Correlation Between Griffon and OCBCSP
Specify exactly 2 symbols:
By analyzing existing cross correlation between Griffon and OCBCSP 1832 10 SEP 30, you can compare the effects of market volatilities on Griffon and OCBCSP 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 Griffon with a short position of OCBCSP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Griffon and OCBCSP.
Diversification Opportunities for Griffon and OCBCSP
Very weak diversification
The 3 months correlation between Griffon and OCBCSP is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Griffon and OCBCSP 1832 10 SEP 30 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OCBCSP 1832 10 and Griffon 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 Griffon are associated (or correlated) with OCBCSP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OCBCSP 1832 10 has no effect on the direction of Griffon i.e., Griffon and OCBCSP go up and down completely randomly.
Pair Corralation between Griffon and OCBCSP
Considering the 90-day investment horizon Griffon is expected to generate 0.34 times more return on investment than OCBCSP. However, Griffon is 2.98 times less risky than OCBCSP. It trades about -0.44 of its potential returns per unit of risk. OCBCSP 1832 10 SEP 30 is currently generating about -0.71 per unit of risk. If you would invest 8,282 in Griffon on October 4, 2024 and sell it today you would lose (1,108) from holding Griffon or give up 13.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 9.09% |
Values | Daily Returns |
Griffon vs. OCBCSP 1832 10 SEP 30
Performance |
Timeline |
Griffon |
OCBCSP 1832 10 |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Griffon and OCBCSP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Griffon and OCBCSP
The main advantage of trading using opposite Griffon and OCBCSP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Griffon position performs unexpectedly, OCBCSP 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 OCBCSP will offset losses from the drop in OCBCSP's long position.Griffon vs. Steel Partners Holdings | Griffon vs. Brookfield Business Partners | Griffon vs. Tejon Ranch Co | Griffon vs. Compass Diversified Holdings |
OCBCSP vs. Jabil Circuit | OCBCSP vs. flyExclusive, | OCBCSP vs. Everspin Technologies | OCBCSP vs. TFI International |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |