Correlation Between Meta Platforms and Tesla

Can any of the company-specific risk be diversified away by investing in both Meta Platforms and Tesla at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Meta Platforms and Tesla into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Meta Platforms and Tesla Inc, you can compare the effects of market volatilities on Meta Platforms and Tesla and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Meta Platforms with a short position of Tesla. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and Tesla.

Diversification Opportunities for Meta Platforms and Tesla

0.44

Correlation Coefficient

Meta Platforms  Tesla

Very weak diversification

The 3 months correlation between Meta and Tesla is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and Tesla Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tesla Inc and Meta Platforms is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Meta Platforms are associated (or correlated) with Tesla. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tesla Inc has no effect on the direction of Meta Platforms i.e., Meta Platforms and Tesla go up and down completely randomly.

Pair Corralation between Meta Platforms and Tesla

Assuming the 90 days trading horizon Meta Platforms is expected to generate 0.47 times more return on investment than Tesla. However, Meta Platforms is 2.14 times less risky than Tesla. It trades about 0.0 of its potential returns per unit of risk. Tesla Inc is currently generating about -0.14 per unit of risk. If you would invest  56,770  in Meta Platforms on December 29, 2024 and sell it today you would lose (920.00) from holding Meta Platforms or give up 1.62% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Meta Platforms  vs.  Tesla Inc

Meta Platforms

Risk-Adjusted Performance

Very Weak

Over the last 90 days Meta Platforms has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Meta Platforms is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Tesla Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days Tesla Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite uncertain performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Pair Trading with Meta Platforms and Tesla

The main advantage of trading using opposite Meta Platforms and Tesla positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, Tesla can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Tesla will offset losses from the drop in Tesla's long position.

The idea behind Meta Platforms and Tesla Inc pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.