Correlation Between BONAS IMPORT and Rompetrol Rafi
Can any of the company-specific risk be diversified away by investing in both BONAS IMPORT and Rompetrol Rafi 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 BONAS IMPORT and Rompetrol Rafi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BONAS IMPORT EXPORT and Rompetrol Rafi, you can compare the effects of market volatilities on BONAS IMPORT and Rompetrol Rafi 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 BONAS IMPORT with a short position of Rompetrol Rafi. Check out your portfolio center. Please also check ongoing floating volatility patterns of BONAS IMPORT and Rompetrol Rafi.
Diversification Opportunities for BONAS IMPORT and Rompetrol Rafi
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BONAS and Rompetrol is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding BONAS IMPORT EXPORT and Rompetrol Rafi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rompetrol Rafi and BONAS IMPORT 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 BONAS IMPORT EXPORT are associated (or correlated) with Rompetrol Rafi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rompetrol Rafi has no effect on the direction of BONAS IMPORT i.e., BONAS IMPORT and Rompetrol Rafi go up and down completely randomly.
Pair Corralation between BONAS IMPORT and Rompetrol Rafi
Assuming the 90 days trading horizon BONAS IMPORT EXPORT is expected to under-perform the Rompetrol Rafi. In addition to that, BONAS IMPORT is 1.41 times more volatile than Rompetrol Rafi. It trades about -0.11 of its total potential returns per unit of risk. Rompetrol Rafi is currently generating about -0.05 per unit of volatility. If you would invest 8.30 in Rompetrol Rafi on September 26, 2024 and sell it today you would lose (1.55) from holding Rompetrol Rafi or give up 18.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 68.5% |
Values | Daily Returns |
BONAS IMPORT EXPORT vs. Rompetrol Rafi
Performance |
Timeline |
BONAS IMPORT EXPORT |
Rompetrol Rafi |
BONAS IMPORT and Rompetrol Rafi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BONAS IMPORT and Rompetrol Rafi
The main advantage of trading using opposite BONAS IMPORT and Rompetrol Rafi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BONAS IMPORT position performs unexpectedly, Rompetrol Rafi 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 Rompetrol Rafi will offset losses from the drop in Rompetrol Rafi's long position.BONAS IMPORT vs. Iproeb SA | BONAS IMPORT vs. Electromagnetica SA | BONAS IMPORT vs. Remarul 16 Februarie | BONAS IMPORT vs. Fondul Deschis De |
Rompetrol Rafi vs. Iproeb SA | Rompetrol Rafi vs. Electromagnetica SA | Rompetrol Rafi vs. Remarul 16 Februarie | Rompetrol Rafi vs. Fondul Deschis De |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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