Correlation Between Driven Brands and O I
Can any of the company-specific risk be diversified away by investing in both Driven Brands and O I 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 Driven Brands and O I into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Driven Brands Holdings and O I Glass, you can compare the effects of market volatilities on Driven Brands and O I 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 Driven Brands with a short position of O I. Check out your portfolio center. Please also check ongoing floating volatility patterns of Driven Brands and O I.
Diversification Opportunities for Driven Brands and O I
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Driven and O I is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Driven Brands Holdings and O I Glass in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on O I Glass and Driven Brands 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 Driven Brands Holdings are associated (or correlated) with O I. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of O I Glass has no effect on the direction of Driven Brands i.e., Driven Brands and O I go up and down completely randomly.
Pair Corralation between Driven Brands and O I
Given the investment horizon of 90 days Driven Brands Holdings is expected to generate 0.65 times more return on investment than O I. However, Driven Brands Holdings is 1.53 times less risky than O I. It trades about 0.38 of its potential returns per unit of risk. O I Glass is currently generating about 0.04 per unit of risk. If you would invest 1,410 in Driven Brands Holdings on August 30, 2024 and sell it today you would earn a total of 276.00 from holding Driven Brands Holdings or generate 19.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Driven Brands Holdings vs. O I Glass
Performance |
Timeline |
Driven Brands Holdings |
O I Glass |
Driven Brands and O I Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Driven Brands and O I
The main advantage of trading using opposite Driven Brands and O I positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Driven Brands position performs unexpectedly, O I 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 O I will offset losses from the drop in O I's long position.Driven Brands vs. CarGurus | Driven Brands vs. KAR Auction Services | Driven Brands vs. Kingsway Financial Services | Driven Brands vs. Group 1 Automotive |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |