Correlation Between CD Projekt and Square Enix
Can any of the company-specific risk be diversified away by investing in both CD Projekt and Square Enix 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 CD Projekt and Square Enix into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CD Projekt SA and Square Enix Holdings, you can compare the effects of market volatilities on CD Projekt and Square Enix 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 CD Projekt with a short position of Square Enix. Check out your portfolio center. Please also check ongoing floating volatility patterns of CD Projekt and Square Enix.
Diversification Opportunities for CD Projekt and Square Enix
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between OTGLY and Square is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding CD Projekt SA and Square Enix Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Square Enix Holdings and CD Projekt 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 CD Projekt SA are associated (or correlated) with Square Enix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Square Enix Holdings has no effect on the direction of CD Projekt i.e., CD Projekt and Square Enix go up and down completely randomly.
Pair Corralation between CD Projekt and Square Enix
Assuming the 90 days horizon CD Projekt SA is expected to under-perform the Square Enix. But the pink sheet apears to be less risky and, when comparing its historical volatility, CD Projekt SA is 1.42 times less risky than Square Enix. The pink sheet trades about -0.06 of its potential returns per unit of risk. The Square Enix Holdings is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,848 in Square Enix Holdings on September 3, 2024 and sell it today you would earn a total of 152.00 from holding Square Enix Holdings or generate 8.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
CD Projekt SA vs. Square Enix Holdings
Performance |
Timeline |
CD Projekt SA |
Square Enix Holdings |
CD Projekt and Square Enix Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CD Projekt and Square Enix
The main advantage of trading using opposite CD Projekt and Square Enix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CD Projekt position performs unexpectedly, Square Enix 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 Square Enix will offset losses from the drop in Square Enix's long position.CD Projekt vs. Square Enix Holdings | CD Projekt vs. Capcom Co | CD Projekt vs. Sega Sammy Holdings | CD Projekt vs. Square Enix Holdings |
Square Enix vs. Sega Sammy Holdings | Square Enix vs. Capcom Co Ltd | Square Enix vs. Capcom Co | Square Enix vs. CD Projekt SA |
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.
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