Correlation Between Salesforce and MetLife

Can any of the company-specific risk be diversified away by investing in both Salesforce and MetLife 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 Salesforce and MetLife into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Salesforce and MetLife, you can compare the effects of market volatilities on Salesforce and MetLife 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 Salesforce with a short position of MetLife. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and MetLife.

Diversification Opportunities for Salesforce and MetLife

0.42

Correlation Coefficient

Salesforce  MetLife

Very weak diversification

The 3 months correlation between Salesforce and MetLife is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and Salesforce 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 Salesforce are associated (or correlated) with MetLife. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MetLife has no effect on the direction of Salesforce i.e., Salesforce and MetLife go up and down completely randomly.

Pair Corralation between Salesforce and MetLife

Considering the 90-day investment horizon Salesforce is expected to under-perform the MetLife. In addition to that, Salesforce is 1.17 times more volatile than MetLife. It trades about -0.18 of its total potential returns per unit of risk. MetLife is currently generating about -0.01 per unit of volatility. If you would invest  8,099  in MetLife on December 30, 2024 and sell it today you would lose (176.00) from holding MetLife or give up 2.17% of portfolio value over 90 days.

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

Salesforce  vs.  MetLife

Salesforce

Risk-Adjusted Performance

Very Weak

Over the last 90 days Salesforce has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unfluctuating performance in the last few months, the Stock's basic indicators remain very healthy which may send shares a bit higher in April 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

MetLife

Risk-Adjusted Performance

Very Weak

Over the last 90 days MetLife has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, MetLife is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Salesforce and MetLife

The main advantage of trading using opposite Salesforce and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.

The idea behind Salesforce and MetLife 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.