Correlation Between PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN
Can any of the company-specific risk be diversified away by investing in both PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN 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 PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PROSIEBENSAT1 MEDIADR4 and ULTRA CLEAN HLDGS, you can compare the effects of market volatilities on PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN 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 PROSIEBENSAT1 MEDIADR4/ with a short position of ULTRA CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN.
Diversification Opportunities for PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PROSIEBENSAT1 and ULTRA is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding PROSIEBENSAT1 MEDIADR4 and ULTRA CLEAN HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ULTRA CLEAN HLDGS and PROSIEBENSAT1 MEDIADR4/ 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 PROSIEBENSAT1 MEDIADR4 are associated (or correlated) with ULTRA CLEAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ULTRA CLEAN HLDGS has no effect on the direction of PROSIEBENSAT1 MEDIADR4/ i.e., PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN go up and down completely randomly.
Pair Corralation between PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN
Assuming the 90 days trading horizon PROSIEBENSAT1 MEDIADR4/ is expected to generate 8.74 times less return on investment than ULTRA CLEAN. In addition to that, PROSIEBENSAT1 MEDIADR4/ is 1.14 times more volatile than ULTRA CLEAN HLDGS. It trades about 0.0 of its total potential returns per unit of risk. ULTRA CLEAN HLDGS is currently generating about 0.05 per unit of volatility. If you would invest 2,640 in ULTRA CLEAN HLDGS on September 28, 2024 and sell it today you would earn a total of 840.00 from holding ULTRA CLEAN HLDGS or generate 31.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PROSIEBENSAT1 MEDIADR4 vs. ULTRA CLEAN HLDGS
Performance |
Timeline |
PROSIEBENSAT1 MEDIADR4/ |
ULTRA CLEAN HLDGS |
PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN
The main advantage of trading using opposite PROSIEBENSAT1 MEDIADR4/ and ULTRA CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PROSIEBENSAT1 MEDIADR4/ position performs unexpectedly, ULTRA CLEAN 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 ULTRA CLEAN will offset losses from the drop in ULTRA CLEAN's long position.PROSIEBENSAT1 MEDIADR4/ vs. Apple Inc | PROSIEBENSAT1 MEDIADR4/ vs. Apple Inc | PROSIEBENSAT1 MEDIADR4/ vs. Apple Inc | PROSIEBENSAT1 MEDIADR4/ vs. Apple Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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