Correlation Between SCOR SE and Everest Group

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

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

Diversification Opportunities for SCOR SE and Everest Group

0.35

Correlation Coefficient

SCOR SE  Everest Group

Weak diversification

The 3 months correlation between SCOR and Everest is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding SCOR SE and Everest Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Everest Group and SCOR SE 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 SCOR SE are associated (or correlated) with Everest Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Everest Group has no effect on the direction of SCOR SE i.e., SCOR SE and Everest Group go up and down completely randomly.

Pair Corralation between SCOR SE and Everest Group

Assuming the 90 days trading horizon SCOR SE is expected to generate 1.79 times more return on investment than Everest Group. However, SCOR SE is 1.79 times more volatile than Everest Group. It trades about -0.09 of its potential returns per unit of risk. Everest Group is currently generating about -0.58 per unit of risk. If you would invest  2,380  in SCOR SE on September 24, 2024 and sell it today you would lose (70.00) from holding SCOR SE or give up 2.94% of portfolio value over 90 days.

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

SCOR SE  vs.  Everest Group

SCOR SE

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR SE are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, SCOR SE reported solid returns over the last few months and may actually be approaching a breakup point.

Everest Group

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with SCOR SE and Everest Group

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

The idea behind SCOR SE and Everest Group 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.