Correlation Between WIMFARM SA and SCOR SE

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

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

Diversification Opportunities for WIMFARM SA and SCOR SE

0.25

Correlation Coefficient

WIMFARM SA  SCOR SE

Modest diversification

The 3 months correlation between WIMFARM and SCOR is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding WIMFARM SA EO and SCOR SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOR SE and WIMFARM SA 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 WIMFARM SA EO are associated (or correlated) with SCOR SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOR SE has no effect on the direction of WIMFARM SA i.e., WIMFARM SA and SCOR SE go up and down completely randomly.

Pair Corralation between WIMFARM SA and SCOR SE

Assuming the 90 days horizon WIMFARM SA EO is expected to generate 3.62 times more return on investment than SCOR SE. However, WIMFARM SA is 3.62 times more volatile than SCOR SE. It trades about 0.09 of its potential returns per unit of risk. SCOR SE is currently generating about 0.19 per unit of risk. If you would invest  315.00  in WIMFARM SA EO on December 20, 2024 and sell it today you would earn a total of  78.00  from holding WIMFARM SA EO or generate 24.76% return on investment over 90 days.

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

WIMFARM SA EO  vs.  SCOR SE

WIMFARM SA EO

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in WIMFARM SA EO are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, WIMFARM SA reported solid returns over the last few months and may actually be approaching a breakup point.

SCOR SE

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR SE are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, SCOR SE reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with WIMFARM SA and SCOR SE

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

The idea behind WIMFARM SA EO and SCOR SE 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.