more like reward= C*risk+Rrf