Alpha and beta are two different parts of an equation used to explain the performance of stocks and investment funds. Beta is a measure of volatility relative to a benchmark, such as the S&P 500 ...

Alpha and beta are two terms that get thrown around a lot in investing. They sound complicated, but they’re actually much simpler than they seem. Here’s what you need to know about alpha and ...

In an era where data-driven decisions dominate financial markets, predictive AI is transforming the landscape of trading strategies. This technology not only adds alpha—excess returns above a ...

Alpha and beta are two statistical measurements used in modern portfolio theory (MPT) to help investors determine the risk-return profile of an investment. Both are measures of past performance ...

Predictive AI leverages advanced algorithms and data analysis techniques to forecast market movements. By analyzing historical data, market trends, and various economic indicators, these AI models can ...

'Alpha’ tells investors how a security has historically performed vs. a benchmark while ‘beta’ shows volatility over time vs. the market. Learn more about their differences and uses.

Alpha measures an investment's return relative to a benchmark, while beta measures risk. Find out how these two metrics can help you pick investments that match your risk/return profile.