Correlation Between GEELY AUTOMOBILE and Perseus Mining
Can any of the company-specific risk be diversified away by investing in both GEELY AUTOMOBILE and Perseus Mining 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 Perseus Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GEELY AUTOMOBILE and Perseus Mining Limited, you can compare the effects of market volatilities on GEELY AUTOMOBILE and Perseus Mining 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 Perseus Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of GEELY AUTOMOBILE and Perseus Mining.
Diversification Opportunities for GEELY AUTOMOBILE and Perseus Mining
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GEELY and Perseus is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding GEELY AUTOMOBILE and Perseus Mining Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perseus Mining 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 Perseus Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perseus Mining has no effect on the direction of GEELY AUTOMOBILE i.e., GEELY AUTOMOBILE and Perseus Mining go up and down completely randomly.
Pair Corralation between GEELY AUTOMOBILE and Perseus Mining
Assuming the 90 days trading horizon GEELY AUTOMOBILE is expected to generate 1.7 times less return on investment than Perseus Mining. In addition to that, GEELY AUTOMOBILE is 1.56 times more volatile than Perseus Mining Limited. It trades about 0.06 of its total potential returns per unit of risk. Perseus Mining Limited is currently generating about 0.17 per unit of volatility. If you would invest 151.00 in Perseus Mining Limited on December 29, 2024 and sell it today you would earn a total of 36.00 from holding Perseus Mining Limited or generate 23.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
GEELY AUTOMOBILE vs. Perseus Mining Limited
Performance |
Timeline |
GEELY AUTOMOBILE |
Perseus Mining |
GEELY AUTOMOBILE and Perseus Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GEELY AUTOMOBILE and Perseus Mining
The main advantage of trading using opposite GEELY AUTOMOBILE and Perseus Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GEELY AUTOMOBILE position performs unexpectedly, Perseus Mining 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 Perseus Mining will offset losses from the drop in Perseus Mining's long position.GEELY AUTOMOBILE vs. CENTURIA OFFICE REIT | GEELY AUTOMOBILE vs. CITY OFFICE REIT | GEELY AUTOMOBILE vs. PICKN PAY STORES | GEELY AUTOMOBILE vs. Fast Retailing Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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