Correlation Between BP Plc and Brockhaus Capital
Can any of the company-specific risk be diversified away by investing in both BP Plc and Brockhaus Capital 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 BP Plc and Brockhaus Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BP plc and Brockhaus Capital Management, you can compare the effects of market volatilities on BP Plc and Brockhaus Capital 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 BP Plc with a short position of Brockhaus Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of BP Plc and Brockhaus Capital.
Diversification Opportunities for BP Plc and Brockhaus Capital
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BSU and Brockhaus is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding BP plc and Brockhaus Capital Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brockhaus Capital and BP Plc 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 BP plc are associated (or correlated) with Brockhaus Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brockhaus Capital has no effect on the direction of BP Plc i.e., BP Plc and Brockhaus Capital go up and down completely randomly.
Pair Corralation between BP Plc and Brockhaus Capital
Assuming the 90 days horizon BP plc is expected to generate 0.6 times more return on investment than Brockhaus Capital. However, BP plc is 1.65 times less risky than Brockhaus Capital. It trades about 0.34 of its potential returns per unit of risk. Brockhaus Capital Management is currently generating about 0.08 per unit of risk. If you would invest 2,700 in BP plc on October 9, 2024 and sell it today you would earn a total of 280.00 from holding BP plc or generate 10.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BP plc vs. Brockhaus Capital Management
Performance |
Timeline |
BP plc |
Brockhaus Capital |
BP Plc and Brockhaus Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BP Plc and Brockhaus Capital
The main advantage of trading using opposite BP Plc and Brockhaus Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BP Plc position performs unexpectedly, Brockhaus Capital 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 Brockhaus Capital will offset losses from the drop in Brockhaus Capital's long position.The idea behind BP plc and Brockhaus Capital Management pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Brockhaus Capital vs. Austevoll Seafood ASA | Brockhaus Capital vs. GWILLI FOOD | Brockhaus Capital vs. TYSON FOODS A | Brockhaus Capital vs. PREMIER FOODS |
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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