Correlation Between KGHM Polska and Summit Hotel
Can any of the company-specific risk be diversified away by investing in both KGHM Polska and Summit Hotel 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 Summit Hotel 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 Summit Hotel Properties, you can compare the effects of market volatilities on KGHM Polska and Summit Hotel 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 Summit Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of KGHM Polska and Summit Hotel.
Diversification Opportunities for KGHM Polska and Summit Hotel
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KGHM and Summit is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding KGHM Polska Miedz and Summit Hotel Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Summit Hotel Properties 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 Summit Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Summit Hotel Properties has no effect on the direction of KGHM Polska i.e., KGHM Polska and Summit Hotel go up and down completely randomly.
Pair Corralation between KGHM Polska and Summit Hotel
Assuming the 90 days trading horizon KGHM Polska Miedz is expected to generate 1.03 times more return on investment than Summit Hotel. However, KGHM Polska is 1.03 times more volatile than Summit Hotel Properties. It trades about 0.03 of its potential returns per unit of risk. Summit Hotel Properties is currently generating about 0.0 per unit of risk. If you would invest 2,586 in KGHM Polska Miedz on April 20, 2025 and sell it today you would earn a total of 530.00 from holding KGHM Polska Miedz or generate 20.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KGHM Polska Miedz vs. Summit Hotel Properties
Performance |
Timeline |
KGHM Polska Miedz |
Summit Hotel Properties |
KGHM Polska and Summit Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KGHM Polska and Summit Hotel
The main advantage of trading using opposite KGHM Polska and Summit Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KGHM Polska position performs unexpectedly, Summit Hotel 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 Summit Hotel will offset losses from the drop in Summit Hotel's long position.KGHM Polska vs. KENEDIX OFFICE INV | KGHM Polska vs. GLG LIFE TECH | KGHM Polska vs. AAC TECHNOLOGHLDGADR | KGHM Polska vs. Cogent Communications Holdings |
Summit Hotel vs. Host Hotels Resorts | Summit Hotel vs. Sunstone Hotel Investors | Summit Hotel vs. Xenia Hotels Resorts | Summit Hotel vs. Service Properties Trust |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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