Meta Platforms Correlations

Meta Platforms Correlation With Market

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Meta Platforms. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in manufacturing. For information on how to trade Meta Stock refer to our How to Trade Meta Stock guide.

Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations MU + 0.96 TSM GOOGL + 0.91 AVGO AMAT + 0.9 TSM MU + 0.88 GOOGL ORCL + 0.84 AVGO MU + 0.84 AMAT

High negative correlations MU - 0.76 DLB DLB - 0.68 TSM DLB - 0.64 GOOGL DLB - 0.63 AVGO AMAT - 0.61 DLB DLB - 0.52 ORCL

Risk-Adjusted Indicators

There is a big difference between Meta Stock performing well and Meta Platforms Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Meta Platforms' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.