Correlation Between Oakley Capital and SupplyMe Capital
Can any of the company-specific risk be diversified away by investing in both Oakley Capital and SupplyMe 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 Oakley Capital and SupplyMe Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oakley Capital Investments and SupplyMe Capital PLC, you can compare the effects of market volatilities on Oakley Capital and SupplyMe 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 Oakley Capital with a short position of SupplyMe Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oakley Capital and SupplyMe Capital.
Diversification Opportunities for Oakley Capital and SupplyMe Capital
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Oakley and SupplyMe is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Oakley Capital Investments and SupplyMe Capital PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SupplyMe Capital PLC and Oakley Capital 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 Oakley Capital Investments are associated (or correlated) with SupplyMe Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SupplyMe Capital PLC has no effect on the direction of Oakley Capital i.e., Oakley Capital and SupplyMe Capital go up and down completely randomly.
Pair Corralation between Oakley Capital and SupplyMe Capital
Assuming the 90 days trading horizon Oakley Capital Investments is expected to generate 0.06 times more return on investment than SupplyMe Capital. However, Oakley Capital Investments is 16.34 times less risky than SupplyMe Capital. It trades about -0.16 of its potential returns per unit of risk. SupplyMe Capital PLC is currently generating about -0.07 per unit of risk. If you would invest 51,567 in Oakley Capital Investments on September 4, 2024 and sell it today you would lose (3,567) from holding Oakley Capital Investments or give up 6.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oakley Capital Investments vs. SupplyMe Capital PLC
Performance |
Timeline |
Oakley Capital Inves |
SupplyMe Capital PLC |
Oakley Capital and SupplyMe Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oakley Capital and SupplyMe Capital
The main advantage of trading using opposite Oakley Capital and SupplyMe Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oakley Capital position performs unexpectedly, SupplyMe 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 SupplyMe Capital will offset losses from the drop in SupplyMe Capital's long position.Oakley Capital vs. SupplyMe Capital PLC | Oakley Capital vs. Lloyds Banking Group | Oakley Capital vs. Premier African Minerals | Oakley Capital vs. SANTANDER UK 8 |
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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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