Beta, CAPM Limitations, and Long-Horizon Risk Measurement

# How reliable is beta as a measure of risk when investing lwith a long horizon


# How reliable is beta as a measure of risk when investing lwith a long horizon












Beta is the correlation of a company's stock price to that of the overall market. As such it gives insight in how volatile a stock's price has been in reltation to the market, thus, how risky the investment is likely to be. Beta is used in the CAPM to estimate a company's cost of capital, hence determining its market valuation.

The value of a stock is therefore based on the assumption that beta is a reliable measure of risk, in the long term.

The question I have is, how reliable is beta for long term risk? Hence, should it be used to measure the value of a company?

## Answer by Matthew Gunn (score 2, accepted)

https://quant.stackexchange.com/a/30461

Though still widely taught, the unfortunate truth is that the CAPM is largely an empirical failure at predicting stock returns. It's still widely used in corporate finance and investment banks for reasons I don't fully understand. How did we get here?

- In the 70s, the CAPM gained immense popularity because the logic was beautifully simple and empirically, stocks with higher betas appeared to have higher average returns.

- In the 80s and 90s though, this patten essentially reversed, stocks with lower betas had higher average returns! (Search for Fama-French papers on the CAPM if interested.)

Academic, empirical asset pricing has since moved on from the CAPM to broader factor models such as the Fama-French 3 Factor model, Carhart 4 Factor model , or the Fama-French 5 Factor model. In the current literature, key factors that appear to have forecasting power:

- Value

- Momentum

- Operating profitability (some notion of quality)

All these factor models follow the classic academic paradigm of writing expected returns as a linear function of covariance with some set of factors.

Another line of empirical asset pricing takes a more behavioral approach, writing expected returns as a function of firm characteristics rather than covariance with risk factors. While there's a huge conceptual difference between the two, in practice, the two aren't as different as you might think. High book value to market value stocks all tend to do well or do poorly at similar times and it isn't that different whether: (i) returns are higher for stocks that covary with a portfolio of high book to market ratios (i.e. it's about covariance) or (ii) returns are higher for stocks with high book to market ratios (i.e. it's about firm characteristics).

This doesn't mean beta is entirely useless though! It still remains true that stocks tend to move together. Companies with higher betas are more sensitive to market swings.

#### Points of caution:

- Estimated betas of individual companies aren't very reliable. Estimated betas of portfolios of companies are much more reliable.

- CAPM cost of capital calculations based upon a company's estimated beta are probably trash, but telling your boss (or your corporate finance professor) that might not go over well.