Correlation Between MetLife and BZAM

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

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

Diversification Opportunities for MetLife and BZAM

0.0

Correlation Coefficient

MetLife  BZAM

Pay attention - limited upside

The 3 months correlation between MetLife and BZAM is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding MetLife and BZAM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BZAM and MetLife 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 MetLife are associated (or correlated) with BZAM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BZAM has no effect on the direction of MetLife i.e., MetLife and BZAM go up and down completely randomly.

Pair Corralation between MetLife and BZAM

If you would invest  8,222  in MetLife on December 25, 2024 and sell it today you would earn a total of  196.00  from holding MetLife or generate 2.38% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

MetLife  vs.  BZAM

MetLife

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in MetLife are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. 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.

BZAM

Risk-Adjusted Performance

Very Weak

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

Pair Trading with MetLife and BZAM

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

The idea behind MetLife and BZAM 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.