Correlation Between MG Credit and Ikigai Ventures
Can any of the company-specific risk be diversified away by investing in both MG Credit and Ikigai Ventures 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 MG Credit and Ikigai Ventures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MG Credit Income and Ikigai Ventures, you can compare the effects of market volatilities on MG Credit and Ikigai Ventures 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 MG Credit with a short position of Ikigai Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of MG Credit and Ikigai Ventures.
Diversification Opportunities for MG Credit and Ikigai Ventures
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MGCI and Ikigai is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding MG Credit Income and Ikigai Ventures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ikigai Ventures and MG Credit 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 MG Credit Income are associated (or correlated) with Ikigai Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ikigai Ventures has no effect on the direction of MG Credit i.e., MG Credit and Ikigai Ventures go up and down completely randomly.
Pair Corralation between MG Credit and Ikigai Ventures
Assuming the 90 days trading horizon MG Credit Income is expected to generate 0.76 times more return on investment than Ikigai Ventures. However, MG Credit Income is 1.31 times less risky than Ikigai Ventures. It trades about 0.02 of its potential returns per unit of risk. Ikigai Ventures is currently generating about -0.13 per unit of risk. If you would invest 9,395 in MG Credit Income on December 23, 2024 and sell it today you would earn a total of 105.00 from holding MG Credit Income or generate 1.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MG Credit Income vs. Ikigai Ventures
Performance |
Timeline |
MG Credit Income |
Ikigai Ventures |
MG Credit and Ikigai Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MG Credit and Ikigai Ventures
The main advantage of trading using opposite MG Credit and Ikigai Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MG Credit position performs unexpectedly, Ikigai Ventures 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 Ikigai Ventures will offset losses from the drop in Ikigai Ventures' long position.MG Credit vs. Impax Environmental Markets | MG Credit vs. FinecoBank SpA | MG Credit vs. Liechtensteinische Landesbank AG | MG Credit vs. Tata Steel Limited |
Ikigai Ventures vs. Eastman Chemical Co | Ikigai Ventures vs. American Tower REIT | Ikigai Ventures vs. Ameriprise Financial | Ikigai Ventures vs. Ibstock PLC |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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