Correlation Between GEELY AUTOMOBILE and SIEM OFFSHORE
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and SIEM OFFSHORE 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 GEELY AUTOMOBILE and SIEM OFFSHORE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and SIEM OFFSHORE NEW, you can compare the effects of market volatilities on GEELY AUTOMOBILE and SIEM OFFSHORE 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 GEELY AUTOMOBILE with a short position of SIEM OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and SIEM OFFSHORE.
Diversification Opportunities for GEELY AUTOMOBILE and SIEM OFFSHORE
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GEELY and SIEM is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and SIEM OFFSHORE NEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIEM OFFSHORE NEW and GEELY AUTOMOBILE 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 GEELY AUTOMOBILE are associated (or correlated) with SIEM OFFSHORE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIEM OFFSHORE NEW has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and SIEM OFFSHORE go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and SIEM OFFSHORE
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 1.56 times more return on investment than SIEM OFFSHORE. However, GEELY AUTOMOBILE is 1.56 times more volatile than SIEM OFFSHORE NEW. It trades about 0.22 of its potential returns per unit of risk. SIEM OFFSHORE NEW is currently generating about 0.03 per unit of risk. If you would invest 102.00 in GEELY AUTOMOBILE on September 3, 2024 and sell it today you would earn a total of 66.00 from holding GEELY AUTOMOBILE or generate 64.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. SIEM OFFSHORE NEW
Performance |
Timeline |
GEELY AUTOMOBILE |
SIEM OFFSHORE NEW |
GEELY AUTOMOBILE and SIEM OFFSHORE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and SIEM OFFSHORE
The main advantage of trading using opposite GEELY AUTOMOBILE and SIEM OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, SIEM OFFSHORE 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 SIEM OFFSHORE will offset losses from the drop in SIEM OFFSHORE's long position.GEELY AUTOMOBILE vs. TOTAL GABON | GEELY AUTOMOBILE vs. Walgreens Boots Alliance | GEELY AUTOMOBILE vs. Peak Resources Limited |
SIEM OFFSHORE vs. Corsair Gaming | SIEM OFFSHORE vs. Air New Zealand | SIEM OFFSHORE vs. SYSTEMAIR AB | SIEM OFFSHORE vs. ALTAIR RES 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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