Correlation Between KGHM Polska and SEI INVESTMENTS
Can any of the company-specific risk be diversified away by investing in both KGHM Polska and SEI INVESTMENTS 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 KGHM Polska and SEI INVESTMENTS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KGHM Polska Miedz and SEI INVESTMENTS, you can compare the effects of market volatilities on KGHM Polska and SEI INVESTMENTS 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 KGHM Polska with a short position of SEI INVESTMENTS. Check out your portfolio center. Please also check ongoing floating volatility patterns of KGHM Polska and SEI INVESTMENTS.
Diversification Opportunities for KGHM Polska and SEI INVESTMENTS
-0.93 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between KGHM and SEI is -0.93. Overlapping area represents the amount of risk that can be diversified away by holding KGHM Polska Miedz and SEI INVESTMENTS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEI INVESTMENTS and KGHM Polska 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 KGHM Polska Miedz are associated (or correlated) with SEI INVESTMENTS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEI INVESTMENTS has no effect on the direction of KGHM Polska i.e., KGHM Polska and SEI INVESTMENTS go up and down completely randomly.
Pair Corralation between KGHM Polska and SEI INVESTMENTS
Assuming the 90 days trading horizon KGHM Polska is expected to generate 3.14 times less return on investment than SEI INVESTMENTS. In addition to that, KGHM Polska is 2.73 times more volatile than SEI INVESTMENTS. It trades about 0.01 of its total potential returns per unit of risk. SEI INVESTMENTS is currently generating about 0.09 per unit of volatility. If you would invest 5,486 in SEI INVESTMENTS on October 4, 2024 and sell it today you would earn a total of 2,514 from holding SEI INVESTMENTS or generate 45.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KGHM Polska Miedz vs. SEI INVESTMENTS
Performance |
Timeline |
KGHM Polska Miedz |
SEI INVESTMENTS |
KGHM Polska and SEI INVESTMENTS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KGHM Polska and SEI INVESTMENTS
The main advantage of trading using opposite KGHM Polska and SEI INVESTMENTS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KGHM Polska position performs unexpectedly, SEI INVESTMENTS 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 SEI INVESTMENTS will offset losses from the drop in SEI INVESTMENTS's long position.KGHM Polska vs. Cogent Communications Holdings | KGHM Polska vs. INTERSHOP Communications Aktiengesellschaft | KGHM Polska vs. WillScot Mobile Mini | KGHM Polska vs. Highlight Communications AG |
SEI INVESTMENTS vs. Apple Inc | SEI INVESTMENTS vs. Apple Inc | SEI INVESTMENTS vs. Apple Inc | SEI INVESTMENTS 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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