Correlation Between Primo Brands and Oxbridge
Can any of the company-specific risk be diversified away by investing in both Primo Brands and Oxbridge 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 Primo Brands and Oxbridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Primo Brands and Oxbridge Re Holdings, you can compare the effects of market volatilities on Primo Brands and Oxbridge 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 Primo Brands with a short position of Oxbridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Primo Brands and Oxbridge.
Diversification Opportunities for Primo Brands and Oxbridge
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Primo and Oxbridge is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Primo Brands and Oxbridge Re Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxbridge Re Holdings and Primo 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 Primo Brands are associated (or correlated) with Oxbridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxbridge Re Holdings has no effect on the direction of Primo Brands i.e., Primo Brands and Oxbridge go up and down completely randomly.
Pair Corralation between Primo Brands and Oxbridge
Given the investment horizon of 90 days Primo Brands is expected to generate 1.81 times less return on investment than Oxbridge. But when comparing it to its historical volatility, Primo Brands is 3.59 times less risky than Oxbridge. It trades about 0.19 of its potential returns per unit of risk. Oxbridge Re Holdings is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 363.00 in Oxbridge Re Holdings on November 3, 2024 and sell it today you would earn a total of 64.00 from holding Oxbridge Re Holdings or generate 17.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Primo Brands vs. Oxbridge Re Holdings
Performance |
| Timeline |
| Primo Brands |
| Oxbridge Re Holdings |
Primo Brands and Oxbridge Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Primo Brands and Oxbridge
The main advantage of trading using opposite Primo Brands and Oxbridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Primo Brands position performs unexpectedly, Oxbridge 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 Oxbridge will offset losses from the drop in Oxbridge's long position.| Primo Brands vs. Corsair Gaming | Primo Brands vs. Old Dominion Freight | Primo Brands vs. EvoAir Holdings | Primo Brands vs. flyExclusive, |
| Oxbridge vs. Muenchener Rueckver Ges | Oxbridge vs. Greenlight Capital Re | Oxbridge vs. Maiden Holdings | Oxbridge vs. Swiss Re |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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