Correlation Between BW Offshore and Premier Foods
Can any of the company-specific risk be diversified away by investing in both BW Offshore and Premier Foods 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 BW Offshore and Premier Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BW Offshore and Premier Foods PLC, you can compare the effects of market volatilities on BW Offshore and Premier Foods 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 BW Offshore with a short position of Premier Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of BW Offshore and Premier Foods.
Diversification Opportunities for BW Offshore and Premier Foods
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between 0RKH and Premier is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding BW Offshore and Premier Foods PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premier Foods PLC and BW Offshore 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 BW Offshore are associated (or correlated) with Premier Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premier Foods PLC has no effect on the direction of BW Offshore i.e., BW Offshore and Premier Foods go up and down completely randomly.
Pair Corralation between BW Offshore and Premier Foods
Assuming the 90 days trading horizon BW Offshore is expected to generate 1.64 times more return on investment than Premier Foods. However, BW Offshore is 1.64 times more volatile than Premier Foods PLC. It trades about 0.29 of its potential returns per unit of risk. Premier Foods PLC is currently generating about -0.2 per unit of risk. If you would invest 2,775 in BW Offshore on October 22, 2024 and sell it today you would earn a total of 300.00 from holding BW Offshore or generate 10.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.74% |
Values | Daily Returns |
BW Offshore vs. Premier Foods PLC
Performance |
Timeline |
BW Offshore |
Premier Foods PLC |
BW Offshore and Premier Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BW Offshore and Premier Foods
The main advantage of trading using opposite BW Offshore and Premier Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BW Offshore position performs unexpectedly, Premier Foods 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 Premier Foods will offset losses from the drop in Premier Foods' long position.BW Offshore vs. Home Depot | BW Offshore vs. Ebro Foods | BW Offshore vs. Cairn Homes PLC | BW Offshore vs. Jupiter Fund Management |
Premier Foods vs. Eneraqua Technologies PLC | Premier Foods vs. SMA Solar Technology | Premier Foods vs. Allianz Technology Trust | Premier Foods vs. Litigation Capital Management |
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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