Correlation Between SupplyMe Capital and MG Credit
Can any of the company-specific risk be diversified away by investing in both SupplyMe Capital and MG Credit 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 SupplyMe Capital and MG Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SupplyMe Capital PLC and MG Credit Income, you can compare the effects of market volatilities on SupplyMe Capital and MG Credit 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 SupplyMe Capital with a short position of MG Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of SupplyMe Capital and MG Credit.
Diversification Opportunities for SupplyMe Capital and MG Credit
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between SupplyMe and MGCI is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding SupplyMe Capital PLC and MG Credit Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MG Credit Income and SupplyMe 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 SupplyMe Capital PLC are associated (or correlated) with MG Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MG Credit Income has no effect on the direction of SupplyMe Capital i.e., SupplyMe Capital and MG Credit go up and down completely randomly.
Pair Corralation between SupplyMe Capital and MG Credit
Assuming the 90 days trading horizon SupplyMe Capital PLC is expected to generate 23.37 times more return on investment than MG Credit. However, SupplyMe Capital is 23.37 times more volatile than MG Credit Income. It trades about 0.07 of its potential returns per unit of risk. MG Credit Income is currently generating about 0.02 per unit of risk. If you would invest 0.40 in SupplyMe Capital PLC on December 23, 2024 and sell it today you would lose (0.05) from holding SupplyMe Capital PLC or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SupplyMe Capital PLC vs. MG Credit Income
Performance |
Timeline |
SupplyMe Capital PLC |
MG Credit Income |
SupplyMe Capital and MG Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SupplyMe Capital and MG Credit
The main advantage of trading using opposite SupplyMe Capital and MG Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SupplyMe Capital position performs unexpectedly, MG Credit 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 MG Credit will offset losses from the drop in MG Credit's long position.SupplyMe Capital vs. Solstad Offshore ASA | SupplyMe Capital vs. Primorus Investments plc | SupplyMe Capital vs. Fevertree Drinks Plc | SupplyMe Capital vs. Lowland Investment Co |
MG Credit vs. Impax Environmental Markets | MG Credit vs. FinecoBank SpA | MG Credit vs. Liechtensteinische Landesbank AG | MG Credit vs. Tata Steel Limited |
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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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