Correlation Between Commercial Vehicle and Griffon
Can any of the company-specific risk be diversified away by investing in both Commercial Vehicle and Griffon 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 Commercial Vehicle and Griffon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commercial Vehicle Group and Griffon, you can compare the effects of market volatilities on Commercial Vehicle and Griffon 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 Commercial Vehicle with a short position of Griffon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commercial Vehicle and Griffon.
Diversification Opportunities for Commercial Vehicle and Griffon
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Commercial and Griffon is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Commercial Vehicle Group and Griffon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Griffon and Commercial Vehicle 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 Commercial Vehicle Group are associated (or correlated) with Griffon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Griffon has no effect on the direction of Commercial Vehicle i.e., Commercial Vehicle and Griffon go up and down completely randomly.
Pair Corralation between Commercial Vehicle and Griffon
Given the investment horizon of 90 days Commercial Vehicle Group is expected to under-perform the Griffon. In addition to that, Commercial Vehicle is 1.9 times more volatile than Griffon. It trades about -0.24 of its total potential returns per unit of risk. Griffon is currently generating about 0.01 per unit of volatility. If you would invest 7,086 in Griffon on December 30, 2024 and sell it today you would lose (39.00) from holding Griffon or give up 0.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Commercial Vehicle Group vs. Griffon
Performance |
Timeline |
Commercial Vehicle |
Griffon |
Commercial Vehicle and Griffon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commercial Vehicle and Griffon
The main advantage of trading using opposite Commercial Vehicle and Griffon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commercial Vehicle position performs unexpectedly, Griffon 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 Griffon will offset losses from the drop in Griffon's long position.Commercial Vehicle vs. Motorcar Parts of | Commercial Vehicle vs. Monro Muffler Brake | Commercial Vehicle vs. Stoneridge | Commercial Vehicle vs. Superior Industries International |
Griffon vs. Steel Partners Holdings | Griffon vs. Brookfield Business Partners | Griffon vs. Tejon Ranch Co | Griffon vs. Compass Diversified Holdings |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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