Beta is a metric, a measurement of one return stream as it relates to a relative benchmark.

Beta is not “exposure to a market.”
Beta is not “correlation to a market.”
Beta is not a measure of “volatility.”

If one takes a return series and performs a linear regression against a relative benchmark for that return series, with the benchmark as the independent variable, one finds a regression line defined as slope times benchmark plus intercept plus error term. The slope is the beta; the intercept is the alpha.

If the benchmark used is the dividend-adjusted S&P 500 return, we can easily ascertain some facts about beta, through review of backtested system results.

* Trading systems that never use U.S. stocks can have beta very close to 1.00.
* This doesn’t mean the systems’ correlation to the SPY is high; the error term could be large.
* In the case of a system with a large error term, volatility is likely much higher than that of the SPY, even though beta is close to 1.00.

* Trading systems that exclusively use U.S. stocks can have beta that is rather low (like 0.585 on monthly periods and -0.046 on annual periods), even though they are 100% exposed to the U.S. market, 100% of the time.
* Such systems might have correlation coefficients “R” that are rather low (like 0.416 on monthly periods and -0.024 on annual periods), even though they are 100% exposed to the U.S. market, 100% of the time.
* Volatility for such systems may be extremely high on a monthly basis, even though beta is low.

Please … help stop the abuse. If you want to discuss an allocation to an asset class like U.S. stocks, or the use of a known factor model leading to outperformance in stocks, or the volatility of a portfolio, please, please, PLEASE just use the correct terminology, and leave my poor buddy beta alone.