Researchers found that stocks with certain characteristics or factors, being value stocks and small cap companies, earned a higher risk adjusted return than what was expected based on their betas. This is where factors started to come into play in fama an french's original three factor pricing model. Instead of just looking at the sensitivity to market risk or bata as driving higher returns over tme, they included a size factor and relative price factor as two additional, independent risk factors. They found that after including these two risks in addition to market risk, they were then able to explain about 90 % of the differences in returns between diversified portfolios.
IN THIS EPISODE, YOU’LL LEARN:
02:38 - What are the factors?
05:11 - The history behind where factors came from.
08:19 - Why exposure to factors leads to higher expected returns over the long run.
18:00 - How to get exposure to factors in your portfolio.
And much, much more!
*Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences.
BOOKS AND RESOURCES
Join the exclusive TIP Mastermind Community to engage in meaningful stock investing discussions with Kyle and the other community members.
Help us reach new listeners by leaving us arating and reviewon Apple Podcasts! It takes less than 30 seconds and really helps our show grow, which allows us to bring on even better guests for you all! Thank you – we really appreciate it!