Correlation Between Schnapp and MetLife

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

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

Diversification Opportunities for Schnapp and MetLife

0.61

Correlation Coefficient

Schnapp  MetLife

Poor diversification

The 3 months correlation between Schnapp and MetLife is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Schnapp and MetLife in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MetLife and Schnapp 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 Schnapp 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 Schnapp i.e., Schnapp and MetLife go up and down completely randomly.

Pair Corralation between Schnapp and MetLife

Assuming the 90 days trading horizon Schnapp is expected to generate 2.27 times more return on investment than MetLife. However, Schnapp is 2.27 times more volatile than MetLife. It trades about 0.04 of its potential returns per unit of risk. MetLife is currently generating about -0.01 per unit of risk. If you would invest  121,765  in Schnapp on February 5, 2024 and sell it today you would earn a total of  2,635  from holding Schnapp or generate 2.16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	74.42%
Values	Daily Returns

Schnapp  vs.  MetLife

Schnapp

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Schnapp are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Schnapp sustained solid returns over the last few months and may actually be approaching a breakup point.

MetLife

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in MetLife are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady technical and fundamental indicators, MetLife may actually be approaching a critical reversion point that can send shares even higher in June 2024.

Pair Trading with Schnapp and MetLife

The main advantage of trading using opposite Schnapp and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Schnapp 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 Schnapp 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.

Check out your portfolio center.

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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.